I built an open-source data pipeline tool in Go
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows. Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, i.
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I built a local data lake for AI powered data engineering and analytics
stream-sock-3f5.notion.siteI got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
PipeRider
github.comopen-source Data Impact Analysis for dbt changes
A Database Written in Golang
github.comAn persistent relational database built in Go.
DBOS transact
github.comUltra-lightweight durable execution in Python