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DBMS > Apache Phoenix vs. DataFS vs. Hawkular Metrics vs. HBase vs. OpenTSDB

System Properties Comparison Apache Phoenix vs. DataFS vs. Hawkular Metrics vs. HBase vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Hawkular 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 HBase
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitephoenix.apache.orgnewdatabase.comwww.hawkular.orghbase.apache.orgopentsdb.net
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xspwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationMobiland AGCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by Powersetcurrently maintained by Yahoo and other contributors
Initial release20142018201420082011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 20222.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
Unix
Windows
WindowsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROnumeric data for metrics, strings for tags
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.nonononono
Secondary indexesyesnononono
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
HTTP RESTJava API
RESTful HTTP API
Thrift
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infoCoprocessors in Javano
Triggersnono, except callback-events from server when changes happenedyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable 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 methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoSingle row ACID (across millions of columns)no
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.yesnonoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfilenoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Apache PhoenixDataFSHawkular MetricsHBaseOpenTSDB
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