head to head · open source

CloudQuery vs docetl

CloudQuery has 6,521 GitHub stars, 558 forks, 166 open issues and last shipped 2 days ago. docetl has 4,101 stars, 443 forks, 45 open issues and last shipped 15 days ago. CloudQuery leads on adoption by 59% (6,521 vs 4,101 stars). CloudQuery is written in Go under MPL-2.0; docetl is written in Python under MIT. CloudQuery has attracted 9% as many forks as stars, docetl 11%. CloudQuery was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data, elt), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

CloudQuery ★ 6.5K docetl ★ 4.1K category Data & Analytics

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Side by side

CloudQuery docetl
GitHub stars ★ 6.5K ★ 4.1K
License MPL-2.0 MIT
Written in Go Python
Last push 2026-09-18 2026-09-05
Forks ⑂ 558 ⑂ 443
Self-hosting Yes Yes
Data ownership Your server Your server

pick CloudQuery if

  • You weight community size — 6.5K stars and counting
  • You want the MPL-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full CloudQuery 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 CloudQuery

CloudQuery is an open source, Go based cloud asset inventory and ELT tool, licensed under MPL 2.0, that syncs metadata from AWS, Azure, GCP, and more than 70 cloud and SaaS sources into a data warehouse so platform, security, and FinOps teams can query it with SQL.

read the full CloudQuery overview →

About docetl

DocETL is a Python system for agentic LLM powered data processing and ETL. It lives in the data engineering and document processing ecosystem, where pipelines must turn structured records and unstructured documents into queryable tables. Users describe each operation in natural language, and DocETL provides operators such as map, reduce, and filter, then orchestrates them across the data.

read the full docetl overview →

More in Data & Analytics

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Frequently asked questions

Is CloudQuery or docetl more popular?

CloudQuery has 6,521 GitHub stars and docetl has 4,101. CloudQuery has the larger community by that measure.

Are CloudQuery and docetl free?

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

What is the difference between CloudQuery and docetl?

CloudQuery is written in Go 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, CloudQuery or docetl?

Choose CloudQuery if you want the larger community (6,521 stars) or its MPL-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.