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DBMS > BigchainDB vs. IBM Db2 Event Store vs. Memcached vs. Microsoft Access vs. Riak KV

System Properties Comparison BigchainDB vs. IBM Db2 Event Store vs. Memcached vs. Microsoft Access vs. Riak KV

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed Event Store optimized for Internet of Things use casesIn-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 storeEvent Store
Time Series DBMS
Key-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
Score0.86
Rank#210  Overall
#36  Document stores
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score20.81
Rank#32  Overall
#4  Key-value stores
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score4.95
Rank#76  Overall
#9  Key-value stores
Websitewww.bigchaindb.comwww.ibm.com/­products/­db2-event-storewww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accesswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperIBMDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftOpenSource, formerly Basho Technologies
Initial release20162017200319922009
Current release2.01.6.25, March 20241902 (16.0.11328.20222), March 20193.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infofree developer edition availableOpen Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++CC++Erlang
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.nonono
Secondary indexesnonoyesrestricted
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoyes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.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 proceduresyesnoyes infosince Access 2010 using the ACE-engineErlang
Triggersnonoyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationnone infoRepcached, a Memcached patch, provides this functionallitynoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDBYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagenoyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesfine 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 2003yes, using Riak Security

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More resources
BigchainDBIBM Db2 Event StoreMemcachedMicrosoft AccessRiak KV
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