head to head · open source
CloudQuery vs docetl
CloudQuery has 6,550 GitHub stars, 567 forks, 166 open issues and last shipped 2 days ago. docetl has 4,195 stars, 463 forks, 45 open issues and last shipped 6 days ago. CloudQuery leads on adoption by 56% (6,550 vs 4,195 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.
← all 20902 open source comparisons
Side by side
| CloudQuery | docetl | |
|---|---|---|
| GitHub stars | ★ 6.5K | ★ 4.2K |
| License | MPL-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-03 | 2026-10-30 |
| Forks | ⑂ 567 | ⑂ 463 |
| 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
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
About CloudQuery
CloudOps, without the chaos CloudQuery is a cloud asset inventory built for platform teams. Sync your cloud infrastructure metadata into your data warehouse, powering insights and automation. Unify data and provide context across AWS, Azure, GCP, and 70+ cloud and SaaS sources such as Wiz, Finout, and GitHub. Installation Check out the quickstart guide for install guides for Linux and Windows and for step by step instructions on completing your first sync with CloudQuery. Why CloudQuery? Specialized plugin coverage Support for cloud infrastructure, security, and FinOps sources with normalization, rate limit…
read the full CloudQuery overview →
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 →
More in Data & Analytics
Related comparisons
More Data Engineering & Integration projects
Compare either of these against the rest of the Data Engineering & Integration field.
Frequently asked questions
Is CloudQuery or docetl more popular?
CloudQuery has 6,550 GitHub stars and docetl has 4,195. 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 (6,550 stars) or its MPL-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.