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DBMS > Microsoft Access vs. Postgres-XL vs. Prometheus vs. Realm vs. Sqrrl

System Properties Comparison Microsoft Access vs. Postgres-XL vs. Prometheus vs. Realm vs. Sqrrl

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgprometheus.iorealm.iosqrrl.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationprometheus.io/­docsrealm.io/­docs
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.
Initial release19922014 infosince 2012, originally named StormDB201520142012
Current release1902 (16.0.11328.20222), March 201910 R1, October 2018
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Sourcecommercial
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 languageC++CGoJava
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.yes infoXML type, but no XML query functionalityno infoImport of XML data possibleno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionnonono
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infosince Access 2010 using the ACE-engineyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID infoMVCCnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realm
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Microsoft AccessPostgres-XLPrometheusRealmSqrrl
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