Comparison

DBConvert Streams vs Stitch

Direct database replication vs warehouse-first ELT

Warehouse loading vs operational sync.

Stitch logo

Stitch

Managed ELT service

ELTWarehouse
DBConvert Streams logo

DBConvert Streams

Continuous database replication

CDCDB to DB
TL;DR

Best choice by use case

Use case
Winner
Simple warehouse loading
Stitch
Self-hosted CDC and migration
DBConvert Streams
Database IDE with replication
DBConvert Streams

From warehouse loading to operational sync

Loading a warehouse is not the same as keeping systems in sync.

DBConvert Streams stays closer to the operational workflow:

One self-hosted workflow instead of a cloud ETL path built around warehouse loading.

Operational path

  1. 1Work from live database data
  2. 2Validate before cutover
  3. 3Move data directly between systems
  4. 4Keep targets current beyond batch loads

Workflow

Operational sync instead of warehouse-first loading.

Warehouse loading vs operational sync.

Feature Comparison

Short comparison table

Feature
Stitch
DBConvert Streams
CDC
Incremental sync and CDC in a cloud ETL context.
Continuous database CDC in a self-hosted context.
IDE
No database IDE.
Built-in SQL, exploration, and validation.
Schema conversion
Mostly warehouse mapping.
Explicit migration and schema comparison workflow.
Connectors
Broader source catalog, including SaaS.
Smaller database and file-focused set.
Automation API
Cloud ETL API centered on extraction jobs and warehouse loading.
One REST API for streams, exploration, federated SQL, and file/S3 operations.
Validation & monitoring
Cloud job status is available, but compare workflows and cutover validation are not the main product story.
Compare views, live stream monitor, SQL audit, and run history are built into the database workflow.
Deployment
Managed cloud ETL service.
Desktop app + Docker self-hosting.

Next step

See the DBConvert CDC workflow

These comparison pages explain the trade-offs. The product page shows how DBConvert Streams handles MySQL and PostgreSQL CDC, direct targets, and no-Kafka replication in one self-hosted workflow.

FAQ

Common questions about Stitch and DBConvert Streams

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.

Related

Keep comparing

See the main comparison hub and a few nearby decisions in the same buying path.

Plan your CDC rollout

If the decision comes down to direct replication, source-log setup, and no-Kafka CDC, start with the DBConvert CDC page and then review pricing for production rollout.