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DBMS > Databend vs. Microsoft Access vs. mSQL vs. Sphinx vs. SQLite

System Properties Comparison Databend vs. Microsoft Access vs. mSQL vs. Sphinx vs. SQLite

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMicrosoft 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.)mSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.microsoft.com/­en-us/­microsoft-365/­accesshughestech.com.au/­products/­msqlsphinxsearch.comwww.sqlite.org
Technical documentationdocs.databend.comdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docswww.sqlite.org/­docs.html
DeveloperDatabend LabsMicrosoftHughes TechnologiesSphinx Technologies Inc.Dwayne Richard Hipp
Initial release20211992199420012000
Current release1.0.59, April 20231902 (16.0.11328.20222), March 20194.4, October 20213.5.1, February 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft Officecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availableOpen Source infoPublic Domain
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 languageRustC++CC++C
Server operating systemshosted
Linux
macOS
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less
Data schemeyesyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Proprietary protocolADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenonono
Triggersnoyes infosince Access 2010 using the ACE-enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoa simple user-level security was built in till version Access 2003nonono

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More resources
DatabendMicrosoft AccessmSQL infoMini SQLSphinxSQLite
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