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DBMS > Microsoft Access vs. Microsoft Azure Table Storage vs. MonetDB vs. QuestDB

System Properties Comparison Microsoft Access vs. Microsoft Azure Table Storage vs. MonetDB vs. QuestDB

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionMicrosoft 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 Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsA high performance open source SQL database for time series data
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgquestdb.io
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperMicrosoftMicrosoftMonetDB BVQuestDB Technology Inc
Initial release1992201220042014
Current release1902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava (Zero-GC), C++, Rust
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
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.nono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnoyes infoSQL 2003 with some extensionsSQL with time-series extensions
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenoyes, in SQL, C, Rno
Triggersyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingoptimistic lockingACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped files
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft AccessMicrosoft Azure Table StorageMonetDBQuestDB
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More resources
Microsoft AccessMicrosoft Azure Table StorageMonetDBQuestDB
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