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DBMS > BigchainDB vs. Memcached vs. Microsoft Access vs. RavenDB vs. Transwarp ArgoDB

System Properties Comparison BigchainDB vs. Memcached vs. Microsoft Access vs. RavenDB vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonTranswarp ArgoDB  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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelDocument storeKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitewww.bigchaindb.comwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwww.transwarp.cn/­en/­product/­argodb
Technical documentationbigchaindb.readthedocs.io/­en/­latestgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accessravendb.net/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftHibernating RhinosTranswarp
Initial release2016200319922010
Current release1.6.25, March 20241902 (16.0.11328.20222), March 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC++C#
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesnoyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardSQL-like query language (RQL)yes
APIs and other access methodsCLI Client
RESTful HTTP API
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes
Triggersnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDBnoyes infobut no files for transaction loggingyesyes
User concepts infoAccess controlyesyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per database

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More resources
BigchainDBMemcachedMicrosoft AccessRavenDBTranswarp ArgoDB
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