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Head-to-head · Data Lake Software

lakeFS vs Oracle Big Data Service

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
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
Oracle Big Data Service #8 in Data Lake Software 8.1/10 Paid ✓ 2 of 4 features Visit Oracle

lakeFS leads on 1 check, Oracle Big Data Service on 0, and 4 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 scorelakeFS · 8.5/10
  • Free planonly lakeFS
  • Free trialonly lakeFS
  • Most featureslakeFS · 4 of 4

lakeFS scores higher on our rubric for data lake software: 8.5 against 8.1 out of 10; our editors rank them #6 and #8.

lakeFS offers free plan; Oracle Big Data Service doesn't. On deployment model, lakeFS gives you Hybrid where Oracle Big Data Service offers Cloud.

lakeFS is the better fit for versioned, governed data lakes. Oracle Big Data Service is the better fit for oracle-centered Hadoop data lakes.

  • lakeFS fits best

    Versioned, governed data lakes

  • Oracle Big Data Service fits best

    Oracle-centered Hadoop data lakes

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature lakeFS 8.5/10 Visit ↗ Oracle Big Data Service 8.1/10 Visit ↗
At a glance
Editor score 8.5 8.1
Ranking #6 in Data Lake Software #8 in Data Lake Software
Best for Versioned, governed data lakes Oracle-centered Hadoop data lakes
Pricing model Free plan + paid Paid
Starting price — $0.02/unit usage-based
Free plan ✓ (best) —
Free trial 15 days —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Community, Docs Community, Docs
Compliance SOC 2, SSO/SAML 2FA
Integrations 20 integrations 9 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features lakeFS 4/4 · Oracle Big Data Service 2/4
Metadata catalog ✓ ✓
Governance controls ✓ ✓
Open table formats ✓ (best) Not checked yet
Data sharing ✓ (best) Not checked yet
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 Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink
  • Ranger governance with fine-grained access control and auditing
  • OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub
Cons
  • More specialized in versioning than ingestion and querying
  • Enterprise pricing requires contacting sales
  • Enterprise trial is separate from the permanent Community edition
  • Paid service with no free plan
  • Compute, storage, and Cloud SQL charges are billed separately
  • Its core approach centers on Hadoop and Oracle Cloud services
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 →

Oracle Big Data Service is a managed cloud service for deploying Hadoop-based data lakes on Oracle Cloud Infrastructure. It is designed for organizations that need configurable clusters with HDFS, YARN, Hive, Spark, HBase, Kafka, Flink,…

Read the review →
  1. lakeFSData Lake Software 8.5Free plan · pricing on request · 15-day trial
  2. Oracle Big Data ServiceData Lake Software 8.1Paid

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

  • Oracle Big Data Service — where it wins

    • Managed Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink
    • Ranger governance with fine-grained access control and auditing
    • OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub

    Where it doesn't

    • Paid service with no free plan
    • Compute, storage, and Cloud SQL charges are billed separately
    • Its core approach centers on Hadoop and Oracle Cloud services
  • lakeFS8.5/10 · Free plan · pricing on request · 15-day trial

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

    Visit lakeFSFull verdict →
  • Oracle Big Data Service8.1/10 · Paid

    A strong Oracle-centered Hadoop lake service with usage-based pricing and broad ODH components.

    Visit OracleFull verdict →

More comparisons

All data lake software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update