DBMS > JaguarDB vs. Kinetica vs. OpenQM

System Properties Comparison JaguarDB vs. Kinetica vs. OpenQM

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

Fully vectorized database across both GPUs and CPUs

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Key-value store

Relational DBMS

Multivalue DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.04
Rank	#339	Overall
	#51	Key-value stores

Score	0.55
Rank	#230	Overall
	#110	Relational DBMS

Score	0.19
Rank	#290	Overall
	#10	Multivalue DBMS

Website

www.datajaguar.com

www.kinetica.com

www.openqm.com

Technical documentation

www.datajaguar.com/support.php

www.kinetica.com/docs

www.openqm.com/support/documentation

Developer

DataJaguar, Inc.

Kinetica

Martin Phillips

Initial release

2015

2012

1993

Current release

2.9.4 September 2018

7.1, August 2021

3.4-12

License

Commercial or Open Source

Open Source

GPL V3.0

commercial

Open Source

GPLv2, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

the server part. Clients available in other languages

C, C++

Server operating systems

Linux

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

with some exceptions

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C++
Java
JavaScript (Node.js)
Python

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

GPU vRAM or System RAM

User concepts

Access control

rights management via user accounts

Access rights for users and roles on table level

Access rights can be defined down to the item level

More information provided by the system vendor

Specific characteristics

Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more

Competitive advantages

Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more

Typical application scenarios

Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more

Key customers

Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more

Market metrics

The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more

Licensing and pricing models

Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

GPU Database Market Share, Key Dynamics 2022 Global Growth Insights, Key Players Analysis, Industry Segmentation, Latest Technologies and Emerging Trends Forecast to 2029
25 July 2022, Digital Journal

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

GPU Database Market 2022-2028 | Growth, Size, Shares, Revenue, Types, Applications, Key Players, Top Coun
3 August 2022, Benzinga

GPU Database Market 2022-2028 | Growth, Size, Shares, Revenue, Types, Applications, Key Players, Top Countries, Growing Factors, Key Dynamics, Emerging Technologies
3 August 2022, GlobeNewswire

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

provided by Google News

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