vs

Kinetica vs SingleStore

Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics. SingleStore: Distributed SQL mixing in-memory rowstore and columnstore for real-time analytics, search and vectors.

key differences

  • Kinetica is primarily a columnar / OLAP database; SingleStore is relational.
  • Transactions: Kinetica offers limited ACID; SingleStore offers full.
  • Only Kinetica has materialized views, ttl / expiry.
  • Only SingleStore has transactions, full-text search, change data capture, stored procedures, online schema changes.

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

choose singlestore for

  • +Real-time customer-facing analytics
  • +Fraud detection and risk scoring on streaming data
  • +Ad-tech and IoT ingestion with immediate querying
  • +Hybrid vector plus keyword search for RAG

best at · HTAP, Real-time analytics, Vector search

overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Spatial, Time-Series, Vector, Graph
Columnar / OLAP, Document, Vector, Search Engine, Spatial
Type
Database engine
Database engine
Status
Active
Active
Developer
Kinetica DB Inc.
SingleStore, Inc.
First release
2016
2013
Latest version
–
9.0.44 (Sep 24, 2026)
License
ProprietaryProprietary (free Developer Edition)
ProprietaryProprietary (free developer/standard licenses with limits)
Free tier
✓
✓
popularity
WhichDB Score
6.4
29.0
Rank
#361
#92
GitHub stars
–
–
Stack Overflow questions
–
403
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
Limited
Full
Consistency
Eventual
Strong
Schema
Strict
Strict
Architecture
Distributed, In memory
Distributed, In memory, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure
AWS, Google Cloud, 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 (PostgreSQL-flavoured)
SQL, MPSQL (stored procedures)
Client languages
Python, Java, JavaScript, C++, C#
Java, Python, JavaScript, Go, C#, PHP, Rust
Best for
Real-time analytics, Geo, Time-series, Vector search
HTAP, Real-time analytics, Vector search, Search

Kinetica vs SingleStore: FAQ

What is the difference between Kinetica and SingleStore?

Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics. SingleStore: Distributed SQL mixing in-memory rowstore and columnstore for real-time analytics, search and vectors. Kinetica is primarily a columnar / OLAP database; SingleStore is relational. Transactions: Kinetica offers limited ACID; SingleStore offers full. Only Kinetica has materialized views, ttl / expiry.

When should I choose Kinetica over SingleStore?

Choose Kinetica for real-time fleet and vehicle telemetry; telecom network analytics; and defense and geospatial intelligence. Choose SingleStore for real-time customer-facing analytics; fraud detection and risk scoring on streaming data; and ad-tech and IoT ingestion with immediate querying.

Is Kinetica or SingleStore more popular?

SingleStore ranks #92 on the WhichDB Score (29.0/100) and Kinetica ranks #361 (6.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Kinetica and SingleStore open source?

No. Kinetica is proprietary, closed-source software. No. SingleStore is proprietary, closed-source software.