head to head · open source
TiDB vs learn-agentic-ai
TiDB has 40,707 GitHub stars, 6,286 forks, 6,976 open issues and last shipped yesterday. learn-agentic-ai has 4,395 stars, 1,006 forks, 59 open issues and last shipped 1.0 years ago. TiDB leads on adoption by 826% (40,707 vs 4,395 stars). TiDB is written in Go under Apache-2.0; learn-agentic-ai is written in Jupyter Notebook under MIT. TiDB has attracted 15% as many forks as stars, learn-agentic-ai 23%. TiDB was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| TiDB | learn-agentic-ai | |
|---|---|---|
| GitHub stars | ★ 41K | ★ 4.4K |
| License | Apache-2.0 | MIT |
| Written in | Go | Jupyter Notebook |
| Last push | 2026-11-04 | 2025-10-26 |
| Forks | ⑂ 6.3K | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick TiDB if
- You weight community size — 41K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick learn-agentic-ai if
- You want the learn-agentic-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and learn-agentic-ai fits your workflow better
About TiDB
TiDB TiDB (/’taɪdiːbi:/, "Ti" stands for Titanium) is an open source, cloud native, distributed SQL database designed for high availability, horizontal and vertical scalability, strong consistency, and high performance. Key Features Quick Start Need Help? Architecture Contributing License See Also Acknowledgments Key Features Distributed Transactions : TiDB uses a two phase commit protocol to ensure ACID compliance, providing strong consistency. Transactions span multiple nodes, and TiDB's distributed nature ensures data correctness even in the presence of network partitions or node failures. Horizontal and…
About learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: From Start to Scale This repo is part of the Panaversity Certified Agentic & Robotic AI Engineer program. You can also review the certification and course details in the program guide. This repo provides learning material for Agentic AI and Cloud courses. Here’s a polished, professional rewrite you can use as a one pager or slide—tight on wording, clear on stakes, and just a touch playful so it doesn’t read like it was written by a committee (no offense to committees 😄). Our Agentic Strategy for Pakistan: Four Working Hypotheses Pakistan…
read the full learn-agentic-ai overview →
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Frequently asked questions
Is TiDB or learn-agentic-ai more popular?
TiDB has 40,707 GitHub stars and learn-agentic-ai has 4,395. TiDB has the larger community by that measure.
Are TiDB and learn-agentic-ai free?
Both are open source. TiDB is licensed under Apache-2.0 and learn-agentic-ai under MIT. Neither carries a licence fee.
What is the difference between TiDB and learn-agentic-ai?
TiDB is written in Go and learn-agentic-ai in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, TiDB or learn-agentic-ai?
Choose TiDB if you want the larger community (40,707 stars) or its Apache-2.0 licence terms. Choose learn-agentic-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.