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DBMS > Citus vs. Hawkular Metrics vs. PostGIS vs. TimescaleDB vs. Trafodion

System Properties Comparison Citus vs. Hawkular Metrics vs. PostGIS vs. TimescaleDB vs. Trafodion

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Spatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.citusdata.comwww.hawkular.orgpostgis.netwww.timescale.comtrafodion.apache.org
Technical documentationdocs.citusdata.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepostgis.net/­documentationdocs.timescale.comtrafodion.apache.org/­documentation.html
DeveloperCommunity supported by Red HatTimescaleApache Software Foundation, originally developed by HP
Initial release20102014200520172014
Current release8.1, December 20183.4.2, February 20242.13.0, November 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCCC++, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yes infospecific XML type available, but no XML query functionalitynoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellJava Stored Procedures
Triggersyesyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infobased on PostgreSQLyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on Cassandrayes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas infoyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infobased on PostgreSQLfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CitusHawkular MetricsPostGISTimescaleDBTrafodion
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