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DBMS > Citus vs. Hawkular Metrics vs. Prometheus vs. SpaceTime vs. Teradata Aster

System Properties Comparison Citus vs. Hawkular Metrics vs. Prometheus vs. SpaceTime vs. Teradata Aster

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonSpaceTime  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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.Open-source Time Series DBMS and monitoring systemSpaceTime is a spatio-temporal DBMS with a focus on performance.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.citusdata.comwww.hawkular.orgprometheus.iowww.mireo.com/­spacetime
Technical documentationdocs.citusdata.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperCommunity supported by Red HatMireoTeradata
Initial release20102014201520202005
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
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 languageCJavaGoC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
LinuxLinux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 functionalitynono infoImport of XML data possiblenoyes infoin Aster File Store
Secondary indexesyesnononoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoA subset of ANSI SQL is implementedyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononoR packages
Triggersyesyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingFixed-grid hypercubesSharding
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 infoby FederationReal-time block device replication (DRBD)yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
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-standardnonoyesfine grained access rights according to SQL-standard

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More resources
CitusHawkular MetricsPrometheusSpaceTimeTeradata Aster
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