Head-to-head · Data Lake Software
Cloudera Data Lake Service vs lakeFS
Cloudera Data Lake Service leads on 0 checks, lakeFS on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreCloudera Data Lake Service · 9.1/10
- Free planonly lakeFS
- Free trialonly lakeFS
Cloudera Data Lake Service scores higher on our rubric for data lake software: 9.1 against 8.5 out of 10; our editors rank them #2 and #6.
Cloudera Data Lake Service is the better fit for enterprise hybrid data lakes. lakeFS is the better fit for versioned, governed data lakes.
- Cloudera Data Lake Service fits best
Enterprise hybrid data lakes
- lakeFS fits best
Versioned, governed data lakes
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Side by side
| Feature | Cloudera Data Lake Service 9.1/10 Visit ↗ | lakeFS 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.5 |
| Ranking | #2 in Data Lake Software | #6 in Data Lake Software |
| Best for | Enterprise hybrid data lakes | Versioned, governed data lakes |
| Pricing model | Paid | Free plan + paid |
| Starting price | Pricing on request | — |
| Free plan | Not checked yet | ✓ (best) |
| Free trial | — | 15 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Tickets, Community, Docs · 24/7 | Community, Docs |
| Integrations | 7 integrations | 20 integrations |
| Built for | Enterprise | Mid-market, Enterprise |
| Features Cloudera Data Lake Service 4/4 · lakeFS 4/4 | ||
| Metadata catalog | ✓ | ✓ |
| Governance controls | ✓ | ✓ |
| Open table formats | ✓ | ✓ |
| Data sharing | ✓ | ✓ |
| Specs | ||
| Deployment model | Hybrid | Hybrid |
| Ingestion modes | Both | Not checked yet |
| Query interface | Both | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Cloudera Data Lake Service provides governed data-lake capabilities for enterprise environments spanning cloud and on-premises deployments. It manages schemas and metadata, supports cataloging and search, applies role- and attribute-based… Read the review → |
lakeFS is an open-source and commercial data version-control platform for data, AI, and ML teams. It adds Git-like branching, commits, merges, rollbacks, tags, hooks, audit trails, lineage, and zero-copy data environments over object… Read the review → |
Strengths and trade-offs
Cloudera Data Lake Service — where it wins
- Comprehensive cataloging, governance, lineage, and chain-of-custody auditing
- Supports Apache Iceberg sharing, SQL access, Spark, Hive, and Impala
- Hybrid deployment with role- and attribute-based access policies
Where it doesn't
- Pricing uses consumption or contact-sales models instead of published tiers
- Positioning centers on Cloudera Data Platform environments
- Enterprise governance depth may exceed the needs of minimal lake setups
lakeFS — where it wins
- Git-like branching, merges, tags, and rollbacks for data
- Free-forever open-source edition with zero-copy branching
- Broad integrations across analytics, catalogs, ML, and storage
Where it doesn't
- More specialized in versioning than ingestion and querying
- Enterprise pricing requires contacting sales
- Enterprise trial is separate from the permanent Community edition
- Cloudera Data Lake Service9.1/10 · Pricing on request
A mature hybrid data lake service for enterprises needing governance, lineage, and Iceberg support.
Visit ClouderaFull verdict → - lakeFS8.5/10 · Free plan · pricing on request · 15-day trial
A governed, Git-like control layer for versioned data lakes.
Visit lakeFSFull verdict →
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All data lake software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







