Best AWS DMS Alternatives in 2026: 8 Tools Compared by Use Case

AWS Database Migration Service is a managed service for moving and replicating databases. It supports three primary task types: migrating existing data, replicating ongoing changes through change data capture (CDC), or combining a full load with ongoing replication.

AWS DMS remains a practical choice for many AWS-centric migrations. Teams generally consider an alternative when data movement becomes a permanent production pipeline and they need broader destinations, reusable change streams, built-in transformations, simpler recovery and schema evolution, multi-cloud deployment, or less operational work.

What is the best AWS DMS alternative?

The best AWS DMS alternative depends on the workload:

• Estuary is best for managed, low-latency CDC across databases, warehouses, streams, and clouds.
• Debezium is best for engineering teams building an open-source CDC and event-streaming architecture.
• Google Cloud Datastream is best for serverless replication into BigQuery, Cloud Storage, and Apache Iceberg in a GCP-centered stack.
• Oracle GoldenGate is best for mission-critical Oracle and heterogeneous enterprise replication.
• Qlik Replicate is best for high-volume enterprise and legacy-system replication.
• Fivetran is best for managed database-to-warehouse ingestion alongside a broader ELT connector catalog.
• Airbyte is best for teams prioritizing open-source extensibility and configurable synchronization.
• Striim is best for CDC pipelines that also require streaming transformations and multi-target routing.

If your requirement is a short-lived, AWS-native database migration, AWS DMS may still be the right choice. If you need an always-on, multi-cloud data pipeline, a CDC-focused platform will usually provide a better operational model.

AWS DMS Alternatives at a Glance

AWS DMS alternatives vary significantly in purpose. Some are designed for continuous CDC, while others focus on managed ELT, event streaming, or enterprise database replication. The right choice depends on your source and destination systems, latency requirements, deployment preferences, and the amount of infrastructure your team wants to manage.

No single platform is the best replacement for every AWS DMS workload. Estuary is a strong option for managed multi-cloud CDC; Debezium fits teams building their own event-streaming infrastructure; Datastream is optimized for GCP; and GoldenGate or Qlik Replicate may be better suited to complex enterprise estates.

Before choosing an alternative, confirm that it supports your exact source database, destination, required schema changes, recovery process and expected change volume. A proof of concept using a representative production workload is more reliable than comparing vendor latency claims in isolation.

How to Choose an AWS DMS Alternative

Evaluate each platform using these criteria:

• Workload: One-time database migration, ongoing CDC, or both.
• Compatibility: Support for your exact source, destination, and data types.
• Latency: Scheduled synchronization, near-real-time delivery, or continuous streaming.
• Reliability: Checkpointing, automatic recovery, replay, and backfill support.
• Schema evolution: How the platform handles new tables, columns, and breaking changes.
• Operations and cost: Infrastructure requirements, monitoring effort, pricing model, and data-transfer fees.

Test shortlisted platforms with a representative workload before moving production pipelines.

The 8 Best AWS DMS Alternatives in 2026

1. Estuary

Best for: Managed, continuous CDC across cloud and on-premises systems.

Estuary is a right time data platform that combines CDC, batch integration, streaming, and transformations. For supported databases, it can perform an incremental historical backfill while capturing new transaction-log changes, then deliver that data continuously or on a schedule.

Key capabilities

• Captures database changes and stores them in reusable, durable collections.
• Supports backfills and replay without extracting the source data again.
• Delivers the same captured data to multiple destinations.
• Provides SQL and TypeScript streaming transformations.
• Supports public-cloud, private, and BYOC deployments.
• Offers schema evolution workflows for updating collections and downstream materializations. Some changes can be automated, while others may require approval.

Estuary uses volume- and task-based pricing. Public pricing currently includes data-movement and connector-hour charges, while private and BYOC deployments require an annual plan.

When to choose Estuary over AWS DMS

Estuary is a strong AWS DMS alternative when replication is a permanent production workload rather than a temporary migration. It is especially relevant for multi-cloud destinations, reusable CDC streams, in-flight transformations, and teams that want to reduce infrastructure management.

For implementation details, see the AWS DMS-to-Estuary migration guide or the direct AWS DMS vs. Estuary comparison.

2. Debezium

Best for: Engineering teams that want open-source CDC and control over their streaming architecture.

Debezium captures database changes from transaction logs and converts them into ordered change events. It is most commonly deployed through Kafka Connect, but it can also run through Debezium Server or as an embedded Java engine.

Key capabilities

• Supports initial snapshots and continuous log-based CDC.
• Integrates with databases including PostgreSQL, MySQL, MongoDB, SQL Server, Oracle and Db2.
• Publishes change events to Kafka when deployed through Kafka Connect.
• Debezium Server supports destinations such as Amazon Kinesis, Google Cloud Pub/Sub, Apache Pulsar, Azure Event Hubs and Redis Streams.
• Provides filtering, routing and message transformations.

Debezium is free under an open-source license, but teams must operate the connectors, state storage, monitoring, recovery and downstream delivery infrastructure.

When to choose Debezium over AWS DMS

Choose Debezium when you need reusable database change events for microservices or event-driven applications and your team is prepared to manage the supporting infrastructure. For direct warehouse delivery with minimal operations, a managed platform may be more suitable.

See the detailed Debezium vs. Estuary comparison or review common Debezium challenges and alternatives.

3. Google Cloud Datastream

Best for: Serverless CDC pipelines built primarily around Google Cloud.

Google Cloud Datastream is a managed, serverless replication service. It can backfill historical records while simultaneously capturing ongoing changes, reducing the gap between the initial load and continuous replication.

Key capabilities

• Supports MySQL, Oracle, PostgreSQL, SQL Server, MongoDB and Spanner database sources.
• Also supports selected application sources, although some remain in preview.
• Uses database logs or native change streams to capture changes.
• Supports BigQuery, Cloud Storage and Apache Iceberg tables as direct destinations.
• Provides private connectivity options for protected source databases.
• Integrates with other Google Cloud services for downstream processing and transformation.

Datastream’s main limitation is destination breadth. Delivering data directly to platforms such as Snowflake, Redshift or operational databases generally requires additional services or a different replication platform.

When to choose Datastream over AWS DMS

Choose Datastream when your data platform is centered on Google Cloud and your primary destination is BigQuery, Cloud Storage or Iceberg. AWS DMS is usually the more natural option for AWS-native migration targets, while Datastream is better aligned with GCP-native replication.

For a wider comparison, review the best CDC tools.

4. Oracle GoldenGate

Best for: Mission-critical Oracle workloads and complex enterprise replication.

Oracle GoldenGate is an enterprise data replication platform that captures committed changes from database transaction logs. It supports initial data loads, continuous CDC, database migrations and high-availability replication across heterogeneous systems.

Key capabilities

• Supports Oracle and selected non-Oracle databases, including PostgreSQL, MySQL, SQL Server and Db2.
• Provides unidirectional, bidirectional and active-active replication topologies.
• Preserves transaction order and integrity during replication.
• Supports filtering, routing and transformations.
• Available as self-managed software or through the fully managed OCI GoldenGate service.
• Can capture supported DML and DDL changes with minimal impact on source databases.

GoldenGate is powerful but can require specialized knowledge to configure Extract, Replicat, trail files, conflict handling and recovery. Licensing and operational costs may be difficult to justify for smaller or straightforward pipelines.

When to choose GoldenGate over AWS DMS

Choose GoldenGate for Oracle-heavy environments, active-active replication, strict availability requirements or complex heterogeneous database estates. AWS DMS may be simpler for standard AWS migrations, while GoldenGate provides greater control for advanced enterprise replication.

Compare more Oracle migration tools or explore Oracle GoldenGate alternatives.

5. Qlik Replicate

Best for: Large enterprises replicating data from legacy and heterogeneous systems.

Qlik Replicate is a commercial data replication platform that uses log-based CDC to capture source changes with limited impact on production databases. Replication tasks can perform a full load and then apply or store ongoing changes.

Key capabilities

• Supports enterprise databases including Oracle, Db2, SQL Server, PostgreSQL, MySQL and SAP HANA.
• Replicates data to cloud warehouses, databases, files and streaming targets.
• Supports full-load and continuous change-processing tasks.
• Can propagate supported DDL changes to compatible targets.
• Provides centralized task monitoring and error handling.
• Runs on supported Windows and Linux environments; available capabilities depend on the Qlik product and license.

Qlik does not publish standard pricing. Implementation can require specialized administration, particularly across legacy endpoints and complex enterprise environments.

When to choose Qlik Replicate over AWS DMS

Choose Qlik Replicate when you need broad support for legacy databases, mainframe environments or heterogeneous replication outside an AWS-centered architecture. AWS DMS may be simpler for standard AWS migrations.

See the direct AWS DMS vs. Qlik comparison or learn more about database replication strategies.

6. Fivetran

Best for: Managed ELT from databases and SaaS applications into cloud warehouses and data lakes.

Fivetran is a managed data integration service with more than 700 connectors. Its database connectors perform an initial historical sync followed by incremental updates. The available replication method depends on the source and can include log-based CDC, native change tracking or table-difference scanning.

Key capabilities

• Supports databases, SaaS applications, files, events and enterprise sources.
• Automatically handles many source schema and API changes.
• Provides managed monitoring, retries and connector maintenance.
• Supports SaaS and selected hybrid deployment models.
• Offers configurable sync frequencies; availability depends on the connector and pricing plan.
• Provides high-volume database connectors for supported enterprise CDC workloads.

Fivetran uses Monthly Active Rows (MAR) pricing. A row is generally counted once per month for each connection in which it is inserted, updated or deleted, regardless of how many times it changes that month. Costs can therefore vary with the number of active rows and connections.

When to choose Fivetran over AWS DMS

Choose Fivetran when you need low-maintenance ingestion from both databases and SaaS applications into an analytics platform. AWS DMS remains more focused on database migration and AWS-oriented replication.

Review the Estuary vs. Fivetran comparison or explore additional Fivetran alternatives.

7. Airbyte

Best for: Teams that want open-source extensibility and control over scheduled data replication.

Airbyte is a data replication platform with managed-cloud and self-managed options. Its connector catalog covers databases, APIs, files and applications, and teams can create additional connectors using no-code, low-code or programmatic tools.

Key capabilities

• Supports full-refresh and incremental synchronization modes.
• Provides log-based CDC for selected database connectors.
• Offers Airbyte Core for self-managed open-source deployments.
• Provides managed cloud and hybrid enterprise options.
• Supports configurable schedules, including cron and manual execution.
• Allows custom connector development and community contributions.

Airbyte CDC runs within synchronization jobs rather than as a continuously exposed event stream. CDC capabilities and recovery behavior vary by source connector. For most CDC sources, tables require primary keys, and operations such as TRUNCATE or ALTER may not appear as row-level change events.

When to choose Airbyte over AWS DMS

Choose Airbyte when connector extensibility, self-managed deployment or scheduled replication from databases and applications is more important than AWS-native migration features. AWS DMS may be a better fit for a focused AWS database migration.

See the Airbyte vs. Estuary comparison or evaluate additional Airbyte alternatives.

8. Striim

Best for: Enterprise CDC pipelines that require in-stream transformations, routing and real-time processing.

Striim is a commercial data integration and streaming platform. Its database CDC readers capture changes from transaction logs, while its processing layer can filter, enrich, aggregate and route events before delivery.

Key capabilities

• Supports log-based CDC for databases including Oracle, PostgreSQL, MySQL and SQL Server.
• Provides separate initial-load and continuous-replication workflows.
• Offers more than 100 database, messaging, cloud and application connectors.
• Supports streaming transformations through SQL.
• Includes pipeline monitoring, alerts and schema-evolution controls.
• Available as fully managed Striim Cloud or the self-managed Striim Platform.

Striim offers free evaluation options, but production pricing is generally quote-based or consumption-based. Its broad streaming functionality can also make implementation more complex than a focused database migration service.

When to choose Striim over AWS DMS

Choose Striim when you need to transform or analyze database changes while they are in motion, route the same stream to multiple targets, or deploy across AWS, Azure, Google Cloud and on-premises environments. AWS DMS may be simpler for straightforward AWS database migrations.

For additional options, compare the leading data streaming technologies or CDC tools.

AWS DMS Replacement Checklist

Before replacing an AWS DMS pipeline:

• Confirm source and destination compatibility.
• Document tables, filters, transformations and DMS task settings.
• Record current throughput, latency, failure rate and cost.
• Test the alternative with production-like data volume and schema changes.
• Run the new and existing pipelines in parallel.
• Validate row counts, deletes, updates and data types at the destination.
• Prepare a rollback plan before stopping the DMS task.
• Monitor replication lag and database-log retention after cutover.

For a detailed process, follow the AWS DMS-to-Estuary migration guide.

Conclusion: Choosing the Right AWS DMS Alternative

AWS DMS remains a practical option for AWS-focused database migrations and straightforward ongoing replication. An alternative becomes more relevant when you need multi-cloud delivery, reusable CDC streams, streaming transformations, broader connectors or less infrastructure management.

Choose based on the workload: Debezium for open-source event streaming, Datastream for GCP, GoldenGate or Qlik Replicate for complex enterprise replication, Fivetran or Airbyte for analytics ingestion, and Striim for in-stream processing.

For managed CDC with backfills, replay, transformations and multi-destination delivery, Estuary is a strong option. You can build a pipeline for free or validate the platform against an existing AWS DMS workload before migrating.