DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. OmniSci

System Properties Comparison Drizzle vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. OmniSci

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Performant, highly scalable DBMS for AI and IoT applicationsGPU-accelerated database for real-time analysis of large and streaming datasetsA Wide Column Store for rapid development using massive semi-structured datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSKey-value storeRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#341  Overall
#61  Key-value stores
Score0.67
Rank#196  Overall
#96  Relational DBMS
Score5.58
Rank#63  Overall
#5  Wide column stores
Score2.20
Rank#117  Overall
#58  Relational DBMS
Websitewww.datajaguar.comwww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.omnisci.com
Technical documentationwww.datajaguar.com/­support.phpwww.kinetica.com/­docsdocs.omnisci.com
DeveloperDrizzle project, originally started by Brian AkerDataJaguar, Inc.KineticaMicrosoftMapD Technologies, Inc.
Initial release20082015201220122016
Current release7.2.4, September 20122.9.4 September 20186.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL V3.0commercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ infothe server part. Clients available in other languagesC, C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxhostedLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleJaguarDBKineticaMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleJaguarDBKineticaMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

GPU Database Market 2020 Driving Factors, COVID-19 Insight Analysis, Top Manufacturers – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, etc
13 August 2020, Owned

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

Global GPU Database Market 2020 Highlights The Impact of Covid-19 on Economies & Business Development: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
12 August 2020, Bulletin Line

Global GPU Database Market 2020 Top Manufacturers Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb
6 August 2020, Red & Black Student Newspaper

GPU Database Market Challenges and Growth Factor By 2026
13 August 2020, Weekly Wall

provided by Google News

IFI Techsolutions recognised as a finalist of OSS on Azure 2020 Microsoft Partner of the Year
17 July 2020, CRN.in

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Load data from Azure Blob storage into Azure SQL - Microsoft
23 April 2020, Channel 9

AzUrlShortener: An open source, budget-friendly URL shortener - Microsoft
15 May 2020, Channel 9

Get to know Microsoft Azure Cosmos DB use cases
11 November 2019, TechTarget

provided by Google News

Global GPU Database Market 2020 Highlights The Impact of Covid-19 on Economies & Business Development: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
12 August 2020, Bulletin Line

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

Global GPU Database Market 2020 Top Manufacturers Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb
6 August 2020, Red & Black Student Newspaper

Global GPU Database Market Will Accelerate At a Highest CAGR By 2025-Leading Companies Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt and more
29 July 2020, Owned

GPU Database Market Challenges and Growth Factor By 2026
13 August 2020, Weekly Wall

provided by Google News

Job opportunities

Azure Full Stack .NET Developer
Capgemini, Oaks, PA

Developer I (Mid-Level)
OverDrive, Inc., Cleveland, OH

Azure Data Architect - Atlanta
Magenic, Atlanta, GA

Azure Dev/Ops Engineer – Unified Data Platform (Remote)
JLL, Chicago, IL

Data Engineer I - Azure
Vermeer Corporation, Pella, IA

SVP, Product Management
Tru Optik Data Corp, Stamford, CT

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Present your product here