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DBMS > FoundationDB vs. Graph Engine vs. Hive vs. Hypertable

System Properties Comparison FoundationDB vs. Graph Engine vs. Hive vs. Hypertable

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonHypertable  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
Key-value store
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.graphengine.iohive.apache.org
Technical documentationapple.github.io/­foundationdbwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFoundationDBMicrosoftApache Software Foundation infoinitially developed by FacebookHypertable Inc.
Initial release2013201020122009
Current release6.2.28, November 20203.1.3, April 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaC++
Server operating systemsLinux
OS X
Windows
.NETAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-free infosome layers support schemasyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesno
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.no
Secondary indexesnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
C++ API
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyyesyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and rolesno

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More resources
FoundationDBGraph Engine infoformer name: TrinityHiveHypertable
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