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DBMS > Apache IoTDB vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

System Properties Comparison Apache IoTDB vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  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.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSRelational DBMSSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteiotdb.apache.orgwww.postgresql.fastware.comazure.microsoft.com/­en-us/­services/­searchquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.postgresql.fastware.com/­product-manualslearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftquasardbSiteWhere
Initial release2018201520092010
Current release1.1.0, April 2023Fujitsu Enterprise Postgres 14, January 2022V13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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 indexesyesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query languageno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP APIHTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)partitioning by range, list and by hashSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding infobased on HBase
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 replicationyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes infousing Azure authenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept
More information provided by the system vendor
Apache IoTDBFujitsu Enterprise PostgresMicrosoft Azure AI SearchQuasardbSiteWhere
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Apache IoTDBFujitsu Enterprise PostgresMicrosoft Azure AI SearchQuasardbSiteWhere
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