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Awesome Data Engineering
A curated list of data engineering tools for software developers
igorbarinov/awesome-data-engineering
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pingcap/tidb
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.
AI dev
Stack
GitHub topics
- Updated
- 2026-10-16
- Lists
- 4 list mentions
- First commit
- 2015-09-06
- License
- Apache-2.0
- Issues
- 7,367 open
40,645
stars
- Forks
- 6,266
- Commits
- 28,736 commits
- Star growth, last 7 days
- 0 0.0%
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- 0 0.0%
rqlite/rqlite
The lightweight, fault-tolerant database built on SQLite. Designed to keep your data highly available with minimal effort.
AI dev
Stack
- Updated
- 2026-10-15
- Lists
- 4 list mentions
- First commit
- 2014-08-23
- License
- MIT
- Issues
- 65 open
17,794
stars
- Forks
- 818
- Commits
- 8,689 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
hstreamdb/hstream
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Stack
- Updated
- 2024-12-26
- Lists
- 1 list mention
- First commit
- 2020-09-01
- License
- BSD-3-Clause
- Issues
- 11 open
723
stars
- Forks
- 55
- Commits
- 1,726 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%