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DBMS > Hawkular Metrics vs. RethinkDB vs. Rockset vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison Hawkular Metrics vs. RethinkDB vs. Rockset vs. SAP SQL Anywhere vs. Spark SQL

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonRethinkDB  Xexclude from comparisonRockset  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A scalable, reliable search and analytics service in the cloud, built on RocksDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.hawkular.orgrethinkdb.comrockset.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderethinkdb.com/­docsdocs.rockset.comhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCommunity supported by Red HatThe Linux Foundation infosince July 2017RocksetSAP infoformerly SybaseApache Software Foundation
Initial release20142009201919922014
Current release2.4.1, August 202017, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrydynamic typingyesyes
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 infoingestion from XML files supportedyesno
Secondary indexesnoyesall fields are automatically indexedyesno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsyesSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTHTTP RESTADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or Perlno
Triggersyes infovia Hawkular AlertingClient-side triggers through changefeedsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding inforange basedAutomatic shardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyesyes
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.nonoyesno
User concepts infoAccess controlnoyes infousers and table-level permissionsAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsRethinkDBRocksetSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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