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DBMS > Elasticsearch vs. GridGain vs. Kinetica vs. Valentina Server

System Properties Comparison Elasticsearch vs. GridGain vs. Kinetica vs. Valentina Server

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsObject-relational database and reports server
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.gridgain.comwww.kinetica.comwww.valentina-db.net
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gridgain.com/­docs/­index.htmldocs.kinetica.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperElasticGridGain Systems, Inc.KineticaParadigma Software
Initial release2010200720121999
Current release8.6, January 2023GridGain 8.5.17.1, August 20215.7.5
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercial
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 languageJavaJava, C++, .NetC, C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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.noyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)user defined functionsyes
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.Memcached and Redis integrationyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
ElasticsearchGridGainKineticaValentina Server
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