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DBMS > Apache IoTDB vs. Drizzle vs. GeoSpock vs. PostgreSQL vs. SQL.JS

System Properties Comparison Apache IoTDB vs. Drizzle vs. GeoSpock vs. PostgreSQL vs. SQL.JS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPort of SQLite to JavaScript
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsTime Series 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteiotdb.apache.orggeospock.comwww.postgresql.orgsql.js.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.postgresql.org/­docssql.js.org/­documentation/­index.html
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerGeoSpockPostgreSQL Global Development Group infowww.postgresql.org/­developerAlon Zakai infoenhancements implemented by others
Initial release201820081989 info1989: Postgres, 1996: PostgreSQL2012
Current release1.1.0, April 20237.2.4, September 20122.0, September 201916.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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Implementation languageJavaC++Java, JavascriptCJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsANSI SQL for query only (using Presto)yes infostandard with numerous extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
Native API
JDBCJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresyesnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingAutomatic shardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsnone
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 Consistencynone
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablefine grained access rights according to SQL-standardno

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Apache IoTDBDrizzleGeoSpockPostgreSQLSQL.JS
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