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DBMS > BigchainDB vs. IBM Cloudant vs. Microsoft Access vs. Sqrrl

System Properties Comparison BigchainDB vs. IBM Cloudant vs. Microsoft Access vs. Sqrrl

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatabase as a Service offering based on Apache CouchDBMicrosoft 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.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.bigchaindb.comwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.ibm.com/­docs/­Cloudantdeveloper.microsoft.com/­en-us/­access
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201019922012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonErlangC++Java
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes 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.no
User concepts infoAccess controlyesAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BigchainDBIBM CloudantMicrosoft AccessSqrrl
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