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DBMS > Elasticsearch vs. GridDB vs. InfluxDB vs. Kinetica

System Properties Comparison Elasticsearch vs. GridDB vs. InfluxDB vs. Kinetica

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGridDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  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 metricScalable in-memory time series database optimized for IoT and Big DataDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUs
Primary database modelSearch engineTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Key-value store
Relational DBMS
Spatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.elastic.co/­elasticsearchgriddb.netwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.griddb.netdocs.influxdata.com/­influxdbdocs.kinetica.com
DeveloperElasticToshiba CorporationKinetica
Initial release2010201320132012
Current release8.6, January 20235.1, August 20222.7.6, April 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT-License; commercial enterprise version availablecommercial
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 languageJavaC++GoC, C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X infothrough Homebrew
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampNumeric data and Stringsyes
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonouser defined functions
Triggersyes infoby using the 'percolation' featureyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectorConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
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 consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoDepending on used storage engineyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users can be defined per databasesimple rights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
ElasticsearchGridDBInfluxDBKinetica
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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