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DBMS > Apache IoTDB vs. GeoMesa vs. Kinetica vs. openGemini vs. OrientDB

System Properties Comparison Apache IoTDB vs. GeoMesa vs. Kinetica vs. openGemini vs. OrientDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonKinetica  Xexclude from comparisonopenGemini  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Fully vectorized database across both GPUs and CPUsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteiotdb.apache.orgwww.geomesa.orgwww.kinetica.comwww.opengemini.org
github.com/­openGemini
orientdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.kinetica.comdocs.opengemini.org/­guidewww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationCCRi and othersKineticaHuawei and openGemini communityOrientDB LTD; CallidusCloud; SAP
Initial release20182014201220222010
Current release1.1.0, April 20235.0.0, May 20247.1, August 20211.1, July 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache version 2
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 languageJavaScalaC, C++GoJava
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesInteger, Float, Boolean, Stringyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsSQL-like query languageSQL-like query language, no joins
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
HTTP RESTTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsnoJava, Javascript
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)depending on storage layerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasdepending on storage layerSource-replica replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
depending on storage layerImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
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.yesdepending on storage layeryes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesyes infodepending on the DBMS used for storageAccess rights for users and roles on table levelAdministrators and common users accountsAccess rights for users and roles; record level security configurable

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More resources
Apache IoTDBGeoMesaKineticaopenGeminiOrientDB
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