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Awesome List
A curated list of data engineering tools for software developers
GitHub stars and default-branch commits for igorbarinov/awesome-data-engineering.
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TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
The lightweight, fault-tolerant database built on SQLite. Designed to keep your data highly available with minimal effort.
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
Making Postgres and Elasticsearch work together like it's 2023
High-performance time-series aggregation for PostgreSQL
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Lightweight data stream processing engine for IoT edge
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Open-source backend for Kepler.gl. Self-hosted alternative to CARTO and Foursquare Studio.
An experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.
Scriptella is an open source ETL (Extract-Transform-Load) and script execution tool written in Java.
A lightweight Snowflake emulator built with Go and DuckDB for local development and testing
Turn CSV, Excel, and read-only databases into verified, editable business reports.
Free sample: 42-table synthetic business dataset with double-entry accounting. AdventureWorks alternative. CSV + SQL + Parquet + SQLite. AU tax compliance (ATO/GST).