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DBMS > Hawkular Metrics vs. Prometheus vs. SingleStore vs. SpaceTime

System Properties Comparison Hawkular Metrics vs. Prometheus vs. SingleStore vs. SpaceTime

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionHawkular 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 systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Websitewww.hawkular.orgprometheus.iowww.singlestore.comwww.mireo.com/­spacetime
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docsdocs.singlestore.com
DeveloperCommunity supported by Red HatSingleStore Inc.Mireo
Initial release2014201520132020
Current release8.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaGoC++, GoC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux info64 bit version requiredLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric 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.nono infoImport of XML data possiblenono
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysA subset of ANSI SQL is implemented
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infohash partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonoFine grained access control via users, groups and rolesyes
More information provided by the system vendor
Hawkular MetricsPrometheusSingleStore infoformer name was MemSQLSpaceTime
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Hawkular MetricsPrometheusSingleStore infoformer name was MemSQLSpaceTime
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