head to head · open source

shardingsphere vs sycamore

shardingsphere has 20,800 GitHub stars, 6,901 forks, 197 open issues and last shipped today. sycamore has 608 stars, 72 forks, 57 open issues and last shipped 2 months ago. shardingsphere leads on adoption by 3,321% (20,800 vs 608 stars). shardingsphere is written in Java under Apache-2.0; sycamore is written in Python under Apache-2.0. shardingsphere has attracted 33% as many forks as stars, sycamore 12%. shardingsphere 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.

shardingsphere ★ 21K sycamore ★ 608 category Data & Analytics

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Side by side

shardingsphere sycamore
GitHub stars ★ 21K ★ 608
License Apache-2.0 Apache-2.0
Written in Java Python
Last push 2026-09-18 2026-08-01
Forks ⑂ 6.9K ⑂ 72
Self-hosting Yes Yes
Data ownership Your server Your server

pick shardingsphere if

  • You weight community size — 21K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Java
  • You value the larger contributor base for long-term maintenance

full shardingsphere profile →

pick sycamore if

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

full sycamore profile →

About shardingsphere

Apache ShardingSphere is an Apache 2.0 licensed, Java based distributed database ecosystem positioned as Database Plus — a standards and enhancement layer that sits above heterogeneous databases so applications can connect to, govern, and compute across them as if they were one database, aimed at enterprise data architects and developers running sharded, multi database estates.

read the full shardingsphere overview →

About sycamore

Sycamore is an open source, AI powered document processing engine for ETL, RAG, LLM based applications, and analytics on unstructured data. Sycamore can partition and enrich a wide range of document types including reports, presentations, transcripts, manuals, and more. It can analyze and chunk complex documents such as PDFs and images with embedded tables, figures, graphs, and other infographics. Check out an example notebook. For processing documents, Sycamore leverages Aryn DocParse (formerly known as the Aryn Partitioning Service), a serverless, GPU powered API for segmenting and labeling documents, doing OCR…

read the full sycamore overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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Frequently asked questions

Is shardingsphere or sycamore more popular?

shardingsphere has 20,800 GitHub stars and sycamore has 608. shardingsphere has the larger community by that measure.

Are shardingsphere and sycamore free?

Both are open source. shardingsphere is licensed under Apache-2.0 and sycamore under Apache-2.0. Neither carries a licence fee.

What is the difference between shardingsphere and sycamore?

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

Which should I choose, shardingsphere or sycamore?

Choose shardingsphere if you want the larger community (20,800 stars) or its Apache-2.0 licence terms. Choose sycamore if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.