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DBMS > CrateDB vs. Drizzle vs. Kinetica vs. OmniSci

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

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDrizzle  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.
DescriptionDistributed Date Store based on LuceneMySQL 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 GPUs
Primary database modelRelational DBMS
Search engine
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#163  Overall
#83  Relational DBMS
#10  Search engines
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitecrate.iowww.kinetica.comwww.omnisci.com
Technical documentationcrate.io/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperCrateDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.
Initial release2013200820122016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourceOpen SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
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 languageJavaC++C, C++C++ and CUDA
Server operating systemsAll OS with a Java 7 VMFreeBSD
Linux
OS X
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes, but no triggers and constraintsyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsMQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
JDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes 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 nodesselectable replication factorMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDnono
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlrights management via user accountsPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBDrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
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Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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