AWS SCT Converts Schemas. DBConvert Streams Moves the Data.

DBConvert Streams is an end-to-end MySQL ↔ PostgreSQL migration, validation, and CDC product.

AWS Schema Conversion Tool is a free Amazon desktop tool that converts schemas and application code between engines but does not move data — that step is delegated to AWS DMS.

Try migration with data movement and CDC

DBConvert Streams, running

PostgreSQL → MySQL · 16 tables · live rows, rates, and per-table progress

Quick answer

Choose by job

Choose DBConvert Streams if

  • The migration is MySQL ↔ PostgreSQL.
  • You want schema, data, validation, and CDC in one product without splitting tools.
  • The target is self-hosted, not AWS-managed.
  • You need continuous CDC after the migration.

Choose AWS Schema Conversion Tool if

  • The migration is Oracle or MSSQL into AWS PostgreSQL, Aurora, or Redshift.
  • You need stored-procedure and procedural-code conversion.
  • You want a free assessment report before committing to a project.
  • You will pair it with AWS DMS for the data move.

At a glance

Side-by-side facts

Aspect
DBConvert Streams
AWS Schema Conversion Tool
License and price
Free IDE tier. Paid migration and CDC runs.
Free (proprietary AWS tool)
Source engines
MySQL, PostgreSQL
Oracle, MSSQL, MySQL, PostgreSQL, DB2, Sybase, others
Target engines
MySQL, PostgreSQL, files, S3
AWS RDS PostgreSQL, Aurora, MySQL, Redshift, others
Schema conversion
Yes, with type mapping and overrides
Yes, with assessment report
Stored-procedure / code conversion
No
Yes, including PL/SQL → PL/pgSQL
Data movement
Built-in resumable migration runtime
No (delegated to AWS DMS)
Continuous CDC
Built-in log-based CDC
No (DMS handles CDC separately)
Self-hosted / on-prem targets
Self-hosted, any MySQL or PostgreSQL target
AWS-target oriented
Deployment
Desktop app + Docker self-hosting
Free desktop app for Windows, macOS, Linux

AI and MCP

The AI difference

DBConvert Streams

DBConvert keeps AI inside the migration workspace and carries context from schema conversion through data validation and post-migration CDC.

Explore DBConvert AI and MCP

AWS Schema Conversion Tool

AWS Schema Conversion Tool remains a desktop assessment and rule-based schema and application-SQL conversion tool.

What to know: AWS documents generative AI and agent/MCP workflows under DMS Schema Conversion, which AWS treats as distinct from AWS SCT.

Where DBConvert Streams goes further

Run the whole migration in one product

Schema conversion, resumable data load, validation, and CDC in one workflow — instead of splitting the job between SCT, DMS, and separate validation tooling.

Actually move the data

SCT converts schema and code only; the data move belongs to AWS DMS. DBConvert ships its own resumable migration runtime with parallel writes.

Target any MySQL or PostgreSQL, not just AWS

RDS, Aurora, self-hosted, on-prem, or another cloud. SCT is AWS-target oriented by design.

Continue with CDC after the cutover

Log-based binlog/WAL replication keeps source and target aligned after the load — no separate CDC tool to configure.

Where AWS Schema Conversion Tool wins

Convert Oracle and MSSQL workloads into AWS targets for free

Analyzes and converts schemas, views, and application SQL from a wide engine matrix into RDS PostgreSQL, Aurora, or Redshift — with no license cost.

Note — For commercial GUI-based Oracle or SQL Server migration to PostgreSQL outside an AWS-only toolchain, DBConvert provides dedicated schema-and-data migration and synchronization products. Stored-procedure rewriting remains outside DBConvert.

Explore DBConvert PostgreSQL migration tools

Rewrite procedural code, not just schemas

PL/SQL → PL/pgSQL conversion with manual fixup. DBConvert does not rewrite stored procedures at all.

Scope the project before committing

Assessment reports quantify object counts and conversion complexity up front — the standard first step for Oracle/MSSQL-to-AWS programs.

See it on your own databases — self-hosted, free evaluation, no credit card.

Download DBConvert Streams Try migration with data movement and CDC

Workflow

Migrate MySQL ↔ PostgreSQL end to end without an SCT-plus-DMS toolchain

  1. 1Convert the schema with type mapping and overrides.
  2. 2Run the resumable data migration.
  3. 3Validate counts and schemas before cutover.
  4. 4Continue with log-based CDC replication.

One product instead of SCT plus DMS plus separate validation tooling.

FAQ

Frequently asked questions

Can DBConvert Streams replace AWS SCT?

For MySQL ↔ PostgreSQL schema and data migration, yes — in one product. For Oracle, MSSQL, DB2, or stored-procedure rewriting into AWS targets, no — that is SCT territory.

Does SCT move data?

No. SCT converts schema and application code and produces an assessment report. The actual data move is done by AWS DMS, which is a separate tool.

What about stored procedures, triggers, PL/SQL?

SCT converts procedural code (e.g. PL/SQL → PL/pgSQL) with manual fixup. DBConvert does not rewrite stored procedures — it focuses on schema, data, and CDC.

Is DBConvert AWS-only?

No. Targets can be any MySQL or PostgreSQL instance — RDS, Aurora, self-hosted, on-prem, or another cloud. SCT is AWS-target oriented by design.

Pricing?

SCT itself is free; AWS DMS for the data move is metered. DBConvert has a free IDE tier and paid migration and CDC runs without a separate cloud-runtime bill.

Why pair them rather than replace?

For Oracle or MSSQL migrations into AWS, SCT plus DMS is the standard path. DBConvert fits when the engines are MySQL and PostgreSQL and the team wants one product end-to-end.

Ready to try DBConvert Streams?

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