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DBMS > BigchainDB vs. FoundationDB vs. Linter vs. Memcached vs. Microsoft Access

System Properties Comparison BigchainDB vs. FoundationDB vs. Linter vs. Memcached vs. Microsoft Access

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonLinter  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.RDBMS for high security requirementsIn-memory key-value store, originally intended for cachingMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­apple/­foundationdblinter.ruwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­access
DeveloperFoundationDBrelex.ruDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20162013199020031992
Current release6.2.28, November 20201.6.25, March 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercialOpen Source infoBSD licensecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C and C++CC++
Server operating systemsLinuxLinux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-free infosome layers support schemasyesschema-freeyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesnoyes
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.nono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesnoyes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes infosince Access 2010 using the ACE-engine
Triggersnoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesnoyes infobut no files for transaction logging
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003

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More resources
BigchainDBFoundationDBLinterMemcachedMicrosoft Access
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