Trust your instincts with Hive/SparkSQL

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How Cube and Hive/SparkSQL work together

Cube works with Hive/SparkSQL to bring consistent data definitions, centrally managed security context, and powerful caching to every data application in your stack. Your applications connect to Cube’s SQL, REST, or GraphQL APIs, and Cube manages the underlying query.
RESTGraphQLSQL

Data Source

Headless BI

Data modeling, Access control, Caching

Power your data applications with Hive/SparkSQL and Cube

Performance + Reliability

Redundantly and directly querying your data source results in latency and unnecessary costs. Cube’s caching layer, pre-aggregations, and query queuing fix that.

Skip latency;
expect speed.

Security + Governance

Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.

Maintain ubiquitious
access control.

Compatibility + Flexibility

Cube’s API-first approach and SQL-compliant protocol enable you to maintain every BI tool or data app with consistent metrics definitions, access control, and caching.

Integrate with anything
and anyone.

Step-by-step guides on using Cube with Hive/SparkSQL

See Cube in action

With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.

Picture of Alessandro Lollo - the Participant

Alessandro Lollo

Senior Data Engineer at Cloud Academy

Reach out to Cube—because headless BI is better BI.

With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.

Picture of Alessandro Lollo - the Participant

Alessandro Lollo

Senior Data Engineer at Cloud Academy

Related Integrations

Check out Cube’s other integrations

Related Use Cases

Check out Cube’s other Use Cases

Embedded Analytics

Use Cube headless BI platform to power consistently informed, performant, and secure embedded analytics for your internal and external users.

Semantic Layer

With Cube's headless BI platform, use a Semantic Layer to define metrics upstream, and provide consistent data to every team and every stakeholder.