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DBMS > Apache IoTDB vs. H2GIS vs. Heroic vs. PostgreSQL vs. TDengine

System Properties Comparison Apache IoTDB vs. H2GIS vs. Heroic vs. PostgreSQL vs. TDengine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2GIS  Xexclude from comparisonHeroic  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTDengine  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 FlinkSpatial extension of H2Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTime Series DBMS and big data platform
Primary database modelTime Series DBMSSpatial DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteiotdb.apache.orgwww.h2gis.orggithub.com/­spotify/­heroicwww.postgresql.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2gis.org/­docs/­homespotify.github.io/­heroicwww.postgresql.org/­docsdocs.tdengine.com
DeveloperApache Software FoundationCNRSSpotifyPostgreSQL Global Development Group infowww.postgresql.org/­developerTDEngine, previously Taos Data
Initial release2018201320141989 info1989: Postgres, 1996: PostgreSQL2019
Current release1.1.0, April 202316.3, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaCC
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLSQL-like query languageyesnoyes infostandard with numerous extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
Native API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyes infobased on H2nouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infobased on H2yesSource-replica replication infoother methods possible by using 3rd party extensionsyes
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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyesyes infobased on H2fine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache IoTDBH2GISHeroicPostgreSQLTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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