DBConvert Streams vs Stitch
DBConvert Streams is a self-hosted migration and CDC tool for keeping operational databases in sync, with a built-in IDE.
Stitch is a simple cloud ETL service focused on loading SaaS and database data into a warehouse.
DBConvert Streams, running
Quick answer
Choose by job
Choose DBConvert Streams if
- You need migration, validation, and CDC in one place.
- You want self-hosted control.
- You need to inspect and query live databases during the workflow.
Choose Stitch if
- You mainly want a simple cloud ETL service.
- Warehouse loading is the main workload.
- You need SaaS connectors more than database tooling.
At a glance
Side-by-side facts
AI and MCP
The AI difference
DBConvert Streams
DBConvert adds a conversational investigation layer to self-hosted data movement, so engineers can inspect sources, validate transfers, and diagnose streams in one workspace.
Explore DBConvert AI and MCPStitch
No documented AI or MCP features.
Where DBConvert Streams goes further
Keep operational systems in sync, not just a warehouse fed
CDC reads the binlog or WAL continuously and applies changes to live MySQL/PostgreSQL targets, with checkpoints advancing only after the target acknowledges the write.
Keep credentials and data inside your environment
Desktop or Docker in your infrastructure. With Stitch, data passes through the vendor cloud by design.
Work with live data during the migration
Built-in SQL, exploration, schema comparison, and validation — Stitch assumes a separate client for all of that.
Pay per run, not per row
Free IDE tier plus paid migration and CDC runs tied to the local install — no row-based metering.
Where Stitch wins
Start loading a warehouse in minutes
A straightforward managed service for teams whose workflow starts and ends with getting data into a warehouse.
Pull from SaaS apps, not just databases
Salesforce, Stripe, and a broad SaaS connector catalog — DBConvert has no SaaS connectors at all.
Zero infrastructure to operate
SaaS only: no hosts, no containers, no upgrades on your side.
See it on your own databases — self-hosted, free evaluation, no credit card.
Workflow
Sync two operational databases without routing them through a warehouse
- 1Work from live database data in the Data Explorer.
- 2Validate schemas and content before cutover.
- 3Move data directly between systems with a Load-mode stream.
- 4Keep targets current with continuous CDC, beyond batch loads.
Operational sync instead of warehouse-first loading.
FAQ
Frequently asked questions
Can DBConvert Streams replace Stitch?
Only when the job is database-to-database (or database-to-file/S3), not warehouse loading from SaaS sources. Stitch's strength is its SaaS connector catalog (Salesforce, Stripe, and similar); DBConvert has no SaaS connectors. For PostgreSQL or MySQL CDC and migration between operational systems, yes.
Does DBConvert Streams load data into Snowflake, BigQuery, or Redshift?
No. Targets are databases (PostgreSQL, MySQL), files (CSV, JSONL, Parquet), and S3-compatible object storage. Warehouse loading is Stitch territory.
Is Stitch's CDC the same as DBConvert's?
Different model. Stitch does scheduled incremental syncs into a warehouse, typically minutes to hours apart. DBConvert reads the binlog or WAL continuously and applies changes to operational targets, with checkpoints advancing only after the target acknowledges the write.
Self-hosted vs cloud — what changes?
Stitch is SaaS only; data passes through the vendor cloud. DBConvert runs in your environment (desktop or Docker), so source credentials and data never leave it.
How does pricing differ?
Stitch uses row-based metered SaaS pricing. DBConvert has a free IDE tier and paid migration and CDC runs tied to the local install — no per-row metering.
If we already use Stitch for warehouse loading, where is the overlap?
Almost none. Use Stitch for warehouse ingest from SaaS apps; use DBConvert for operational sync between PostgreSQL and MySQL systems. They sit on different parts of the stack.
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