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

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

Editorial information provided by DB-Engines
NameAnzoGraph  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.
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedMySQL 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 modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#303  Overall
#28  Graph DBMS
#18  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
Websitewww.cambridgesemantics.com/­anzographwww.datajaguar.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.datajaguar.com/­support.phpwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerDataJaguar, Inc.KineticaMapD Technologies, Inc.
Initial release20182008201520122016
Current release2.1, February 20207.2.4, September 20122.9.4 September 20186.0V4
License infoCommercial or Open SourcecommercialOpen 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 systemsLinuxFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyes infoRDF schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyesno
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 methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
JDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
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 proceduresuser defined functionsnonouser defined functionsno
Triggersnono 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 nodesShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable 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
AnzoGraphDrizzleJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsAnzoGraph DB is a massively parallel processing (MPP) native graph database built...
» more
SQL support, group by, order by, join
» more
Competitive advantagesAnzoGraph DB’s flexible data model and analytical capabilities not only let you load...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosDevelopers can use AnzoGraph DB to build and execute data warehouse-style BI analytics...
» more
IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersAnzograph DB has customers in biotech, pharma, financial services and other verticals.
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsAnzoGraph DB is offered in a free edition , free for commercial use for workloads...
» more
Free-trial license, per-node license, and subscription license.
» more

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AnzoGraphDrizzleJaguarDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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