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DBMS > Drizzle vs. Kinetica vs. OmniSci vs. TigerGraph

System Properties Comparison Drizzle vs. Kinetica vs. OmniSci vs. TigerGraph

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTigerGraph  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.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Score0.97
Rank#156  Overall
#11  Graph DBMS
Websitewww.kinetica.comwww.omnisci.comwww.tigergraph.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestwww.tigergraph.com/­documentation
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release2008201220162017
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++ and CUDAC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesSQL-like query language (GSQL)
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersVisa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsDeveloper & Enterprise Edition: https://www.tigergraph.com/download/ Pricing is available...
» more

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More resources
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TigerGraph
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