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DBMS > GridDB vs. Hawkular Metrics vs. Prometheus vs. Rockset vs. SpaceTime

System Properties Comparison GridDB vs. Hawkular Metrics vs. Prometheus vs. Rockset vs. SpaceTime

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonRockset  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHawkular 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 systemA scalable, reliable search and analytics service in the cloud, built on RocksDBSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSDocument storeSpatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitegriddb.netwww.hawkular.orgprometheus.iorockset.comwww.mireo.com/­spacetime
Technical documentationdocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docsdocs.rockset.com
DeveloperToshiba CorporationCommunity supported by Red HatRocksetMireo
Initial release20132014201520192020
Current release5.1, August 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC++C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
hostedLinux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesNumeric data onlydynamic typingyes
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.nonono infoImport of XML data possibleno infoingestion from XML files supportedno
Secondary indexesyesnonoall fields are automatically indexedno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonoRead-only SQL queries, including JOINsA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTRESTful HTTP/JSON APIHTTP RESTRESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnonononono
Triggersyesyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingAutomatic shardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infoby FederationyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnononono
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.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per databasenonoAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
GridDBHawkular MetricsPrometheusRocksetSpaceTime
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBHawkular MetricsPrometheusRocksetSpaceTime
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