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DBMS > BigchainDB vs. Dolt vs. FoundationDB vs. Microsoft Access

System Properties Comparison BigchainDB vs. Dolt vs. FoundationDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDolt  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA MySQL compatible DBMS with Git-like versioning of data and schemaOrdered key-value store. Core features are complimented by layers.Microsoft 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.)
Primary database modelDocument storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­apple/­foundationdbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.dolthub.comapple.github.io/­foundationdbdeveloper.microsoft.com/­en-us/­access
DeveloperDoltHub IncFoundationDBMicrosoft
Initial release2016201820131992
Current release6.2.28, November 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infoBundled with Microsoft Office
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 languagePythonGoC++C++
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyes
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 indexesyesnoyes
SQL infoSupport of SQLnoyessupported in specific SQL layer onlyyes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
RESTful HTTP API
CLI Client
HTTP REST
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infocurrently in alpha releasein SQL-layer onlyyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infobut no files for transaction logging
User concepts infoAccess controlyesOnly one user is configurable, and must be specified in the config file at startupnono infoa simple user-level security was built in till version Access 2003

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More resources
BigchainDBDoltFoundationDBMicrosoft Access
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