DBConvert Streams icon
DBConvert Streams icon

DBConvert Streams

DBConvert Streams is a tool for working with data across databases and files in one place.

Explore tables and run SQL across multiple databases in one unified interface.

Cost / License

  • Freemium (Subscription)
  • Proprietary

Application type

Platforms

  • Self-Hosted  Self-hosted. Runs locally or on your own server with no cloud dependency.
  • Docker  Available as a Docker container for easy deployment on local machines or VPS.
  • Windows  Native desktop app available for Windows.
  • Linux  Native desktop app available for Linux or via Docker.
  • Mac  Native desktop app available for macOS.
Run a single SQL query across PostgreSQL and MySQL and compare results side by side.
Turn a cross-database query into a reusable data pipeline with preview before running.
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Visualize database schemas and relationships with an interactive ER diagram.
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Features

Properties

  1.  Lightweight

Features

  1.  Import CSV Data
  2.  No registration required
  3.  Ad-free
  4.  Dark Mode
  5.  Autocompletion
  6.  Database Management Tool
  7.  Database migration

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Grist

Transform data with an open-source interface using relational databases and Python engines. Collaborate in real-time with custom permissions for security.

 
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DBConvert Streams information

  • Developed by

    SK flagDBConvert

  • Licensing

    Proprietary and Freemium product.

  • Pricing

    Subscription ranging between $49 and $399 per month + free version with limited functionality.

  • Alternatives

    12 alternatives listed

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  • Supported Languages

    • English

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What is DBConvert Streams?

DBConvert Streams is a tool for working with data across databases and files in one place.

Most setups today look like this: you query data in one tool, migrate it with another, and try to keep things in sync with something else. Once files get involved (CSV, JSON, Parquet), it gets even more fragmented.

DBConvert Streams combines these steps into a single workflow:

  • query and explore data across databases and files
  • move data between systems (database ? database, database ? files, etc.)
  • keep data in sync using change data capture (CDC)
  • reuse the same logic instead of rebuilding queries and scripts

It supports common setups like:

MySQL ? PostgreSQL migrations exporting data to Parquet / JSON / CSV syncing databases in real time querying across multiple sources in one place

The goal is simple: explore data, move it, and keep it in sync — without switching between tools or writing custom scripts for every step.

Runs as a desktop app (Windows, macOS, Linux) or via Docker — locally, on a VPS, or on your own server.