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DBMS > Apache IoTDB vs. GeoMesa vs. Infobright vs. OrientDB

System Properties Comparison Apache IoTDB vs. GeoMesa vs. Infobright vs. OrientDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonInfobright  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score1.00
Rank#193  Overall
#90  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websiteiotdb.apache.orgwww.geomesa.orgignitetech.com/­softwarelibrary/­infobrightdborientdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationCCRi and othersIgnite Technologies Inc.; formerly InfoBright Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2018201420052010
Current release1.1.0, April 20234.0.5, February 20243.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaCJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-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 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.nononono
Secondary indexesyesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language, no joins
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonoJava, Javascript
TriggersyesnonoHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)depending on storage layernoneSharding
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 replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono 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
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yesdepending on storage layeryes
User concepts infoAccess controlyesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users and roles; record level security configurable

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More resources
Apache IoTDBGeoMesaInfobrightOrientDB
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