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DBMS > Apache Doris vs. Apache IoTDB vs. Microsoft Access vs. Microsoft SQL Server

System Properties Comparison Apache Doris vs. Apache IoTDB vs. Microsoft Access vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache IoTDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMicrosoft 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.)Microsofts flagship relational DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#108  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
iotdb.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.microsoft.com/­en-us/­sql-server
Technical documentationgithub.com/­apache/­doris/­wikiiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationMicrosoftMicrosoft
Initial release2017201819921989
Current release1.2.2, February 20231.1.0, April 20231902 (16.0.11328.20222), March 2019SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoBundled with Microsoft Officecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)Windows infoNot a real database server, but making use of DLLsLinux
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBC
MySQL client
JDBC
Native API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyesyes infosince Access 2010 using the ACE-engineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Apache DorisApache IoTDBMicrosoft AccessMicrosoft SQL Server
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