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DBMS > Apache IoTDB vs. Fujitsu Enterprise Postgres vs. OpenQM vs. OrigoDB vs. TerminusDB

System Properties Comparison Apache IoTDB vs. Fujitsu Enterprise Postgres vs. OpenQM vs. OrigoDB vs. TerminusDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 FlinkEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.QpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSDocument store
Object oriented DBMS
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteiotdb.apache.orgwww.postgresql.fastware.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comterminusdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.postgresql.fastware.com/­product-manualsorigodb.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRocket Software, originally Martin PhillipsRobert Friberg et alDataChemist Ltd.
Initial release201819932009 infounder the name LiveDB2018
Current release1.1.0, April 2023Fujitsu Enterprise Postgres 14, January 20223.4-1211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#Prolog, Rust
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnonoSQL-like query language (WOQL)
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
HTTP API
LINQ
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
.NetJavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesyesyes
Triggersyesyesyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)partitioning by range, list and by hashyeshorizontal partitioning infoclient side managed; servers are not synchronizedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyesSource-replica replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelRole based authorizationRole-based access control

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More resources
Apache IoTDBFujitsu Enterprise PostgresOpenQM infoalso called QMOrigoDBTerminusDB infoformer name was DataChemist
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