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DBMS > DataFS vs. Hawkular Metrics vs. HBase vs. Warp 10

System Properties Comparison DataFS vs. Hawkular Metrics vs. HBase vs. Warp 10

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAll 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 BigTableTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelObject 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
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitenewdatabase.comwww.hawkular.orghbase.apache.orgwww.warp10.io
Technical documentationdev.mobiland.com/­Overview.xspwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperMobiland AGCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetSenX
Initial release2018201420082015
Current release1.1.263, October 20222.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsWindowsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeClasses, 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 dateyesyesoptions to bring your own types, AVROyes
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.nononono
Secondary indexesnononono
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP RESTJava API
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C#
C++
VB.Net
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes infoWarpScript
Triggersno, except callback-events from server when changes happenedyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infobased on CassandraShardingSharding infobased on HBase
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 methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)no
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.nonoyesyes
User concepts infoAccess controlWindows-ProfilenoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DataFSHawkular MetricsHBaseWarp 10
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