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DBMS > Geode vs. GigaSpaces vs. Kinetica vs. TerarkDB vs. VelocityDB

System Properties Comparison Geode vs. GigaSpaces vs. Kinetica vs. TerarkDB vs. VelocityDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGigaSpaces  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegeode.apache.orgwww.gigaspaces.comwww.kinetica.comgithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationgeode.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Gigaspaces TechnologiesKineticaByteDance, originally TerarkVelocityDB Inc
Initial release20022000201220162011
Current release1.1, February 201715.5, September 20207.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial inforestricted open source version availablecommercial
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 languageJavaJava, C++, .NetC, C++C++C#
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Solaris
Windows
LinuxAny that supports .NET
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoXML can be used for describing objects metadatanonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-99 for query and DML statementsSQL-like DML and DDL statementsnono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
.Net
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
.Net
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsnono
Triggersyes infoCache Event Listenersyes, event driven architectureyes infotriggers when inserted values for one or more columns fall within a specified rangenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnonoACID
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.yesyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights per client and object definableRole-based access controlAccess rights for users and roles on table levelnoBased on Windows Authentication

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More resources
GeodeGigaSpacesKineticaTerarkDBVelocityDB
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