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Apache Pinot vs Kinetica

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics.

key differences

  • Licensing: Apache Pinot is open source (permissive) (Apache License 2.0); Kinetica is proprietary (Proprietary (free Developer Edition)).
  • Apache Pinot is built for larger datasets (Multi-PB) than Kinetica (≤ 1 PB).
  • Transactions: Apache Pinot offers none ACID; Kinetica offers limited.
  • Only Apache Pinot has full-text search.
  • Only Kinetica has materialized views, in-memory, encryption at rest.

choose apache-pinot for

  • +User-facing analytics in products
  • +Real-time business metrics and anomaly detection
  • +Ad and marketplace analytics
  • +Operational dashboards on streaming data

best at · Real-time analytics, OLAP, Observability

choose kinetica for

  • +Real-time fleet and vehicle telemetry
  • +Telecom network analytics
  • +Defense and geospatial intelligence
  • +Fraud detection with vector similarity

best at · Real-time analytics, Geo, Time-series

Apache PinotReal-time OLAP store from LinkedIn for user-facing analytics at very high query rates.
KineticaGPU- and vector-accelerated database for real-time spatial, time-series and vector analytics.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Time-Series
Relational, Spatial, Time-Series, Vector, Graph
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Kinetica DB Inc.
First release
2015
2016
Latest version
1.5.1 (Jun 5, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary (free Developer Edition)
Free tier
✓
✓
popularity
WhichDB Score
29.9
6.4
Rank
#88
#361
GitHub stars
6.2K
–
Stack Overflow questions
23
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
Limited
Consistency
Eventual
Eventual
Schema
Strict
Strict
Architecture
Distributed, Shared storage
Distributed, In memory
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Azure
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
—
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
✓
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
✓
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (Calcite-based)
SQL (PostgreSQL-flavoured)
Client languages
Java, Python, Go, JavaScript, C#
Python, Java, JavaScript, C++, C#
Best for
Real-time analytics, OLAP, Observability
Real-time analytics, Geo, Time-series, Vector search
Add more to this comparisonNot sure either fits? Try smart match

Apache Pinot vs Kinetica: FAQ

What is the difference between Apache Pinot and Kinetica?

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics. Licensing: Apache Pinot is open source (permissive) (Apache License 2.0); Kinetica is proprietary (Proprietary (free Developer Edition)). Apache Pinot is built for larger datasets (Multi-PB) than Kinetica (≤ 1 PB). Transactions: Apache Pinot offers none ACID; Kinetica offers limited.

When should I choose Apache Pinot over Kinetica?

Choose Apache Pinot for user-facing analytics in products; real-time business metrics and anomaly detection; and ad and marketplace analytics. Choose Kinetica for real-time fleet and vehicle telemetry; telecom network analytics; and defense and geospatial intelligence.

Is Apache Pinot or Kinetica more popular?

Apache Pinot ranks #88 on the WhichDB Score (29.9/100) and Kinetica ranks #361 (6.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Pinot and Kinetica open source?

Yes. Apache Pinot is open source. License: Apache License 2.0. No. Kinetica is proprietary, closed-source software.