HPCC Systems vs lakeFS

HPCC Systems8.7Visit lakeFS8.5Visit

Higher score HPCC Systems #4 in Data Lake Software 8.7/10 Free plan Free plan✓ 3 of 4 features Visit HPCC Systems

vs

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

• HPCC Systems fits best

  Open-source analytics data lakes

• lakeFS fits best

  Versioned, governed data lakes

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Side by side

Feature	HPCC Systems 8.7/10 Visit ↗	lakeFS 8.5/10 Visit ↗
At a glance
Editor score	8.7	8.5
Ranking	#4 in Data Lake Software	#6 in Data Lake Software
Best for	Open-source analytics data lakes	Versioned, governed data lakes
Pricing model	Free	Free plan + paid
Starting price	Free plan	—
Free plan	✓	✓
Free trial	—	15 days
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Linux	Web
Support	Email, Community, Docs	Community, Docs
Integrations	6 integrations	20 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features HPCC Systems 3/4 · lakeFS 4/4
Metadata catalog	✓	✓
Governance controls	✓	✓
Open table formats	Not checked yet	✓ (best)
Data sharing	✓	✓
Specs
Deployment model	Hybrid	Hybrid
Ingestion modes	Both	Not checked yet
Query interface	Both	Not checked yet
Our review
Pros	Free open-source deployment with distributed ingestion and query engines Replication, failover, Kubernetes, and hybrid cloud deployment support Machine learning, SQL, APIs, governance, and workflow capabilities	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
Cons	ECL adds a platform-specific programming language to the learning curve The broad feature set may exceed the needs of narrow data lake projects Open table format workflows are not a stated focus	More specialized in versioning than ingestion and querying Enterprise pricing requires contacting sales Enterprise trial is separate from the permanent Community edition
Our verdict	HPCC Systems is an open-source platform for enterprise data engineering, data lake management, analytics, and machine learning. It suits teams that need distributed ingestion, transformation, enrichment, indexing, querying, and information… 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

• HPCC Systems — where it wins

  • Free open-source deployment with distributed ingestion and query engines
  • Replication, failover, Kubernetes, and hybrid cloud deployment support
  • Machine learning, SQL, APIs, governance, and workflow capabilities

  Where it doesn't

  • ECL adds a platform-specific programming language to the learning curve
  • The broad feature set may exceed the needs of narrow data lake projects
  • Open table format workflows are not a stated focus

• 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

• HPCC Systems8.7/10 · Free plan

  A broad open-source data lake platform for distributed processing, queries, governance, and machine learning.

  Visit HPCC SystemsFull 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 →