Change Data Capture Migrations
AWS DMS full load plus ongoing replication keeps the target in sync with the live source, so the final cutover is a short, coordinated switch rather than a long outage window.
Database Technologies
AWS Database Migrations
Move Databases to AWS With a Tested Cutover Plan
Moving a database to AWS is rarely just a data copy. Our migration team plans and runs moves from on-premises systems and other clouds to Amazon RDS, Aurora, DynamoDB, and DocumentDB, keeping downtime short and data verified.
What We Deliver
Where We Make the Difference
The hard parts of a database migration are schema conversion, stored code, and the cutover window, not the copy itself. We assess every source database, convert what needs converting, rehearse the move, and validate the data before any production traffic reaches AWS.
Schema and Code Conversion
For moves such as Oracle to Aurora PostgreSQL, we use AWS SCT or DMS Schema Conversion, then hand-convert the stored procedures, triggers, and packages the tools cannot translate.
The Right AWS Target
We match each database to Amazon RDS, Aurora, DynamoDB, DocumentDB, or Redshift based on workload, compatibility, and cost, and consider Babelfish where SQL Server applications need minimal code change.
Verified Data, Not Assumed
DMS data validation, row counts, checksums, and business rule checks run on every migrated table, and your team reviews the results before cutover is approved.
Our Approach
How We Deliver AWS Database Migrations
Step 1: Inventory and Rank
We inventory source databases, measure conversion effort and risk for each, and group them into migration waves based on dependencies and business priority.
Step 2: Build the Landing Zone
We set up target databases, DMS replication instances, endpoints, networking, and IAM roles, with encryption and security groups in place before any data moves.
Step 3: Rehearse the Move
We run full-load and replication tests on real data volumes, tune DMS task settings, and time each step so the production cutover follows a proven script.
Step 4: Cut Over and Stabilize
We execute the cutover with a documented rollback path, watch performance closely afterward, and tune the new environment until it runs steadily.
How much downtime should we expect?
It depends on data volume, change rate, and how the application reconnects. With ongoing replication the outage is usually limited to the final switchover, and we measure it in rehearsal so the day holds no surprises.
Can you move us from Oracle or SQL Server to an open-source engine?
Yes. We convert schemas and stored code to Aurora PostgreSQL or MySQL and tell you up front which objects need manual rework. Some workloads are better kept on their original engine in RDS, and we will say so.
Which source databases can you migrate?
We migrate from Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and IBM Db2, whether they run on premises or in another cloud. We confirm support for your specific versions during the assessment.
What happens if something goes wrong at cutover?
Every cutover plan includes a tested rollback path. The source database stays intact until your team signs off on the migrated system.
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