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DBMS > Cubrid vs. Geode vs. Kinetica vs. LevelDB vs. TerarkDB

System Properties Comparison Cubrid vs. Geode vs. Kinetica vs. LevelDB vs. TerarkDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA 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 DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#163  Overall
#80  Relational DBMS
Score1.62
Rank#137  Overall
#26  Key-value stores
Score0.74
Rank#202  Overall
#99  Relational DBMS
Score2.94
Rank#101  Overall
#17  Key-value stores
Score0.01
Rank#344  Overall
#54  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
geode.apache.orgwww.kinetica.comgithub.com/­google/­leveldbgithub.com/­Terark/­terarkdb
Technical documentationcubrid.org/­manualsgeode.apache.org/­docswww.kinetica.com/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdgithub.com/­Terark/­terarkdb/­wiki
DeveloperCUBRID Corporation, CUBRID FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaGoogleTerark
Initial release20082002201220112016
Current release11.0, January 20211.1, February 20177.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoBSDcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaC, C++C++C++
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxIllumos
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsuser defined functionsnono
Triggersyesyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
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 controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users and roles on table levelnono
More information provided by the system vendor
CubridGeodeKineticaLevelDBTerarkDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
CubridGeodeKineticaLevelDBTerarkDB
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