DBMS > Kinetica
Kinetica System Properties
Please select another system to compare it with Kinetica.
|Editorial information provided by DB-Engines|
|Description||Fully vectorized database across both GPUs and CPUs|
|Primary database model||Relational DBMS|
|Current release||7.1, August 2021|
|License Commercial or Open Source||commercial|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C, C++|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes|
|SQL Support of SQL||SQL-like DML and DDL statements|
|APIs and other access methods||JDBC|
RESTful HTTP API
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions|
|Triggers||yes triggers when inserted values for one or more columns fall within a specified range|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|yes GPU vRAM or System RAM|
|User concepts Access control||Access rights for users and roles on table level|
|More information provided by the system vendor|
Native and fully vectorized database across both GPUs and CPUs, with memory first architecture providing unmatched speed and scale in the cloud.
Best in class geospatial and temporal analytics. Lockless architecture provides real-time ingest and query. Efficiencies of vectorization yield 100X+ performance improvements while simultaneously reducing amount of required hardware.
|Typical application scenarios|
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial analysis, or (4) combination of all of the above.
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos, top global retailer, top auto manufacturer, and others
The largest IoT deployment in the world, NORAD, runs on Kinetica.
|Licensing and pricing models|
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable Commercial License.
Related products and services
|Recent citations in the news|
Graphics Processing Units (GPU) Database Market Analysis by Size, Business Strategies, Share, Growth, Trends, Revenue, Competitive Landscape and Developments Forecast by 2028
Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
Kinetica Database Now on Azure
The insideBIGDATA IMPACT 50 List for Q2 2022
provided by Google News
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