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

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

Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGPU-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 DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#282  Overall
#27  Graph DBMS
#16  RDF stores
Score0.16
Rank#264  Overall
#124  Relational DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websitewww.anzograph.comesgyn.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmesgyn.com/­developerswww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerEsgynKineticaMapD Technologies, Inc.
Initial release20182008201520122016
Current release1904.0, April 20197.2.4, September 20126.0V4
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialOpen 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++, JavaC, 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 extensionsyesSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
JDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresuser 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 nodesMaster-master replication
Master-slave replication
Master-master replication between multi datacentersMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
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, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraphDrizzleEsgynDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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