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DBMS > AllegroGraph vs. Drizzle vs. JaguarDB vs. Kinetica vs. OmniSci

System Properties Comparison AllegroGraph vs. Drizzle vs. JaguarDB vs. Kinetica vs. OmniSci

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  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.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL 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 high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.00
Rank#341  Overall
#61  Key-value stores
Score0.67
Rank#196  Overall
#96  Relational DBMS
Score2.20
Rank#117  Overall
#58  Relational DBMS
Websiteallegrograph.comwww.datajaguar.comwww.kinetica.comwww.omnisci.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.datajaguar.com/­support.phpwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperFranz Inc.Drizzle project, originally started by Brian AkerDataJaguar, Inc.KineticaMapD Technologies, Inc.
Initial release20042008201520122016
Current release7.0.0, April 20207.2.4, September 20122.9.4 September 20186.0V4
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU GPLOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
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 systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyes infoRDF schemasyesyesyesyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonouser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDrizzleJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
SQL support, group by, order by, join
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Extremely 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
News

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

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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
AllegroGraphDrizzleJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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29 April 2020, Database Trends and Applications

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Report: GPU Database Market Study 2020-26 Kinetica DB, OmniSci, Neo4j
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Report: GPU Database Market Study 2020-26 Kinetica DB, OmniSci, Neo4j
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29 July 2020, Owned

United States GPU Database Market To 2028 Report Reviews Size, In-depth Qualitative Insights, Explosive Growth Opportunity, Regional Analysis
3 August 2020, Market Research Posts

Market Live: Global GPU Database Market Can Deliver up to High CAGR over the next Few Years | COVID19 Impact Analysis | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. | InForGrowth
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