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DBMS > DataFS vs. FoundationDB vs. Hypertable vs. Teradata

System Properties Comparison DataFS vs. FoundationDB vs. Hypertable vs. Teradata

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFoundationDB  Xexclude from comparisonHypertable  Xexclude from comparisonTeradata  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.Ordered key-value store. Core features are complimented by layers.An open source BigTable implementation based on distributed file systems such as HadoopA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational 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
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitenewdatabase.comgithub.com/­apple/­foundationdbwww.teradata.com
Technical documentationdev.mobiland.com/­Overview.xspapple.github.io/­foundationdbdocs.teradata.com
DeveloperMobiland AGFoundationDBHypertable Inc.Teradata
Initial release2018201320091984
Current release1.1.263, October 20226.2.28, November 20200.9.8.11, March 2016Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsWindowsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
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-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingnoyes
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.noyes
Secondary indexesnonorestricted infoonly exact value or prefix value scansyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
C++ API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynoyes infoUDFs, stored procedures, table functions in parallel
Triggersno, except callback-events from server when changes happenednonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyes
User concepts infoAccess controlWindows-Profilenonofine grained access rights according to SQL-standard

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More resources
DataFSFoundationDBHypertableTeradata
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