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DBMS > JaguarDB vs. Kinetica

System Properties Comparison JaguarDB vs. Kinetica

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#372  Overall
#58  Key-value stores
Score0.47
Rank#264  Overall
#122  Relational DBMS
Websitewww.datajaguar.comwww.kinetica.com
Technical documentationwww.datajaguar.com/­support.phpwww.kinetica.com/­docs
DeveloperDataJaguar, Inc.Kinetica
Initial release20152012
Current release2.9.4 September 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC, C++
Server operating systemsLinuxLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
JaguarDBKinetica
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
JaguarDBKinetica
Recent citations in the news

Kinetica Now Available as a Service in AWS Marketplace
29 September 2022, Datanami

By 2028, GPU Database Market Size in 2022 | Leading Players with Analysts Certification, Strong Calculated Business Strategy in Report 111 Pages
4 October 2022, Digital Journal

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

GPU Acceleration Makes Kinetica's Brute Force Database a Brute
17 November 2016, Data Center Knowledge

Review: Kinetica analyzes billions of rows in real time
29 April 2019, InfoWorld

provided by Google News



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