head to head · open source

shardingsphere vs docetl

shardingsphere has 20,817 GitHub stars, 6,906 forks, 197 open issues and last shipped yesterday. docetl has 4,189 stars, 460 forks, 45 open issues and last shipped 4 days ago. shardingsphere leads on adoption by 397% (20,817 vs 4,189 stars). shardingsphere is written in Java under Apache-2.0; docetl is written in Python under MIT. shardingsphere has attracted 33% as many forks as stars, docetl 11%. 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 docetl ★ 4.2K category Data & Analytics

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Side by side

shardingsphere docetl
GitHub stars ★ 21K ★ 4.2K
License Apache-2.0 MIT
Written in Java Python
Last push 2026-11-02 2026-10-30
Forks ⑂ 6.9K ⑂ 460
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 docetl if

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

full docetl profile →

About shardingsphere

Apache ShardingSphere Enterprise Distributed Database Ecosystem Building the standards and ecosystem on top of heterogeneous databases, empowering enterprise data architecture transformation Official Website: OVERVIEW Apache ShardingSphere is positioned as Database Plus , a standard and ecosystem built on top of heterogeneous databases. As an operating system layer above databases, ShardingSphere does not create new databases but focuses on maximizing the computing capabilities of existing databases, providing unified data access and enhanced computing capabilities. Database Plus Core Concept : By building a…

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About docetl

DocETL: Declarative & Agentic Map Reduce What is DocETL · Install · Python API · YAML · DocWrangler UI · Docs What is DocETL DocETL helps you process large collections of data (structured and unstructured) with LLMs. You write each operation in natural language, e.g., "pull out every complaint in this ticket," and DocETL provides the operators you need (map, reduce, filter, and more) and orchestrates them, parallelizing work across your data, optimizes your pipeline automatically, swapping models, rewriting prompts, decomposing operations, and replacing subtasks with code wherever possible, to raise accuracy and…

read the full docetl overview →

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Frequently asked questions

Is shardingsphere or docetl more popular?

shardingsphere has 20,817 GitHub stars and docetl has 4,189. shardingsphere has the larger community by that measure.

Are shardingsphere and docetl free?

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

What is the difference between shardingsphere and docetl?

shardingsphere is written in Java and docetl 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 docetl?

Choose shardingsphere if you want the larger community (20,817 stars) or its Apache-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.