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

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

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.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 assetsOrdered 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.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#202  Overall
#33  Document stores
Score1.66
Rank#148  Overall
#26  Document stores
#28  Key-value stores
#72  Relational DBMS
Score138.17
Rank#9  Overall
#6  Relational DBMS
Websitewww.bigchaindb.comwww.foundationdb.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbdeveloper.microsoft.com/­en-us/­access
DeveloperFoundationDBMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201319922012
Current release6.2.28, November 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
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 languagePythonC++C++Java
Server operating systemsLinuxLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or datenono infosome layers support typingyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyes infobut not compliant to any SQL standardno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
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 proceduresin SQL-layer onlyyes infosince Access 2010 using the ACE-engineno
Triggersnoyes 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 factoryesnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infobut no files for transaction loggingyes
User concepts infoAccess controlyesnono 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
BigchainDBFoundationDBMicrosoft AccessSqrrl
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