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DBMS > BigchainDB vs. Microsoft Access vs. MongoDB

System Properties Comparison BigchainDB vs. Microsoft Access vs. MongoDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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.)One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#193  Overall
#30  Document stores
Score116.38
Rank#11  Overall
#7  Relational DBMS
Score493.55
Rank#5  Overall
#1  Document stores
Websitewww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accessdocs.mongodb.com/­manual
DeveloperMicrosoftMongoDB, Inc
Initial release201619922009
Current release1902 (16.0.11328.20222), March 20195.0, July 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003Access rights for users and roles
More information provided by the system vendor
BigchainDBMicrosoft AccessMongoDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
BigchainDBMicrosoft AccessMongoDB
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Conferences and events

MongoDB & Google Cloud Developer Summit
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MongoDB.Local London
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Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

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