HPCC Systems vs Qubole

HPCC Systems8.7Visit Qubole8.3Visit

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

vs

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

• HPCC Systems fits best

  Open-source analytics data lakes

• Qubole fits best

  Managed analytics-heavy data lakes

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Side by side

Feature	HPCC Systems 8.7/10 Visit ↗	Qubole 8.3/10 Visit ↗
At a glance
Editor score	8.7	8.3
Ranking	#4 in Data Lake Software	#7 in Data Lake Software
Best for	Open-source analytics data lakes	Managed analytics-heavy data lakes
Pricing model	Free	Paid
Starting price	Free plan	—
Free plan	✓ (best)	—
Free trial	—	30 days
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web, Linux	Web
Support	Email, Community, Docs	Email, Docs
Integrations	6 integrations	14 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features HPCC Systems 3/4 · Qubole 3/4
Metadata catalog	✓	✓
Governance controls	✓	✓
Open table formats	Not checked yet	—
Data sharing	✓	✓
Specs
Deployment model	Hybrid	Cloud
Ingestion modes	Both	Both
Query interface	Both	Both
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	Managed Spark, Presto, Hive, and Airflow engines Batch and streaming pipelines with Kafka and Kinesis ingestion Governance, metadata discovery, autoscaling, and BI connectivity
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	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	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 →	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

• 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

• 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

• 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 →
• Qubole8.3/10 · 30-day trial

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

  Visit QuboleFull verdict →