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DBMS > Hawkular Metrics vs. Ingres vs. OrigoDB vs. PostGIS vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. Ingres vs. OrigoDB vs. PostGIS vs. TimescaleDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIngres  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Well established RDBMSA fully ACID in-memory object graph databaseSpatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Spatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.hawkular.orgwww.actian.com/­databases/­ingresorigodb.compostgis.netwww.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.actian.com/­ingresorigodb.com/­docspostgis.net/­documentationdocs.timescale.com
DeveloperCommunity supported by Red HatActian CorporationRobert Friberg et alTimescale
Initial release20141974 infooriginally developed at University Berkely in early 1970s2009 infounder the name LiveDB20052017
Current release11.2, May 20223.4.2, February 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#CC
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infobut tools for importing/exporting data from/to XML-files availableno infocan be achieved using .NETyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyesyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning infoclient side managed; servers are not synchronizedyes infobased on PostgreSQLyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraIngres ReplicatorSource-replica replicationyes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based authorizationyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsIngresOrigoDBPostGISTimescaleDB
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