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DBMS > Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. Stardog

System Properties Comparison Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Prometheus vs. Stardog

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPrometheus  Xexclude from comparisonStardog  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.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-source Time Series DBMS and monitoring systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticsprometheus.iowww.stardog.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticsprometheus.io/­docsdocs.stardog.com
DeveloperMicrosoftMicrosoftStardog-Union
Initial release1992201620152010
Current release1902 (16.0.11328.20222), March 20197.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++GoJava
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno infoImport/export of XML data possible
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineTransact SQLnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infosince Access 2010 using the ACE-enginenonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoby FederationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDnoACID
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
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003yesnoAccess rights for users and roles

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More resources
Microsoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePrometheusStardog
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