Every data workflow I touched had the same shape:

- explore schema in one tool - write and test queries in another - run the migration separately - set up CDC sync somewhere else

Each tool does its job fine. But the switching, glue scripts, and "wait, which connection config was this?" start to add up.

So I built DBConvert Streams 2.0, a self-hosted tool that keeps the whole workflow in one place:

explore -> verify -> migrate -> keep in sync

What it does:

- connect to PostgreSQL, MySQL, CSV/JSON/Parquet, S3-compatible storage - browse schemas and data - run SQL queries (including across different sources) - run one-time migrations or continuous CDC sync

The cross-source SQL part was the main thing I personally kept missing - usually this required exporting data or setting up extra tooling.

Tools like Debezium and Airbyte solve the pipeline side well, but I still ended up switching to other tools to explore and query data before or during the move.

Runs as a desktop app (Windows, macOS, Linux) or via Docker.