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DBMS > Microsoft Access vs. Oracle Rdb vs. Postgres-XL vs. Sequoiadb vs. Sqrrl

System Properties Comparison Microsoft Access vs. Oracle Rdb vs. Postgres-XL vs. Sequoiadb vs. Sqrrl

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSequoiadb  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 featuresNewSQL database with distributed OLTP and SQLAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Document 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
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.postgres-xl.orgwww.sequoiadb.comsqrrl.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.postgres-xl.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Sequoiadb Ltd.Amazon infooriginally Sqrrl Data, Inc.
Initial release199219842014 infosince 2012, originally named StormDB20132012
Current release1902 (16.0.11328.20222), March 20197.4.1.1, 202110 R1, October 2018
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoMozilla public licenseOpen Source infoServer: AGPL; Client: Apache V2commercial
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++CC++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLsHP Open VMSLinux
macOS
LinuxLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesyes infodistributed, parallel query executionSQL-like query languageno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSONAccumulo 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++
Java
PHP
Python
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 functionsJavaScriptno
Triggersyes infosince Access 2010 using the ACE-engineyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable 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 ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingyes, on a single nodeACID infoMVCCDocument is locked during a transactionAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardsimple password-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Microsoft AccessOracle RdbPostgres-XLSequoiadbSqrrl
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