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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDragonfly  Xexclude from comparisonH2GIS  Xexclude from comparisonHeroic  Xexclude from comparisonPostgreSQL  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 FlinkA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpatial 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 SQL
Primary database modelTime Series DBMSKey-value storeSpatial DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
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
Websiteiotdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2gis.orggithub.com/­spotify/­heroicwww.postgresql.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.dragonflydb.io/­docswww.h2gis.org/­docs/­homespotify.github.io/­heroicwww.postgresql.org/­docs
DeveloperApache Software FoundationDragonflyDB team and community contributorsCNRSSpotifyPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20182023201320141989 info1989: Postgres, 1996: PostgreSQL
Current release1.1.0, April 20231.0, March 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaC++JavaJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesscheme-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes infostandard with numerous extensions
APIs and other access methodsJDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocolHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesLuayes infobased on H2nouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyespublish/subscribe channels provide some trigger functionalityyesnoyes
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 hash
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 infobased on H2yesSource-replica replication infoother methods possible by using 3rd party extensions
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
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yesyes
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.yesyesyesnono
User concepts infoAccess controlyesPassword-based authenticationyes infobased on H2fine grained access rights according to SQL-standard

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Apache IoTDBDragonflyH2GISHeroicPostgreSQL
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