DBConvert Streams brings database exploration, SQL, migration, and change-data-capture (CDC) streaming into one product. It supports one-time Load migrations and ongoing replication, using MySQL binlogs and PostgreSQL logical replication for CDC. Connectors include MySQL, PostgreSQL, Snowflake, local files, S3-compatible storage, and federated queries. Embedded DuckDB lets a single SQL statement join databases with file or object-storage sources. Local-file workflows handle CSV, JSON, JSONL, and Parquet. The built-in AI assistant and MCP tools can inspect live workspace data; MCP operations are read-only. The product also offers more than 80 REST endpoints, an OpenAPI 3.0 specification, and WebSocket language servers. It runs as a Windows, macOS, or Linux desktop app, or in Docker on a server, VPS, bare metal, or cloud VM. CDC does not require Kafka, Zookeeper, or Kubernetes. The free plan includes the IDE and queries across two sources; paid options include PRO at 9.00 USD per month and CDC at 99.00 USD per month.
Who it is for
It suits developers, DBAs, and small teams working mainly with MySQL and PostgreSQL who want self-hosted exploration, migration, and CDC. Teams can choose a desktop or Docker deployment.
What is good
- Combines SQL exploration with migration and CDC.
- Federated SQL joins databases and file sources.
- Supports MySQL binlog and PostgreSQL logical replication.
- Offers desktop and Docker deployment options.
What to know first
- CDC trial is limited to seven days and three tables.
- Free federated queries cover up to two sources.
- CDC costs 99.00 USD per month.
Verdict
DBConvert Streams covers exploration, migration, and CDC, with both desktop and server deployment options. Check the CDC trial limits and plan terms against the workflows you need.
DBConvert Streams plans and pricing
All plansCompared on database replication software
- Free plan
- Yes
- Change data capture
- Yes
- Replication direction
- two-way
- Deployment options
- self-hosted
- Supported databases
- MySQL, PostgreSQL, Snowflake
- Data transformations
- Yes
