HPCC Systems
7.5#1 in data lake softwareFree planFree planWebAPIExtensionLinux
VisitHPCC Systems vs Qubole
What both publish
| Fact | HPCC Systems | Qubole |
|---|---|---|
| Headquarters | Atlanta metropolitan area, Georgia, United States | Santa Clara, California, United States |
| Integrations | Official integrations include Spark, Kafka, Couchbase, Redis, Memcached, Pentaho, R, JDBC, Java APIs and Tableau data connectors. | Qubole's Spark page lists authenticated ODBC/JDBC connections for Tableau and Looker, REST API integrations including Airflow and Oozie, and data connectors including Snowflake, Redshift, Kafka, and Kinesis. |
| Purpose | HPCC Systems is an open-source, data-intensive supercomputing platform for enterprise big-data problems. | Qubole describes its platform as an open, secure, multi-cloud data lake platform for machine learning, streaming analytics, data exploration, and ad-hoc analytics. |
| Security controls | Configurable security managers govern identities and access to landing zones, files, metadata, workunits and ESP services. | Qubole describes encryption, role-based access controls, and integration with cloud IAM, Active Directory, and LDAP for data access governance. |
HPCC Systems plans
- Open sourceFree
- Community EditionFree
- Enterprise subscriptionPriced on request
Qubole plans
- Free TrialFree
- Enterprise EditionPriced on request
- On-DemandPriced on request
Pick HPCC Systems if…
HPCC Systems suits organizations building data lakes or processing large, mixed-schema datasets that can manage a self-hosted platform. It may also fit teams that need parallel processing, query interfaces, or ECL-accessible machine-learning algorithms.
Pick Qubole if…
Qubole suits teams running data and analytics workloads across cloud providers, particularly those needing machine learning, streaming pipelines, or query and reporting tools. Its paid plans may also suit organizations seeking workload-aware resource management and stated security controls.