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DBMS > Databend vs. Microsoft Access vs. Microsoft Azure AI Search vs. Microsoft SQL Server

System Properties Comparison Databend vs. Microsoft Access vs. Microsoft Azure AI Search vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  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.)Search-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score807.76
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.databend.comdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperDatabend LabsMicrosoftMicrosoftMicrosoft
Initial release2021199220151989
Current release1.0.59, April 20231902 (16.0.11328.20222), March 2019V1SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft Officecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageRustC++C++
Server operating systemshosted
Linux
macOS
Windows infoNot a real database server, but making use of DLLshostedLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
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 2003yes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
DatabendMicrosoft AccessMicrosoft Azure AI SearchMicrosoft SQL Server
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