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I got tired of juggling 4 tools for data work – built one instead

I got tired of juggling 4 tools for data work – built one instead

by slotix·Apr 8, 2026·4 points·1 comment
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AI Analysis

●●SolidSolve My ProblemSlick

Join Parquet files with live PostgreSQL tables directly — no export or extra tooling needed.

Strengths
  • •Cross-source SQL eliminates the need to export data before querying multiple sources.
  • •CDC replication captures INSERT, UPDATE, DELETE with pause/resume lifecycle tracking.
  • •Self-hosted Docker deployment with free IDE tier and pay-as-you-go streams.
Weaknesses
  • •Data pipeline space is well-funded with Airbyte, Debezium, and Fivetran dominance.
  • •Snowflake connector listed as coming soon — key enterprise source still missing.
Category
Data
Target Audience

Data engineers, backend developers

Similar To

Airbyte · Debezium · DBeaver

Post Description

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.

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