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DBMS > Drizzle vs. Geode vs. Ingres vs. Kinetica vs. TerarkDB

System Properties Comparison Drizzle vs. Geode vs. Ingres vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesWell established RDBMSGPU-accelerated database for real-time analysis of large and streaming datasetsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.71
Rank#132  Overall
#23  Key-value stores
Score5.28
Rank#66  Overall
#36  Relational DBMS
Score0.73
Rank#206  Overall
#101  Relational DBMS
Score0.10
Rank#320  Overall
#50  Key-value stores
Websitegeode.apache.orgwww.actian.com/­data-management/­ingres-sql-rdbmswww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationgeode.apache.org/­docsdocs.actian.com/­ingreswww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Actian CorporationKineticaTerark
Initial release200820021974 infooriginally developed at University Berkely in early 1970s20122016
Current release7.2.4, September 20121.1, February 201711.0, April 20176.0
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial inforestricted open source version 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++JavaCC, C++C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (OQL)yesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyesuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationIngres ReplicatorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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, HTTPAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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DrizzleGeodeIngresKineticaTerarkDB
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