head to head · open source

PageIndex vs arcadedb

PageIndex has 39,973 GitHub stars, 3,442 forks, 103 open issues and last shipped 2 days ago. arcadedb has 1,233 stars, 164 forks, 167 open issues and last shipped yesterday. PageIndex leads on adoption by 3,142% (39,973 vs 1,233 stars). PageIndex is written in Python under MIT; arcadedb is written in Java under Apache-2.0. PageIndex has attracted 9% as many forks as stars, arcadedb 13%. arcadedb 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.

PageIndex ★ 40K arcadedb ★ 1.2K category AI & Machine Learning

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Side by side

PageIndex arcadedb
GitHub stars ★ 40K ★ 1.2K
License MIT Apache-2.0
Written in Python Java
Last push 2026-11-03 2026-11-04
Forks ⑂ 3.4K ⑂ 164
Self-hosting Yes Yes
Data ownership Your server Your server

pick PageIndex if

  • You weight community size — 40K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full PageIndex profile →

pick arcadedb if

  • You want the arcadedb feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and arcadedb fits your workflow better

full arcadedb profile →

About PageIndex

PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…

read the full PageIndex overview →

About arcadedb

Multi Model DBMS Built for Extreme Performance ArcadeDB is a Multi Model DBMS created by Luca Garulli, the same founder of OrientDB, after SAP's acquisition. Written from scratch with a brand new engine made of Alien Technology, ArcadeDB is able to crunch millions of records per second on common hardware with minimal resource usage. ArcadeDB reuses OrientDB's SQL engine (heavily modified) and some utility classes. It's written in LLJ: Low Level Java still Java21+ but only using low level APIs to leverage advanced mechanical sympathy techniques and reduce Garbage Collector pressure. Highly optimized for extreme…

read the full arcadedb overview →

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Frequently asked questions

Is PageIndex or arcadedb more popular?

PageIndex has 39,973 GitHub stars and arcadedb has 1,233. PageIndex has the larger community by that measure.

Are PageIndex and arcadedb free?

Both are open source. PageIndex is licensed under MIT and arcadedb under Apache-2.0. Neither carries a licence fee.

What is the difference between PageIndex and arcadedb?

PageIndex is written in Python and arcadedb in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, PageIndex or arcadedb?

Choose PageIndex if you want the larger community (39,973 stars) or its MIT licence terms. Choose arcadedb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.