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DBMS > Apache IoTDB vs. Fujitsu Enterprise Postgres vs. H2 vs. Microsoft Azure Table Storage

System Properties Comparison Apache IoTDB vs. Fujitsu Enterprise Postgres vs. H2 vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Table Storage  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelTime Series DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteiotdb.apache.orgwww.postgresql.fastware.comwww.h2database.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.html
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerMicrosoft
Initial release201820052012
Current release1.1.0, April 2023Fujitsu Enterprise Postgres 14, January 20222.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
All OS with a Java VMhosted
Data schemeyesyesyesschema-free
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsJava Stored Procedures and User-Defined Functionsno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)partitioning by range, list and by hashnoneSharding infoImplicit feature of the cloud service
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 replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Apache IoTDBFujitsu Enterprise PostgresH2Microsoft Azure Table Storage
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 PostgresH2Microsoft Azure Table Storage
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