10 Best Database Migration Tools and Platforms in 2027

Moving a database to a new environment is rarely as simple as copying records from one system to another. Organizations may need to transfer millions of records, preserve relationships between tables, convert database schemas, maintain application compatibility, and keep services available throughout the transition. The work becomes more complicated when the source and destination use different database engines or operate across on-premises infrastructure and cloud platforms.

Database migration tools help teams manage these transitions with less manual effort. Depending on the software, they can transfer existing database records, convert schemas, replicate ongoing changes, or manage structural updates across development, testing, and production environments. Some database migration platforms are designed for moving entire databases to cloud services, while others focus on version-controlled schema changes or continuous data replication.

The available solutions range from free and open-source migration utilities to managed cloud services and enterprise data replication platforms. Tools such as Flyway, Atlas, and Alembic help development teams manage database schema changes, while AWS Database Migration Service and Azure Database Migration Service support migrations to their respective cloud environments. Airbyte and Debezium provide additional options for moving and streaming data between systems. These products address different migration requirements, so choosing one depends on the type of migration and the infrastructure involved.

In this guide, we compare the 10 best database migration tools in 2027 based on supported databases, migration methods, deployment options, schema management, change data capture (CDC), automation, and open-source availability. We also examine their key features, limitations, and ideal use cases to help you find the right database migration software for your project.

Why Do You Need Database Migration Tools?

Database migrations often involve more than transferring information from one server to another. Teams must account for database compatibility, application dependencies, data consistency, downtime, and the possibility of failed migration jobs. Database migration tools help organize these activities and make the process more predictable.

Here are some of the main reasons organizations use database migration software.

• Move databases to cloud platforms: Organizations frequently move databases from on-premises infrastructure to managed cloud services to change their hosting model or consolidate infrastructure. Database migration solutions help transfer supported databases to platforms such as AWS, Microsoft Azure, and Google Cloud. They can also support migrations between different cloud environments, depending on the source and destination combinations available.
• Reduce application downtime: Large databases can take considerable time to transfer. If applications continue changing data during the migration, teams need a way to keep the destination synchronized. Tools with change data capture capabilities can replicate ongoing changes and help reduce the downtime required during the final cutover. The actual downtime depends on the database, migration method, network, and workload.
• Migrate between different database engines: Organizations sometimes move from one database system to another to meet application, licensing, performance, or operational requirements. For example, a team may migrate from Oracle to PostgreSQL or from SQL Server to a cloud-managed database. Migration tools can help transfer data and, where supported, convert schemas and database objects.
• Maintain data consistency and integrity: A successful migration must preserve the information being transferred. Database migration platforms can provide validation, replication monitoring, error reporting, and other mechanisms to help teams identify incomplete transfers or synchronization problems. These checks are important when moving business-critical information.
• Manage database schema changes: Application updates often require changes to database structures, including new tables, modified columns, and updated indexes. Schema migration tools help developers version these changes and apply them consistently across development, staging, and production environments.
• Automate recurring migration workflows: Manually executing database changes across several environments increases the possibility of mistakes. Migration software can integrate with CI/CD pipelines, version control, and deployment processes to automate supported operations. This helps development teams apply database changes in a controlled and repeatable way.
• Support real-time data replication: Some migration projects require the destination database to remain updated while the source continues operating. CDC-based tools capture changes from database transaction logs and send them to the destination or another data platform. This is useful for phased migrations, data synchronization, and modernization projects.
• Use AI to simplify migration planning: Some modern cloud migration services include AI-assisted schema conversion, compatibility analysis, or migration guidance. These features can help teams understand potential changes and speed up parts of the planning process. However, generated conversion scripts and recommendations should be reviewed and tested before they are applied to production databases.

Database Migration Tools Comparison

The following table compares database migration tools across different migration requirements, including cloud database transfers, schema versioning, and continuous data replication. The Open Source column uses a simple Yes or No classification based on the availability of an open-source product or edition.

Tool	Migration Type	Deployment	Database Support	Best For	Open Source	Free Plan or Trial
AWS Database Migration Service	Data migration and CDC	AWS cloud service	Multiple relational and NoSQL sources and targets	Migrating databases to AWS	No	Usage-based AWS pricing
Azure Database Migration Service	Data and schema migration	Azure cloud service	SQL Server, MySQL, PostgreSQL, Oracle, and supported sources	Moving databases to Azure	No	Azure service and resource pricing applies
Google Cloud Database Migration Service	Data migration and continuous replication	Google Cloud service	MySQL, PostgreSQL, SQL Server, Oracle, and supported scenarios	Migrating databases to Google Cloud	No	Check current service and destination pricing
Redgate Flyway	Schema migration	CLI, desktop, and CI/CD	60+ supported database platforms	Version-controlled database deployments	Yes	Free Community edition
Liquibase	Schema migration and database change management	CLI, desktop integrations, and CI/CD	60+ databases	Managing database changes across teams	No	Free Community edition; current license is source-available
Atlas	Declarative and versioned schema migration	CLI and cloud platform	MySQL, PostgreSQL, SQLite, SQL Server, and supported systems	Schema-as-code and automated migrations	Yes	Free open-source CLI and cloud options
Airbyte	Data migration and replication	Cloud and self-hosted	Hundreds of supported data connectors	Moving data between databases and data platforms	Yes	Free self-hosted edition; cloud plans available
Debezium	Change data capture and streaming	Self-hosted, Kafka Connect, and supported runtimes	MySQL, PostgreSQL, MongoDB, SQL Server, Oracle, and others	Continuous database change replication	Yes	Free and open source
Qlik Replicate	Data migration and replication	Cloud and on-premises deployment options	Multiple enterprise databases and data platforms	Enterprise data replication and modernization	No	Commercial product; request pricing
Oracle GoldenGate	Data replication and low-downtime migration	Cloud and on-premises	Oracle and supported heterogeneous databases	Large-scale enterprise migrations	No	Commercial licensing

10 Best Database Migration Tools in 2027

Database migration tools do not all perform the same job. Some move existing data between source and destination systems, while others manage schema changes or continuously replicate database transactions. The following tools cover these different requirements, from cloud migration services to developer-focused and open-source migration utilities.

#1. AWS Database Migration Service

AWS Database Migration Service (AWS DMS) is a managed service for moving databases and data workloads to Amazon Web Services. It supports migrations from on-premises databases, databases hosted on Amazon EC2, and other supported cloud environments to AWS database services. Organizations can use it for migrations between similar database engines as well as supported heterogeneous migrations, such as moving from Oracle to PostgreSQL. This makes it useful for businesses modernizing their database infrastructure or consolidating workloads within AWS.

AWS DMS supports full-load migrations, ongoing replication through change data capture, and combinations of the two. A full-load task transfers existing data to the destination, while CDC captures subsequent changes from the source database. Teams can use both approaches to move existing records and keep the destination updated before switching applications to the new environment. AWS also provides schema conversion capabilities for supported heterogeneous migration scenarios, although schema conversion and data movement are separate parts of the migration process.

AWS DMS is a managed cloud service rather than an open-source database migration platform. Its pricing depends on the selected replication resources, storage, and other AWS infrastructure requirements. Organizations already using AWS can benefit from its integration with services such as Amazon RDS and other AWS data destinations. However, teams migrating to a non-AWS destination should compare alternative tools and verify that the required source and target combinations are supported.

Key Features

• Full-load database migration: Transfer existing data from supported source databases to destination environments. AWS DMS can create target tables when necessary, subject to the migration configuration and target capabilities.
• Change data capture: Capture ongoing database changes and replicate them to the target. CDC can be used alongside an initial full load to keep the destination synchronized while applications continue using the source database.
• Heterogeneous migration support: Move data between different database engines for supported source and target combinations. AWS DMS supports scenarios such as Oracle-to-PostgreSQL migrations, although schema conversion may require additional preparation.
• Schema conversion: AWS DMS Schema Conversion helps assess and convert database schemas and code for supported migration paths. It identifies objects that require manual attention and can assist with generating converted database structures.
• Broad source and target support: Work with supported databases and data stores, including Oracle, SQL Server, MySQL, PostgreSQL, MariaDB, MongoDB, and Amazon database services. Exact compatibility depends on database versions and migration direction.
• Migration monitoring: Track task progress, migration status, and replication activity through the AWS Management Console and supported monitoring integrations.
• AWS ecosystem integration: Connect migration workflows with Amazon RDS, Amazon S3, Amazon Redshift, and other supported AWS destinations.
• Migration task configuration: Configure full-load, CDC, and combined migration tasks according to the source database, target environment, and workload requirements.

G2 Rating: 4.1/5 (50 reviews).

#2. Azure Database Migration Service

Azure Database Migration Service is Microsoft’s managed database migration solution for moving supported databases into Azure. It helps organizations transition from on-premises database environments and other supported hosting platforms to Azure database services. The service supports migration scenarios involving SQL Server, MySQL, PostgreSQL, Oracle, and other supported sources, depending on the selected destination and migration path.

The platform provides guided migration workflows for supported database combinations. Teams can perform offline migrations when application downtime is acceptable or use online migration options that continuously synchronize changes before cutover. Azure DMS also supports migration planning and integrates with Microsoft’s wider database migration ecosystem. This is particularly useful for organizations moving legacy database workloads to Azure SQL, Azure Database for MySQL, or other supported Azure services.

Azure Database Migration Service is a cloud-managed offering rather than open-source software. Its migration capabilities and availability vary by source, destination, region, and migration scenario, so teams should check Microsoft’s supported-scenario documentation before planning a project. It is a practical choice for organizations moving databases into Azure, but businesses looking for a general-purpose migration solution across multiple cloud providers may need a different platform.

Key Features

• Guided migration workflows: Use guided processes to configure supported database migration projects. The service helps users select source and destination systems and configure migration activities.
• Offline and online migrations: Perform one-time migrations or use supported online migration scenarios to reduce application downtime. Online migration availability varies by database combination.
• SQL Server migration: Move supported SQL Server databases to Azure SQL Database, Azure SQL Managed Instance, or SQL Server on Azure Virtual Machines.
• Open-source database migration: Migrate supported MySQL and PostgreSQL databases to Azure-managed database services. Supported paths include migrations from certain Amazon RDS and Google Cloud SQL environments.
• MongoDB migration: Support migration scenarios involving MongoDB and Azure’s supported MongoDB-compatible destinations, including Azure Cosmos DB and Azure DocumentDB migration paths.
• Migration monitoring: Review migration activity and progress through Azure’s management interfaces. This helps teams identify issues and follow the migration process.
• Azure integration: Connect migration projects with Azure database services and the broader Azure infrastructure ecosystem.
• Command-line automation: Use supported command-line tools and automation workflows to manage migration activities where available.

G2 Rating: 4.3/5 (20 reviews).

#3. Google Cloud Database Migration Service

Google Cloud Database Migration Service is a managed platform for moving databases into Google Cloud. It supports migration scenarios involving databases such as MySQL and PostgreSQL, with additional supported paths for SQL Server and Oracle. Organizations can use the service to migrate existing database workloads to Cloud SQL and AlloyDB while reducing the amount of infrastructure they need to manage during the transfer.

The service supports both homogeneous and heterogeneous migration scenarios where available. Homogeneous migrations move data between compatible instances of the same database engine, while heterogeneous migrations involve moving between different engines or database platforms. Google Cloud Database Migration Service manages the initial data transfer and ongoing replication for supported online migrations, helping teams keep the destination updated before completing the final cutover.

One of its notable capabilities is its integration with Google’s cloud infrastructure and AI-assisted schema and code conversion workflows for supported migration scenarios. These capabilities can help teams assess and prepare database changes when moving to Google-managed services. The service is not an open-source tool, and its suitability depends on the source and destination combination. Organizations planning migrations should review Google’s current compatibility matrix, regional availability, and destination service costs before starting.

Key Features

• Managed database migration: Move supported databases into Google Cloud without having to build and maintain a separate migration infrastructure for every project.
• Homogeneous migrations: Transfer databases between compatible instances of the same engine, including supported MySQL-to-Cloud SQL and PostgreSQL-to-Cloud SQL migration scenarios.
• Heterogeneous migrations: Support selected cross-engine migration workflows, allowing organizations to modernize database environments through supported conversion and migration processes.
• Continuous data replication: Keep supported destination databases synchronized with ongoing changes from the source. This can reduce the time required for application cutover.
• AI-assisted conversion: Use Gemini-powered conversion capabilities in supported heterogeneous migration workflows to help with schema and code conversion.
• Migration monitoring: Review migration status, initial data transfer, replication progress, and related migration information through Google Cloud interfaces.
• Cloud SQL and AlloyDB integration: Migrate supported workloads to Google’s managed relational database services.
• Migration assessment and planning: Use Google’s migration documentation and supported tools to understand database compatibility and prepare migration projects.

G2 Rating: 4.5/5 (1 review). G2 does not have enough reviews for a meaningful buying assessment of this product.

#4. Redgate Flyway

Redgate Flyway is a database migration and version-control tool designed to help development teams manage database schema changes. Instead of treating database updates as isolated administrative tasks, Flyway allows teams to store migration scripts alongside application code and apply them in a controlled sequence. This makes it useful for developers and database administrators who need consistent database structures across development, testing, and production environments.

Flyway primarily uses versioned migration files, including SQL scripts and supported Java-based migrations. Each migration is tracked so the tool can identify which changes have already been applied to a database. Teams can use its core commands to migrate, validate, repair, and inspect database versions. Flyway also supports CI/CD integrations, allowing database changes to become part of an automated software delivery process.

Flyway offers a free Community edition and paid commercial editions with additional database change management capabilities. Its Community edition is open source under the Apache 2.0 license. The platform supports more than 60 database systems, although advanced capabilities are not available for every engine or edition. Flyway is best suited to teams that want repeatable, version-controlled schema migrations rather than a general-purpose service for copying large volumes of data between unrelated database platforms.

Key Features

• Version-controlled migrations: Store database changes in ordered migration files and apply them consistently across different environments. Flyway records which migrations have already been executed.
• SQL and Java migrations: Define schema changes through SQL scripts or supported Java-based migration methods. This gives development teams flexibility in how they implement database updates.
• Migration validation: Validate migration files and database history to identify inconsistencies before or during deployment.
• Database baseline and repair: Use baseline operations to bring existing databases under migration management and repair supported migration history issues.
• CI/CD integration: Integrate migration workflows into build and deployment pipelines so database changes can be applied alongside application releases.
• Broad database support: Work with more than 60 supported database platforms, including PostgreSQL, SQL Server, Oracle, MySQL, MariaDB, Snowflake, and Databricks. Feature availability varies by platform and edition.
• Migration information: Inspect migration status and history to understand which changes have been applied and which remain pending.
• Advanced database change capabilities: Flyway Enterprise adds capabilities such as deployment script generation, change reporting, and schema drift detection for supported databases.

G2 Rating: 4.5/5 (104 reviews).

#5. Liquibase

Liquibase is a database change management and migration platform that helps development teams track and deploy database schema changes. It provides a structured approach to managing database updates through changelogs, allowing teams to document changes and apply them consistently across different environments. This is particularly useful for organizations that need to coordinate database deployments across multiple applications, teams, and database systems.

The platform supports migration definitions written in formats such as SQL, XML, YAML, and JSON. Teams can use changesets to define database modifications, track deployment history, and manage database updates through development and CI/CD workflows. Liquibase also provides capabilities for database comparison, rollback operations, preconditions, and change validation, depending on the edition and supported database platform.

Liquibase offers a Community edition and a commercial Liquibase Secure platform. Its licensing requires careful attention: the current Community edition uses the Functional Source License rather than an OSI-approved open-source license, so it is marked No in our open-source comparison. Liquibase supports more than 60 databases, making it a useful option for organizations managing heterogeneous environments. Its main focus is database change management and schema migration rather than bulk data movement between systems.

Key Features

• Changelog-based migrations: Define database changes through structured changelogs using SQL, XML, YAML, or JSON. This allows teams to document and manage database modifications in a consistent format.
• Version-controlled changesets: Track database updates through changesets that record which changes have been applied to each environment.
• Rollback support: Define rollback operations for supported changesets, helping teams reverse database updates when a deployment needs to be undone.
• Database comparison: Compare database schemas and identify differences between environments. This can help teams review changes before applying them.
• Preconditions: Configure conditions that must be met before a changeset runs. This helps prevent database operations from executing in unsuitable environments.
• CI/CD integration: Integrate database migration workflows with automated build and deployment pipelines.
• Broad database compatibility: Support more than 60 database platforms, including relational, NoSQL, graph, and cloud database systems. Specific functionality depends on the database and edition.
• Governance and compliance: Liquibase Secure adds enterprise capabilities for database change governance, policy enforcement, drift detection, audit evidence, and controlled deployments.

G2 Rating: 4.5/5 (28 reviews).

#6. Atlas

Atlas is a database schema management and migration tool designed around the idea of schema-as-code. It helps developers define the desired structure of a database and manage changes through declarative or versioned migration workflows. This approach is useful for teams that want database structures to be maintained alongside application code and reviewed through established development processes.

The platform can inspect database schemas, calculate differences between the current and desired states, and generate migration plans. Developers can use declarative workflows to describe how a database should look or create versioned migration files that record individual changes. Atlas also includes schema linting, migration validation, and CI/CD integrations to help teams identify potentially unsafe changes before deployment.

Atlas provides an open-source CLI, along with commercial cloud and enterprise capabilities. Its open-source core makes it an option for teams that want to manage database schemas through code without immediately adopting a paid platform. Atlas is primarily focused on schema management and migration rather than transferring large datasets between different cloud providers. Teams should verify the supported database engines and edition-specific functionality before adopting it for complex migration projects.

Key Features

• Declarative schema management: Define the desired database structure and allow Atlas to calculate the changes needed to reach that state.
• Versioned migrations: Generate and manage ordered migration files that can be reviewed, stored in version control, and applied across environments.
• Schema inspection and diffing: Inspect database structures and compare the current schema with a desired definition to identify differences.
• Migration planning: Generate migration plans based on schema changes. This helps developers review the SQL operations before applying them.
• Schema linting: Check migration files and schema changes for potential issues, including unsafe or destructive operations.
• CI/CD integration: Connect database migration workflows to automated development and deployment pipelines.
• ORM integration: Work with schema definitions and models from supported frameworks and ORMs, including Prisma, SQLAlchemy, Django, and other supported integrations.
• Cloud collaboration: Atlas Cloud provides additional capabilities for teams that need centralized schema management and collaboration.

G2 Rating: No verified G2 rating for the Atlas database migration product. G2 search results for other products named Atlas should not be treated as ratings for this tool.

#7. Airbyte

Airbyte is an open-source data integration platform that helps organizations move information between databases, applications, warehouses, and other data systems. It is primarily designed for data integration and replication workflows rather than traditional schema versioning. For database migration projects, Airbyte can be useful when teams need to transfer data from supported source systems into a new database or analytical destination.

The platform uses connectors to establish connections between data sources and destinations. Users can configure synchronization workflows, select the data they want to transfer, and schedule or run data syncs. Airbyte supports full refresh and incremental synchronization for compatible connectors, while some database connectors also provide CDC capabilities. Its connector ecosystem makes it useful for moving data between different database systems and modern data platforms.

Airbyte offers a self-hosted open-source edition and managed cloud services. This gives teams the option to operate their own data integration infrastructure or use a managed deployment. However, Airbyte should not be considered a direct replacement for schema migration tools such as Flyway or Liquibase. It focuses on moving and synchronizing data, and users need to verify connector-specific support for incremental sync, deletes, CDC, and destination behavior before planning a migration.

Key Features

• Connector-based data movement: Connect supported databases, applications, and data platforms through a library of source and destination connectors.
• Full refresh synchronization: Transfer the available records from a source to a destination through supported full-refresh sync modes.
• Incremental synchronization: Transfer new or updated records without repeatedly copying the entire source dataset, where the connector supports incremental sync.
• Change data capture: Use supported CDC connectors to capture ongoing database changes and keep destination systems updated.
• Self-hosted deployment: Deploy the open-source edition in your own infrastructure for greater control over the data integration environment.
• Managed cloud service: Use Airbyte Cloud to run supported data integration workflows without managing the entire deployment yourself.
• Connector development: Extend the platform through custom connectors when an existing integration does not meet a specific source or destination requirement.
• Monitoring and synchronization management: Review sync status, connection health, and workflow execution information through the Airbyte interface.

G2 Rating: 4.4/5 (79 reviews).

#8. Debezium

Debezium is an open-source change data capture platform designed to capture changes made in databases and make them available to other systems. It is commonly used in data integration architectures where applications, analytics platforms, or downstream databases need to receive database changes without repeatedly querying the source. For migration projects, Debezium can help keep a destination system updated while an organization transitions workloads from one environment to another.

The platform uses database-specific connectors to capture inserts, updates, and deletes from supported database transaction logs. These changes are converted into event records that can be consumed by downstream applications and data systems. Debezium is commonly deployed with Apache Kafka Connect, although other supported deployment models are available. Its log-based CDC approach helps teams capture changes with low latency while avoiding frequent polling of the source database.

Debezium is free and open source, making it a useful option for engineering teams building their own data replication pipelines. It supports databases including MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, MariaDB, and Db2, with additional connectors at different maturity levels. However, Debezium is not a complete database migration service: teams still need to manage initial snapshots, destination loading, schema compatibility, and the infrastructure required to run and monitor the pipeline.

Key Features

• Log-based change data capture: Capture database changes from transaction logs rather than relying on frequent polling. This helps reduce the overhead associated with repeatedly querying source tables.
• Database source connectors: Use connectors for supported databases, including MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, MariaDB, Db2, and Cassandra.
• Initial snapshots: Capture an initial snapshot of existing database records when setting up a connector, subject to connector capabilities and configuration.
• Insert, update, and delete events: Produce event records for database changes, allowing downstream applications and systems to process changes as they occur.
• Apache Kafka Connect integration: Deploy connectors through Kafka Connect and route database change events into Kafka topics for downstream processing.
• Debezium Server: Use Debezium Server for supported deployment scenarios where change events need to be delivered to configured messaging or data destinations.
• Low-latency event capture: Capture changes with low delay under suitable workloads and configurations. Actual latency depends on database activity, infrastructure, and downstream processing.
• Schema and metadata information: Include event metadata and supported schema information to help downstream systems interpret captured database changes.

G2 Rating: No verified G2 product rating available.

#9. Qlik Replicate

Qlik Replicate is an enterprise data replication and integration platform designed to move information between databases, data warehouses, and other data platforms. It is used by organizations that need to replicate data across heterogeneous environments, modernize database infrastructure, or make operational data available to analytical systems. Its graphical interface and automated replication workflows make it relevant to large-scale database migration projects.

The platform supports full-load data transfers and ongoing replication through change data capture. Teams can configure source and target connections, select the data they need to move, and manage replication tasks across supported database systems. Qlik Replicate is particularly useful when a migration needs to keep the target environment synchronized while applications continue operating against the source. This can help reduce the amount of data that needs to be transferred during the final cutover.

Qlik Replicate is a commercial enterprise product rather than open-source database migration software. Its value is strongest in organizations with complex data replication requirements, multiple database platforms, and large data volumes. However, implementation and configuration may require specialist knowledge, particularly in environments with several source and target systems. Organizations should review connector compatibility, licensing, and infrastructure requirements before selecting it.

Key Features

• Automated data replication: Configure replication tasks to move information between supported source and target systems without relying on manually written transfer scripts for every workflow.
• Full-load migration: Transfer existing data from supported source databases to destination systems as part of a migration project.
• Change data capture: Capture ongoing changes from supported source databases and replicate them to target environments to keep data synchronized.
• Heterogeneous database support: Work across different database engines and data platforms, including supported enterprise databases, warehouses, and cloud destinations.
• Real-time data integration: Deliver ongoing database changes to downstream systems with low latency, depending on source, target, and workload conditions.
• Replication monitoring: Monitor migration tasks, replication status, and data movement through the platform’s management interface.
• Automated task configuration: Configure and manage replication workflows through a graphical interface, reducing the need to develop every migration process from scratch.
• Enterprise data modernization: Support migration and replication projects involving on-premises databases, cloud platforms, data warehouses, and other enterprise systems.

G2 Rating: 4.3/5 (109 reviews).

#10. Oracle GoldenGate

Oracle GoldenGate is an enterprise data replication and integration platform used to move and synchronize information across heterogeneous database environments. It is designed for organizations that need continuous data replication, high availability, disaster recovery, and low-downtime database migrations. Although it is closely associated with Oracle Database, GoldenGate also supports a range of non-Oracle database technologies.

The platform uses change data capture to capture transactional changes from supported databases and apply them to target systems. This makes it useful for projects where a source database must remain operational while information is replicated to a new environment. Organizations can use GoldenGate for database modernization, platform migrations, reporting environments, and active-active data synchronization. Its capabilities are particularly relevant to large enterprise environments where database availability and transaction consistency are important.

Oracle GoldenGate is commercial software and is not open source. It is available through supported on-premises and cloud deployment options, with product packaging and database compatibility varying by offering. Its enterprise capabilities come with implementation and licensing considerations, and configuring complex replication environments can require experienced database professionals. Organizations should evaluate the supported source and target combinations and the total cost of ownership before selecting it for a migration project.

Key Features

• Change data capture: Capture transactional changes from supported databases and deliver them to target environments. This supports ongoing replication while source applications remain active.
• Low-downtime database migration: Replicate changes to a destination database before cutover, helping organizations reduce the downtime required to complete supported migration projects.
• Heterogeneous replication: Move and synchronize data across supported Oracle and non-Oracle database systems, including PostgreSQL, MySQL, SQL Server, Db2, and other supported platforms.
• Real-time data integration: Deliver database changes to supported analytical platforms, messaging systems, and other data destinations.
• Active-active replication: Support configurations where multiple database systems exchange changes, subject to the product’s supported architecture and conflict-handling requirements.
• High availability and disaster recovery: Use replication workflows to maintain synchronized database environments for supported availability and recovery scenarios.
• Data transformation: Apply supported transformation and mapping rules during data movement to meet destination requirements.
• Cloud and on-premises deployment: Support enterprise replication architectures across supported Oracle Cloud and on-premises environments, with additional heterogeneous destinations depending on the product package.

G2 Rating: 3.9/5 (34 reviews).

How to Choose the Best Database Migration Tools

The right database migration software depends on what you are moving, where the data is going, and how much downtime your applications can tolerate. A tool designed for schema versioning may not be suitable for transferring an entire production database, while a cloud migration service may not provide the database change management features a development team needs.

Consider the following factors before choosing a database migration platform.

• Identify the type of migration: First, determine whether you need to move an entire database, transfer selected tables, migrate a schema, or replicate ongoing changes. AWS DMS, Azure DMS, and Google Cloud Database Migration Service focus on data movement to their respective cloud ecosystems. Flyway, Liquibase, and Atlas are better suited to managing schema changes across environments.
• Check source and destination compatibility: Verify that the tool supports both your existing database and the target platform. Look beyond the database name and check supported versions, data types, authentication methods, and migration direction. A product may support a particular engine as a source but not necessarily as a destination.
• Evaluate downtime requirements: Consider how long your applications can remain unavailable during the migration. If downtime must be limited, look for tools that support online migration or CDC. However, CDC does not automatically guarantee zero downtime; the final cutover still requires testing, synchronization checks, and a planned transition.
• Review schema conversion capabilities: When moving between different database engines, differences in SQL dialects, data types, indexes, stored procedures, and other objects can create compatibility problems. Check whether the migration tool can convert schemas automatically and identify the objects that require manual changes.
• Assess data integrity and validation: Look for features that help verify whether records have been transferred correctly. Depending on the tool, this may include row counts, validation reports, replication monitoring, error logs, and data comparison. Always test the migration with representative data before moving production workloads.
• Compare open-source and commercial solutions: Open-source tools such as Flyway, Atlas, Airbyte, and Debezium can provide flexibility and control over migration workflows. Commercial platforms may offer managed infrastructure, enterprise support, advanced replication, and governance features. Compare licensing, infrastructure costs, maintenance requirements, and available support.
• Check automation and integration options: If database changes are part of regular software releases, consider tools that integrate with Git, CI/CD pipelines, and application development workflows. For large data migrations, evaluate orchestration, scheduling, monitoring, and retry capabilities.
• Consider scalability and performance: Estimate the database size, transaction volume, network throughput, and expected migration window. Large migrations may require parallel loading, dedicated replication resources, and careful workload planning. Test performance with realistic data volumes rather than relying only on vendor benchmarks.
• Evaluate security and compliance: Database migration often involves sensitive business information. Review encryption in transit and at rest, credential management, access permissions, audit logs, and regional data-handling requirements. Make sure temporary migration infrastructure and staging environments follow the same security standards as production systems.
• Review AI-assisted migration capabilities: AI-assisted schema conversion and migration guidance can help identify compatibility issues and speed up preparation. However, generated scripts should be reviewed by experienced database professionals. Do not rely on AI recommendations alone for destructive schema changes or production cutovers.

Conclusion

Database migration tools help organizations move data, modernize database infrastructure, and manage schema changes across different environments. The right solution depends on whether the project involves transferring an entire database, moving to a cloud platform, maintaining ongoing replication, or managing application-driven schema updates.

AWS Database Migration Service, Azure Database Migration Service, and Google Cloud Database Migration Service are useful choices for organizations moving supported databases into their respective cloud ecosystems. Flyway, Liquibase, and Atlas are better suited to version-controlled schema migrations, while Airbyte and Debezium provide options for data movement and continuous change capture. For larger enterprise replication projects, Qlik Replicate and Oracle GoldenGate offer more extensive data replication capabilities.

Teams looking for open-source database migration tools can start with Flyway, Atlas, Airbyte, and Debezium, depending on their migration requirements. Before choosing a platform, verify database compatibility, test the migration process, and plan the final cutover carefully. A successful migration depends not only on the software but also on preparation, validation, and a clear recovery plan.

Tool	Best Use Case
AWS Database Migration Service	Moving databases to AWS with full-load and CDC options
Azure Database Migration Service	Migrating supported databases to Azure
Google Cloud Database Migration Service	Moving supported databases to Cloud SQL and AlloyDB
Redgate Flyway	Version-controlled database schema migrations
Liquibase	Managing and governing database changes across teams
Atlas	Declarative schema management and automated migrations
Airbyte	Moving and synchronizing data across databases and data platforms
Debezium	Open-source change data capture and event streaming
Qlik Replicate	Enterprise database replication and modernization
Oracle GoldenGate	Low-downtime enterprise migrations and continuous replication

FAQs

What are database migration tools?

Database migration tools are software applications and services that help organizations move data, database structures, and workloads from one database environment to another. They can support tasks such as transferring records, converting schemas, replicating ongoing changes, and deploying database updates across different environments.

What are the best database migration tools in 2027?

Some of the best database migration tools in 2027 include AWS Database Migration Service, Azure Database Migration Service, Google Cloud Database Migration Service, Redgate Flyway, Liquibase, Atlas, Airbyte, Debezium, Qlik Replicate, and Oracle GoldenGate. The right choice depends on whether you need data migration, schema migration, cloud migration, or continuous replication.

Are there free database migration tools?

Yes. Several database migration tools offer free or open-source editions. Examples include Flyway Community, Atlas, Airbyte, and Debezium. Some commercial cloud migration services also provide usage-based pricing or limited free access, but users should check the current pricing and infrastructure costs before starting a project.

What are the best open-source database migration tools?

Flyway, Atlas, Airbyte, and Debezium are useful open-source options for different migration requirements. Flyway and Atlas focus on schema changes, while Airbyte supports data movement and Debezium captures ongoing database changes through CDC. Alembic, golang-migrate, and other developer-focused utilities are also worth considering for application-specific schema migrations.

What is the difference between database migration and database replication?

Database migration involves moving data or database workloads from a source environment to a destination, often as part of a one-time transition. Database replication continuously copies changes from one database to another. Replication can be used during a migration to keep the destination updated until the final cutover.

What is the difference between database migration and schema migration?

Database migration can involve moving data, database structures, or entire workloads between environments. Schema migration focuses specifically on changing the database structure, such as creating tables, modifying columns, and updating indexes. Tools such as Flyway, Liquibase, and Atlas are primarily designed for schema migration.

Which database migration tools support cloud migration?

AWS Database Migration Service, Azure Database Migration Service, and Google Cloud Database Migration Service provide managed migration workflows for their respective cloud ecosystems. Enterprise products such as Qlik Replicate and Oracle GoldenGate can also support migration and replication across supported cloud and on-premises environments.

How can database migration tools reduce downtime?

Some database migration tools use change data capture to replicate updates made to the source database while the initial data transfer is taking place. Once the destination is sufficiently synchronized, teams can schedule a final cutover. The actual downtime depends on the migration method, database workload, replication lag, and application requirements.

Do database migration tools support different database engines?

Many database migration tools support multiple database engines, but their capabilities vary. AWS DMS, Azure DMS, Google Cloud Database Migration Service, Qlik Replicate, and Oracle GoldenGate support selected heterogeneous migration scenarios. Schema migration tools such as Flyway and Liquibase also support numerous database platforms, although they do not all perform bulk data migration.

Can AI help with database migration?

AI can assist with parts of the database migration process, including schema conversion, SQL translation, compatibility analysis, and migration planning. Google Cloud Database Migration Service includes Gemini-powered conversion capabilities for supported scenarios. AI-generated scripts and conversion recommendations should still be reviewed and tested before production use.