DBConvert Streams vs Bytebase
DBConvert Streams is a data migration and CDC replication tool for MySQL ↔ PostgreSQL. Different jobs, small overlap.
Bytebase is a database DevOps platform for schema change management — version-controlled DDL, review workflows, and CI/CD.
Quick answer
Choose by job
Choose DBConvert Streams if
- You need schema-aware migration between MySQL and PostgreSQL.
- You need continuous CDC replication after migration.
- You need federated SQL across databases, files, and S3.
- You want to move real data, compare what landed, monitor the run, then turn on CDC from the same workspace.
Choose Bytebase if
- The team needs DDL change management with review and approval workflows.
- You want Git-style schema migrations across environments (dev/staging/prod).
- Drift detection and SQL review policies matter.
- The job is governing schema changes inside an application database, not moving the database.
At a glance
Side-by-side facts
AI and MCP
The AI difference
DBConvert Streams
DBConvert chooses a stricter agent boundary: AI can inspect data, compare results, and diagnose streams, but MCP cannot perform database or product mutations.
Explore DBConvert AI and MCPBytebase
Bytebase combines schema-aware AI Assistant, a Page Agent that can drive console workflows, and MCP access governed by identity, masking, approvals, and audit.
What to know: MCP inherits the connected user’s permissions, including write/admin capabilities. It is governance-first access, not a universal read-only boundary.
Where DBConvert Streams goes further
Move the database, not just its DDL
Schema-aware MySQL ↔ PostgreSQL migration with type mapping, resumable load, and validation. Bytebase manages changes inside a database; it does not move data between engines.
Replicate continuously after the move
Log-based CDC keeps the target aligned. Bytebase has no replication runtime at all.
Query across databases, files, and S3 in one statement
Federated SQL is part of the same IDE — no policy gates, no platform around it.
Where Bytebase wins
Govern DDL changes like code
Review-and-approve pipelines, version control, and environment promotion (dev → staging → prod) for schema changes across many engines.
Catch schema drift across environments
Drift detection, SQL review policies, change history, and audit log — operational change management for an application database.
Plug into the existing CI stack
GitHub, GitLab, and CI runner integrations make DDL part of the delivery pipeline.
See it on your own databases — self-hosted, free evaluation, no credit card.
Workflow
Migrate an application database to another engine while Bytebase keeps governing its DDL
- 1Connect source and target and review the schema diff with type mapping.
- 2Run the resumable Load-mode migration.
- 3Compare row counts and sample content before cutover.
- 4Turn on log-based CDC to keep both sides aligned until the switch.
Bytebase governs ongoing DDL changes. DBConvert moves and synchronizes data. Different problems, different products.
FAQ
Frequently asked questions
Can DBConvert Streams replace Bytebase?
No. They solve different problems. Bytebase manages how DDL changes get applied to a database through review pipelines and CI/CD. DBConvert migrates and replicates data between databases.
Does DBConvert have DDL change management or review workflows?
No. There is no PR-style review, no environment promotion, no drift detection across environments. That is Bytebase territory.
Can the two be used together?
Yes — they target different parts of the lifecycle. Use Bytebase to govern schema changes for an application database; use DBConvert when you need to migrate that database to a different engine or replicate it elsewhere with CDC.
What about Bytebase as a SQL editor?
Bytebase ships an SQL editor as part of the platform, gated by review policies. DBConvert ships a free IDE for daily SQL on MySQL and PostgreSQL, plus federated SQL across files and S3 — different focus, no policy gates.
Both have schema diff. Are they the same?
No. Bytebase compares schema state between environments to detect drift. DBConvert compares source and target schema during migration to plan type mapping and validate the move. Same name, different purpose.
When does each clearly win?
Bytebase wins when the team needs Git-style governance of DDL changes across environments. DBConvert wins when the job is migrating a database between MySQL and PostgreSQL or running continuous CDC.