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DBMS > Hawkular Metrics vs. IBM Db2 vs. MonetDB vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison Hawkular Metrics vs. IBM Db2 vs. MonetDB vs. SAP SQL Anywhere vs. Splunk

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMonetDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Common in IBM host environments, 2 different versions for host and Windows/LinuxA relational database management system that stores data in columnsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big Data
Primary database modelTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#297  Overall
#23  Time Series DBMS
Score168.70
Rank#6  Overall
#5  Relational DBMS
Score1.81
Rank#117  Overall
#57  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Score88.67
Rank#12  Overall
#2  Search engines
Websitewww.hawkular.orgwww.ibm.com/­analytics/­db2www.monetdb.orgwww.sap.com/­products/­sql-anywhere.htmlwww.splunk.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­support/­knowledgecenter/­SSEPGGwww.monetdb.org/­Documentationhelp.sap.com/­sql-anywheredocs.splunk.com/­Documentation/­Splunk
DeveloperCommunity supported by Red HatIBMMonetDB BVSAP infoformerly SybaseSplunk Inc.
Initial release20141983 infohost version200419922003
Current release12.1, October 2016Nov2019-SP1, December 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree version is availableOpen Source infoMozilla Public License 2.0commercialcommercial infoLimited free edition and free developer edition available
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 languageJavaC and C++C
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsHTTP RESTADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes, in SQL, C, Ryes, in C/C++, Java, .Net or Perlyes
Triggersyes infovia Hawkular Alertingyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoonly with Windows/Unix/Linux VersionSharding via remote tablesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infowith separate tools (MQ, InfoSphere)none infoMaster-slave replication available in experimental statusMaster-slave replication infoDatabase mirroringMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Hawkular MetricsIBM Db2 infoformerly named DB2 or IBM Database 2MonetDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

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3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
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Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

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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 MetricsIBM Db2 infoformerly named DB2 or IBM Database 2MonetDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
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