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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBangdb  Xexclude from comparisonGeoMesa  Xexclude from comparisonKinetica  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 FlinkConverged and high performance database for device data, events, time series, document and graphGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Fully vectorized database across both GPUs and CPUsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelTime Series DBMSDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMSSpatial 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteiotdb.apache.orgbangdb.comwww.geomesa.orgwww.kinetica.comorientdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bangdb.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.kinetica.comwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationSachin Sinha, BangDBCCRi and othersKineticaOrientDB LTD; CallidusCloud; SAP
Initial release20182012201420122010
Current release1.1.0, April 2023BangDB 2.0, October 20215.0.0, May 20247.1, August 20213.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache License 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ScalaC, C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesyesschema-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 dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolnoSQL-like DML and DDL statementsSQL-like query language, no joins
APIs and other access methodsJDBC
Native API
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonouser defined functionsJava, Javascript
Triggersyesyes, Notifications (with Streaming only)noyes infotriggers when inserted values for one or more columns fall within a specified rangeHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor, Knob for CAP (enterprise version only)depending on storage layerSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Tunable consistency, set CAP knob accordinglydepending on storage layerImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modedepending on storage layeryes infoGPU vRAM or System RAM
User concepts infoAccess controlyesyes (enterprise version only)yes infodepending on the DBMS used for storageAccess rights for users and roles on table levelAccess rights for users and roles; record level security configurable

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More resources
Apache IoTDBBangdbGeoMesaKineticaOrientDB
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