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DBMS > GridDB vs. InfluxDB vs. OrientDB vs. Rockset

System Properties Comparison GridDB vs. InfluxDB vs. OrientDB vs. Rockset

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOrientDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDBMS for storing time series, events and metricsMulti-model DBMS (Document, Graph, Key/Value)A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Document store
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websitegriddb.netwww.influxdata.com/­products/­influxdb-overvieworientdb.orgrockset.com
Technical documentationdocs.griddb.netdocs.influxdata.com/­influxdbwww.orientdb.com/­docs/­last/­index.htmldocs.rockset.com
DeveloperToshiba CorporationOrientDB LTD; CallidusCloud; SAPRockset
Initial release2013201320102019
Current release5.1, August 20222.7.6, April 20243.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJavaC++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
All OS with a Java JDK (>= JDK 6)hosted
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampNumeric data and Stringsyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query language, no joinsRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
JSON over UDP
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesC
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
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava, Javascriptno
TriggersyesnoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlyMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDno
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.yesyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users can be defined per databasesimple rights management via user accountsAccess rights for users and roles; record level security configurableAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
GridDBInfluxDBOrientDBRockset
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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GridDBInfluxDBOrientDBRockset
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Recent citations in the news

TOSHIBA DIGITAL SOLUTIONS CORPORATION
1 November 2020, global.toshiba

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