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DBMS > DataFS vs. Teradata vs. TimescaleDB vs. TinkerGraph

System Properties Comparison DataFS vs. Teradata vs. TimescaleDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonTeradata  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTinkerGraph  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.A hybrid cloud data analytics software platform (Teradata Vantage)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitenewdatabase.comwww.teradata.comwww.timescale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspdocs.teradata.comdocs.timescale.com
DeveloperMobiland AGTeradataTimescale
Initial release2018198420172009
Current release1.1.263, October 2022Teradata Vantage 1.0 MU2, January 20192.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsWindowshosted
Linux
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)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesyesno
Secondary indexesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesno
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsyes infofull PostgreSQL SQL syntaxno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Groovy
Java
Server-side scripts infoStored proceduresyes infoUDFs, stored procedures, table functions in paralleluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersno, except callback-events from server when changes happenedyesyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoHashingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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DataFSTeradataTimescaleDBTinkerGraph
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