lakeFS vs Qubole

lakeFS8.5Visit Qubole8.3Visit

Higher score lakeFS #6 in Data Lake Software 8.5/10 Free plan · pricing on request · 15-day trial Free planFree trial✓ 4 of 4 features Visit lakeFS

vs

Qubole #7 in Data Lake Software 8.3/10 30-day trial Free trial✓ 3 of 4 features Visit Qubole

• lakeFS fits best

  Versioned, governed data lakes

• Qubole fits best

  Managed analytics-heavy data lakes

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Side by side

Feature	lakeFS 8.5/10 Visit ↗	Qubole 8.3/10 Visit ↗
At a glance
Editor score	8.5	8.3
Ranking	#6 in Data Lake Software	#7 in Data Lake Software
Best for	Versioned, governed data lakes	Managed analytics-heavy data lakes
Pricing model	Free plan + paid	Paid
Starting price	—	—
Free plan	✓ (best)	—
Free trial	15 days	30 days
Free trial length	15 days	30 days
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Community, Docs	Email, Docs
Compliance	SOC 2, SSO/SAML	SOC 2, ISO 27001, GDPR, HIPAA
Integrations	20 integrations	14 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features lakeFS 4/4 · Qubole 3/4
Metadata catalog	✓	✓
Governance controls	✓	✓
Open table formats	✓ (best)	—
Data sharing	✓	✓
Specs
Deployment model	Hybrid	Cloud
Ingestion modes	Not checked yet	Both
Query interface	Not checked yet	Both
Our review
Pros	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	Managed Spark, Presto, Hive, and Airflow engines Batch and streaming pipelines with Kafka and Kinesis ingestion Governance, metadata discovery, autoscaling, and BI connectivity
Cons	More specialized in versioning than ingestion and querying Enterprise pricing requires contacting sales Enterprise trial is separate from the permanent Community edition	No free plan beyond the 30-day trial Modern open table formats are not supported The product is focused on cloud deployment rather than local use
Our verdict	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 →	Qubole is a cloud-native, multi-cloud data lake platform for data engineers, analysts, data scientists, and administrators. It combines managed Apache Spark, Presto, Hive, and Airflow with batch and streaming pipelines, SQL analytics,… Read the review →

Strengths and trade-offs

• 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

• Qubole — where it wins

  • Managed Spark, Presto, Hive, and Airflow engines
  • Batch and streaming pipelines with Kafka and Kinesis ingestion
  • Governance, metadata discovery, autoscaling, and BI connectivity

  Where it doesn't

  • No free plan beyond the 30-day trial
  • Modern open table formats are not supported
  • The product is focused on cloud deployment rather than local use

• lakeFS8.5/10 · Free plan · pricing on request · 15-day trial

  A governed, Git-like control layer for versioned data lakes.

  Visit lakeFSFull verdict →
• Qubole8.3/10 · 30-day trial

  A managed, analytics-focused data lake with broad engine, pipeline, and BI support.

  Visit QuboleFull verdict →