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DBMS > DataFS vs. Hawkular Metrics vs. Teradata

System Properties Comparison DataFS vs. Hawkular Metrics vs. Teradata

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTeradata  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.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitenewdatabase.comwww.hawkular.orgwww.teradata.com
Technical documentationdev.mobiland.com/­Overview.xspwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.teradata.com
DeveloperMobiland AGCommunity supported by Red HatTeradata
Initial release201820141984
Current release1.1.263, October 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsWindowsLinux
OS X
Windows
hosted
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
VB.Net
Go
Java
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallel
Triggersno, except callback-events from server when changes happenedyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infobased on CassandraSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standard

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More resources
DataFSHawkular MetricsTeradata
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