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DBMS > BigchainDB vs. Memcached vs. Microsoft Access vs. Riak KV

System Properties Comparison BigchainDB vs. Memcached vs. Microsoft Access vs. Riak KV

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsIn-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.)Distributed, fault tolerant key-value store
Primary database modelDocument storeKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#200  Overall
#32  Document stores
Score24.95
Rank#33  Overall
#4  Key-value stores
Score143.44
Rank#9  Overall
#6  Relational DBMS
Score6.63
Rank#64  Overall
#8  Key-value stores
Websitewww.bigchaindb.comwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­accessriak.com/­products/­riak-kv
Technical documentationbigchaindb.readthedocs.io/­en/­latestgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­access
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftBasho Technologies
Initial release2016200319922009
Current release1.6.15, March 20221902 (16.0.11328.20222), March 20192.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC++Erlang
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesno
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 indexesnoyesrestricted
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJavaScript and Erlang
Triggersnoyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallitynoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDBnoyes infobut no files for transaction loggingyes
User concepts infoAccess controlyesyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003no

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More resources
BigchainDBMemcachedMicrosoft AccessRiak KV
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