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DBMS > BigchainDB vs. dBASE vs. Microsoft Access vs. Realm vs. Sphinx

System Properties Comparison BigchainDB vs. dBASE vs. Microsoft Access vs. Realm vs. Sphinx

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.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.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSRelational DBMSDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.bigchaindb.comwww.dbase.comwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.iosphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedeveloper.microsoft.com/­en-us/­accessrealm.io/­docssphinxsearch.com/­docs
DeveloperAsthon TateMicrosoftRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release20161979199220142001
Current releasedBASE 2019, 20191902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infobut no files for transaction loggingyesyes 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 infoIn-Memory realm
User concepts infoAccess controlyesAccess rights for users and rolesno infoa simple user-level security was built in till version Access 2003yesno

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More resources
BigchainDBdBASEMicrosoft AccessRealmSphinx
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