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DBMS > Microsoft Access vs. Oracle Berkeley DB vs. Oracle NoSQL vs. Splunk

System Properties Comparison Microsoft Access vs. Oracle Berkeley DB vs. Oracle NoSQL vs. Splunk

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSplunk  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.)Widely used in-process key-value storeA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesAnalytics Platform for Big Data
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Key-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.splunk.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleOracleSplunk Inc.
Initial release1992199420112003
Current release1902 (16.0.11328.20222), March 201918.1.40, May 202024.1, May 2024
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infocommercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsWindows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Solaris SPARC/x86
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesnooptionalyes
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 infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commands
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIHTTP REST
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenonoyes
Triggersyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDconfigurable infoACID within a storage node (=shard)no infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infooff heap cacheno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003noAccess rights for users and rolesAccess rights for users and roles

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Microsoft AccessOracle Berkeley DBOracle NoSQLSplunk
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