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DBMS > BigchainDB vs. BigObject vs. FoundationDB vs. Microsoft Access vs. Sphinx

System Properties Comparison BigchainDB vs. BigObject vs. FoundationDB vs. Microsoft Access vs. Sphinx

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBigObject  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 assetsAnalytic DBMS for real-time computations and queriesOrdered 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.)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.bigchaindb.combigobject.iogithub.com/­apple/­foundationdbwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.bigobject.ioapple.github.io/­foundationdbdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docs
DeveloperBigObject, Inc.FoundationDBMicrosoftSphinx Technologies Inc.
Initial release20162015201319922001
Current release6.2.28, November 20201902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infofree community edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++C++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyesno
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 indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementssupported in specific SQL layer onlyyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresLuain SQL-layer onlyyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesnonono infoa simple user-level security was built in till version Access 2003no

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More resources
BigchainDBBigObjectFoundationDBMicrosoft AccessSphinx
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