So much raw compute power, you won't need to think about indexing, partitioning or downsampling!
Very Low Latency
With less to index, data is available immediately after it is written. No more waiting for data structures to be updated before the data can be returned in queries.
Ask any question
Since there is no need to prepare the schema before it can be explored, business analysts have complete flexibility and freedom for data discovery projects.
Linear Scale out
With simpler data structures, the database scales in proportion to the size of the data. This leads to smaller and more predictable hardware costs.
Did we mention speed?
10x-100x faster than even the most advanced in-memory databases
Scale out on industry-standard hardware
The efficiencies of Kinetica's GPU architecture typically result in hardware costs that are 1⁄10 that of other in-memory databases.
As datasets grow, Kinetica is able to scale out across multiple nodes. Kinetica leverages the raw compute power of the GPU to break open processing bottlenecks and reduce reliance on indexes. In addition to performance benefits, customers experience dramatic efficiency gains. Kinetica sometimes requires just 1⁄10 of the hardware and 1⁄20 of the power when compared to other in-memory analytics solutions.
Set Business Users Free!
Kinetica provides a range of methods for analysts and line of business users to query across the full dataset. The raw power of GPU-accelerated analytics ensures there is no need for partitioning, downsampling, or redesigning the data model when a new query capability is needed.
Full Text Search
Full text search functionality is supported by Natural Language Processing (NLP) and the full set of results can be rendered on a map. Results aren’t limited to the first 10, 20 or 30 pages of relevant information.
Write Queries in SQL
Kinetica is a fully SQL compliant database; no programming necessary. Query your data the way you want to.
Use with Popular BI Tools
ODBC/JDBC connectors ensure data can be used with popular BI tools such as Tableau and open source front-end tooling such as Kibana and Caravel.
Kinetica Reveal : Visualization Framework
Bring your own BI dashboard, or take advantage of Kinetica 'Reveal' — a web-based visualization framework that makes it easy to slice, dice and visualize data in Kinetica. Reveal works with Kinetica's native geospatial visualization pipeline to make it possible to see changes across large datasets as the underlying data or queries change.
- Allow users to easily and intuitively visualize datasets, and share interactive dashboards
- Visualize billions of data points on a map, filter and query them with real-time response.
- Take advantage of a wide gamut of geospatial visualization renderers such as feature, class break, heat maps, and geofencing.
Power and capability for developers and administrators
Ingest from multiple sources
Pre-built connectors for Apache Kafka, Apache NiFi, Apache Spark, Spark Streaming, Apache Storm, and ODBC/JDBC make it simple to ingest data from a wide range of data sources.
See Examples »
Kinetica provides linear scalability on industry standard hardware. Data replication is handled for high availability. Sharding can be done automatically, or specified and optimized by the user.
Advanced Analytics with In-Database Processing
In-Database Processing Brings AI and BI Together »
Take the Kinetica Challenge!
Sometimes benchmarks and marketing copy can sound too good to be true. The best way to appreciate the possibilities that GPU acceleration brings to large-scale analytics is to try it with your own data, your own schemas and your own queries.
Contact us, and we'll set you up with a trial environment for you to experience it for yourself.