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DBMS > BigchainDB vs. FoundationDB vs. Graph Engine vs. SAP SQL Anywhere

System Properties Comparison BigchainDB vs. FoundationDB vs. Graph Engine vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOrdered 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 engineRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
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
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­apple/­foundationdbwww.graphengine.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbwww.graphengine.io/­docs/­manualhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperFoundationDBMicrosoftSAP infoformerly Sybase
Initial release2016201320101992
Current release6.2.28, November 202017, July 2015
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++.NET and C
Server operating systemsLinuxLinux
OS X
Windows
.NETAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyes
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 indexesnoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
F#
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyyesyes, in C/C++, Java, .Net or Perl
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standard

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More resources
BigchainDBFoundationDBGraph Engine infoformer name: TrinitySAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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