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DBMS > Hawkular Metrics vs. HBase vs. OpenTSDB vs. Postgres-XL

System Properties Comparison Hawkular Metrics vs. HBase vs. OpenTSDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable Time Series DBMS based on HBaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.hawkular.orghbase.apache.orgopentsdb.netwww.postgres-xl.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlopentsdb.net/­docs/­build/­html/­index.htmlwww.postgres-xl.org/­documentation
DeveloperCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by Powersetcurrently maintained by Yahoo and other contributors
Initial release2014200820112014 infosince 2012, originally named StormDB
Current release2.3.4, January 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoLGPLOpen Source infoMozilla public license
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.
Implementation languageJavaJavaJavaC
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Linux
macOS
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnumeric data for metrics, strings for tagsyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
Thrift
HTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Erlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanouser defined functions
Triggersyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
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 Consistency or Eventual ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACID infoMVCC
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.noyesnono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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More resources
Hawkular MetricsHBaseOpenTSDBPostgres-XL
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