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DBMS > Hawkular Metrics vs. Rockset vs. Spark SQL vs. STSdb

System Properties Comparison Hawkular Metrics vs. Rockset vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.hawkular.orgrockset.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCommunity supported by Red HatRocksetApache Software FoundationSTS Soft SC
Initial release2014201920142011
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ScalaC#
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes infoprimitive types and user defined types (classes)
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 infoingestion from XML files supportedno
Secondary indexesnoall fields are automatically indexednono
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTHTTP RESTJDBC
ODBC
.NET Client API
Supported programming languagesGo
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnononono
Triggersyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraAutomatic shardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consolenono

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Hawkular MetricsRocksetSpark SQLSTSdb
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