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

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

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonIRONdb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.IRONdb seems to be discontinued. Therefore it is excluded 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft 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 storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­apple/­foundationdbwww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­access
DeveloperFoundationDBCirconus LLC.Microsoft
Initial release2016201320171992
Current release6.2.28, November 2020V0.10.20, January 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C and C++C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or datenono infosome layers support typingyes infotext, numeric, histogramsyes
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 indexesnonoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresin SQL-layer onlyyes, in Luayes infosince Access 2010 using the ACE-engine
Triggersnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesnonono infoa simple user-level security was built in till version Access 2003

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More resources
BigchainDBFoundationDBIRONdbMicrosoft Access
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