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Kinetica vs rasdaman

Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics. rasdaman: Array database for massive multidimensional rasters, with SQL-style queries and OGC WCPS services.

key differences

  • Kinetica is primarily a columnar / OLAP database; rasdaman is array / scientific.
  • Licensing: Kinetica is proprietary (Proprietary (free Developer Edition)); rasdaman is open source (copyleft) (GPL-3.0 server / LGPL-3.0 clients (community); proprietary enterprise).
  • Horizontal scaling is native in Kinetica and addon in rasdaman.
  • Transactions: Kinetica offers limited ACID; rasdaman offers full.
  • Only Kinetica has joins, secondary indexes, vector search, json, materialized views.
  • Only rasdaman has transactions.

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 rasdaman for

  • +Earth observation datacube services
  • +Climate and weather model output analysis
  • +Serving rasters via OGC WCS/WCPS

best at · Scientific, Geo, OLAP

overview
Primary model
Columnar / OLAP
Array / Scientific
Also supports
Relational, Spatial, Time-Series, Vector, Graph
Spatial
Type
Database engine
Database engine
Status
Active
Active
Developer
Kinetica DB Inc.
rasdaman GmbH (with Constructor University)
First release
2016
1996
Latest version
–
–
License
ProprietaryProprietary (free Developer Edition)
Open source (copyleft)GPL-3.0 server / LGPL-3.0 clients (community); proprietary enterprise
Free tier
✓
✓
popularity
WhichDB Score
6.4
3.9
Rank
#361
#423
GitHub stars
–
–
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Addon
Multi-region
None
None
ACID
Limited
Full
Consistency
Eventual
Strong
Schema
Strict
Strict
Architecture
Distributed, In memory
Client server, Distributed
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 (PostgreSQL-flavoured)
rasql, OGC WCPS
Client languages
Python, Java, JavaScript, C++, C#
C++, Java, Python
Best for
Real-time analytics, Geo, Time-series, Vector search
Scientific, Geo, OLAP

Kinetica vs rasdaman: FAQ

What is the difference between Kinetica and rasdaman?

Kinetica: GPU- and vector-accelerated database for real-time spatial, time-series and vector analytics. rasdaman: Array database for massive multidimensional rasters, with SQL-style queries and OGC WCPS services. Kinetica is primarily a columnar / OLAP database; rasdaman is array / scientific. Licensing: Kinetica is proprietary (Proprietary (free Developer Edition)); rasdaman is open source (copyleft) (GPL-3.0 server / LGPL-3.0 clients (community); proprietary enterprise). Horizontal scaling is native in Kinetica and addon in rasdaman.

When should I choose Kinetica over rasdaman?

Choose Kinetica for real-time fleet and vehicle telemetry; telecom network analytics; and defense and geospatial intelligence. Choose rasdaman for earth observation datacube services; climate and weather model output analysis; and serving rasters via OGC WCS/WCPS.

Is Kinetica or rasdaman more popular?

Kinetica ranks #361 on the WhichDB Score (6.4/100) and rasdaman ranks #423 (3.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Kinetica and rasdaman open source?

No. Kinetica is proprietary, closed-source software. Yes. rasdaman is open source. License: GPL-3.0 server / LGPL-3.0 clients (community); proprietary enterprise.