Companies increasingly migrate databases between clouds and different DBMSs. They are moving away from expensive licensed DBMSs toward open-source tools. Also, teams are moving data from on-premise to the cloud, between clouds, or from one managed service to another and so on. And modernizing old systems requires migrating the database to a more flexible platform.
That is why the PostgreSQL migration tool has become especially popular. Businesses need tools that can migrate schemas and synchronize changes in real-time. These tools should reduce downtime and mitigate risks during transition.
But choosing the right tool can be challenging. Different solutions perform better in different scenarios. Some are well-suited for a one-time migration. Others need near-continuous replication and minimal downtime. Some solutions are convenient for DBAs and developers, and others are suitable for large enterprise projects. A mistake in choosing the right solution can lead to schema issues and other difficulties.
In this article, we’ll explore how PostgreSQL migration tools differ and when each option is best used.
Key Takeaways
- There’s no universal tool for PostgreSQL databases migration.
- For live systems, CDC and low-downtime scenarios are especially important.
- Simple utilities are suitable for small and one-off migrations.
- Cloud-native and enterprise projects require more manageable solutions.
- The choice of tool depends on scale, architecture, and acceptable downtime.
What is PostgreSQL?
PostgreSQL is a powerful open-source relational DBMS. It has moved far beyond the status of a “free alternative.” Companies use it for internal services and mission-critical workloads. It is known for its reliability and strong support for complex SQL scripts.
Key Capabilities Important for Migration
PostgreSQL migration is easier with built-in and ecosystem key features:
- advanced data type support
- JSON/JSONB support
- logical replication
- extensions
- advanced index management
- robust backup/restore mechanisms
PostgreSQL tools, such as pg_dump and pg_restore, are suitable for logical data migration.
Why PostgreSQL is a Popular Target Platform
Companies often choose PostgreSQL as a destination for its combination of price and maturity. For many companies, it’s a way to reduce vendor lock-in and gain more control over architecture.
Why are Organizations Migrating Data to PostgreSQL?
- Cost and Licensing. PostgreSQL migration often starts with a question: why pay more if you can get a mature DBMS without expensive licenses? For companies looking to reduce TCO, PostgreSQL is a logical and reliable choice.
- Open-source Ecosystem. PostgreSQL has a very strong ecosystem of extensions and managed services.
- Performance and Scalability. PostgreSQL performance is suitable for a wide range of tasks.
- Advanced SQL and Extensibility. When teams need complex queries and advanced indexes, PostgreSQL features are especially valued.
- Growth of Cloud PostgreSQL. Managed PostgreSQL has become the standard for many modern teams. Services like Amazon RDS, Google Cloud SQL, Azure Database for PostgreSQL, and others make deployment and maintenance easier. This means they’re driving demand for easy-to-use migration tools.
Key Criteria for Selecting a PostgreSQL Migration Tool
You should choose a tool not based on popularity, but based on your scenario.
#1 Support for source and target databases
Data migration tools should support PostgreSQL and your legacy system.
#2 Offline or online migration
Choose offline migration if you can afford downtime. And online migration works if the system must remain operational during the migration.
#3 Support of CDC
CDC migration support is especially useful for production environments with minimal downtime. Change Data Capture allows you to first load the bulk of your data and then catch up with changes before the cutover.
#4 Schema and data type compatibility
Schema and data type compatibility is one of the most common risk points in schema migration. A tool must be able to correctly migrate types and handle constraints. It should account for indexes, sequences, triggers, and dependencies.
#5 Performance and scalability
Large database migration requires solutions that can handle large volumes and high loads. And all – without critical performance degradation.
#6 Operational complexity
Even a powerful tool can be a bad choice if it requires excessive expertise or complex support.
#7 Monitoring and errors
Migration monitoring is essential for process control. A good tool should help track progress and quickly identify problematic tables or transformations.
#8 Cost and licensing model
Migration tool pricing and licensing models can sometimes make the difference. A free tool can be expensive to operate, while a paid one can save weeks of teamwork.
The Best Data Migration Tools for PostgreSQL in 2026
#1 Estuary
Estuary is a modern tool for streaming replication and CDC scenarios. It is especially useful where near-continuous data synchronization is essential.
Estuary’s CDC-based PostgreS migration approach is focused on near-real-time replication. This approach allows for maintaining data relevance until the final cutover.
When CDC migration tools like Estuary are especially useful:
- Minimizing downtime
- Cross-cloud migration
- Migrating production workloads
- Gradual cutovers
It is good at CDC support. Estuary is suitable for online migration and convenient for scenarios with continuous data updates.
Limitations: It is not always optimal for simple one-time migration tasks. This tool may also be excessive for small databases and simple migrations.
Best Use Case: Live production systems where minimal downtime is critical, and a managed CDC‑based approach fits the operational model.
#2 AWS Database Migration Service (DMS)
AWS DMS is one of the most well-known managed data migration tools for PostgreSQL, especially if the infrastructure already resides in AWS. It offloads some of the operational burden because it operates as a managed service. AWS DMS supports many popular sources and targets, as well as ongoing replication and CDC scenarios.
Pros:
- Well integrated into the AWS ecosystem
- Supports migration and replication
- Suitable for enterprise scenarios
Cons:
- Configuration option can be more complex than it seems
- Complex schemas and specific objects often require additional manual steps
- Not all scenarios are equally convenient outside of AWS
Best Scenarios: AWS-centric migration is the best context for DMS. If your target is Amazon RDS or Aurora PostgreSQL, this option is especially logical.
#3 pg_dump and pg_restore
pg_dump and pg_restore are classic built-in PostgreSQL utilities that are still very useful.
These tools are especially good for controlled scenarios. pg_dump creates a consistent logical dump without blocking reads and writes from other users. And pg_restore restores the database from an archive format and allows selective restoration of objects.
They are best suited for the migration of small and medium databases and test and staging environments. Also, when you need a one-time migration and controlled downtime.
Pros:
- free
- reliable
- well documented
- included in the standard PostgreSQL stack
Cons:
- Not the best option for live production migration with minimal downtime
- Large data volumes can take a long time to migrate
- No built-in CDC logic
When to use? If you need a simple PostgreSQL migration. And if the downtime is acceptable.
#4 dbForge Studio for PostgreSQL
dbForge Studio for PostgreSQL is convenient for developers, DBAs, and teams who need to track changes. When you need to migrate data and compare schemas, choose this one.
Strengths of its advanced features:
- Use friendly interface
- Schema compare
- Data compare
- Good for manual intervention and specific tasks
Limitations of its advanced features:
- Not the best choice for large continuous replication scenarios
- Less suitable for high-load online migration cases.
Best Scenarios: dev/stage/prod sync, DBA workflows, schema-heavy migration tasks, complex migrations with manual verification.
#5 EDB Database Migration Toolkit
EDB Migration Toolkit is a solution for enterprise teams, especially when it comes to migrating from Oracle to PostgreSQL. Oracle to PostgreSQL migration is one of the most complex scenarios due to differences in types, packages, procedures, sequences, and schema logic. This is where EDB is particularly strong.
Pros:
- Enterprise-focused, complex migrations
- Reduces manual adaptation
- Useful for complex schemas and high Oracle dependencies
Cons:
- Redundant for simple migrations
- More often needed in large projects than in SMB scenarios
Best Scenarios: If you have a complex Oracle to PostgreSQL migration, EDB is one of the most appropriate tools.
#6 pg_chameleon
pg_chameleon is an open-source tool focused on replication from MySQL to PostgreSQL. It supports initial loading and subsequent replication of changes.
Strengths:
- Free
- Useful for MySQL-to-PostgreSQL migration
- Provides more flexibility than purely manual approaches
Limitations:
- More narrow specialization
- Requires technical expertise
- Not always the best choice for general-purpose enterprise tasks
Best Scenarios: If you’re migrating from MySQL to PostgreSQL, this is still a viable option.
Other notable tools: pgloader, Ora2Pg, Debezium.
When to Choose Each Tool
Choose pg_dump / pg_restore if:
- You have a one-time migration
- The database is small or medium
- Downtime is acceptable
Choose AWS DMS if:
- Your infrastructure is already in AWS
- You need a managed approach
- CDC is important
Choose Estuary if:
- You need a near-real-time migration
- Downtime should be minimal
- Migration is part of a broader data strategy
Choose EDB Migration Toolkit if:
- You are migrating from Oracle
- Enterprise compatibility is required
- The database schema and logic are complex
Choose dbForge Studio for PostgreSQL if:
- A GUI is important
- Schema and data control are required
- The team works through DBA/dev workflows
Choose pg_chameleon if:
- The source database is MySQL
- Open-source option is needed
- The team is ready for more technical customization
Common PostgreSQL Migration Scenarios
#1 One-time database migration
One-time PostgreSQL migration is suitable for projects where a window for transfer and switchover is possible.
Best candidates: pg_dump / pg_restore, dbForge Studio, EDB Toolkit (for enterprise use cases)
#2 Production cutover with minimal downtime
Minimal downtime migration is especially important for SaaS, e-commerce, fintech, and other systems where downtime directly impacts business.
Best candidates: Estuary, AWS DMS, pg_chameleon (for MySQL)
#3 Continuous replication
Continuous data replication is needed if PostgreSQL is becoming a new production environment gradually.
Best candidates: Estuary, AWS DMS
#4 Cross-cloud or hybrid migration
Cross-cloud PostgreSQL migration often requires robust replication, network monitoring, security, and compatibility of managed services.
Best candidates: AWS DMS, Estuary
#5 Legacy database modernization
Legacy system modernization is almost always more complex than a pure migration. The challenge here is usually in data, schema, logic, integrations, and application compatibility.
Best candidates: EDB Migration Toolkit, AWS DMS, dbForge Studio, custom migration workflow
Best Practices for PostgreSQL Migration
1. Conduct a pre-migration assessment
Pre-migration assessment should answer key questions:
- What objects are in the database?
- What data types can cause problems?
- Are there any non-standard dependencies?
- What is the volume of data?
- What is the acceptable downtime?
2. Conduct source system performance benchmarking
Migration performance testing helps to understand in advance:
- How long will the migration actually take?
- Where might bottlenecks arise?
- Are there enough resources for the cutover?
3. Confirm the schema separately from the data
Schema validation is a mandatory step. Even if the data is migrated, schema incompatibility can break the application after launch.
4. Prepare a rollback strategy
Rollback planning is not needed “just in case,” but as a mandatory part of production migration. The team should know in advance: what to do in case of a failure, how to quickly roll back, and which checkpoints are safe.
5. Don’t forget about post-migration optimization
PostgreSQL optimization after migration is often underestimated. After the migration, it is important to check indexes, update statistics, test queries, and make sure that the application uses the new database effectively.
Conclusion
PostgreSQL migration tools in 2026 offer a wide selection. But the key takeaway remains simple: the best tool is the one that suits your specific scenario.
If you’re doing a one-time migration, say, a simple one, pg_dump / pg_restore are often enough. If you need to cut downtime and work with a production system, consider CDC-based tools like Estuary, AWS DMS. If the project is complex and enterprise-level, it’s more logical to choose specialized solutions like the EDB Migration Toolkit.
Approach tool selection as part of an architectural solution, not as a technical detail. This is often what determines whether a migration will be manageable or painful.
