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DBMS > Microsoft Access vs. Oracle NoSQL vs. Oracle Rdb vs. Sphinx vs. YTsaurus

System Properties Comparison Microsoft Access vs. Oracle NoSQL vs. Oracle Rdb vs. Sphinx vs. YTsaurus

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparisonYTsaurus  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 multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen source search engine for searching in data from different sources, e.g. relational databasesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSSearch engineDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.comytsaurus.tech
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docsytsaurus.tech/­docs/­en
DeveloperMicrosoftOracleOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.Yandex
Initial release19922011198420012023
Current release1902 (16.0.11328.20222), March 201923.3, December 20237.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License, Version 2.0
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++JavaC++C++
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
Solaris SPARC/x86
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Ubuntu
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.Flexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
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.nonono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infobut not compliant to any SQL standardSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)YQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenono
Triggersyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingconfigurable infoACID within a storage node (=shard)yes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesnoAccess Control Lists

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More resources
Microsoft AccessOracle NoSQLOracle RdbSphinxYTsaurus
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