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DBMS > Drizzle vs. EsgynDB vs. InterSystems IRIS vs. Kinetica vs. OmniSci

System Properties Comparison Drizzle vs. EsgynDB vs. InterSystems IRIS vs. Kinetica vs. OmniSci

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityGPU-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 DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#264  Overall
#124  Relational DBMS
Score0.93
Rank#159  Overall
#22  Document stores
#27  Key-value stores
#6  Object oriented DBMS
#76  Relational DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websiteesgyn.comwww.intersystems.com/­products/­intersystems-iriswww.kinetica.comwww.omnisci.com
Technical documentationesgyn.com/­developersdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperDrizzle project, originally started by Brian AkerEsgynInterSystemsKineticaMapD Technologies, Inc.
Initial release20082015201820122016
Current release7.2.4, September 20122018.1.1, February 20186.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialOpen 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 systemsFreeBSD
Linux
OS X
LinuxAIX
Linux
macOS
Windows
LinuxLinux
Data schemeyesyesdepending on used data modelyesyes
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.noyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding 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-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesno
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleEsgynDBInterSystems IRISKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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DrizzleEsgynDBInterSystems IRISKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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