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DBMS > MonetDB vs. Oracle Berkeley DB vs. RavenDB vs. Splunk

System Properties Comparison MonetDB vs. Oracle Berkeley DB vs. RavenDB vs. Splunk

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRavenDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsWidely used in-process key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAnalytics 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 storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlravendb.netwww.splunk.com
Technical documentationwww.monetdb.org/­Documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperMonetDB BVOracle infooriginally developed by Sleepycat, which was acquired by OracleHibernating RhinosSplunk Inc.
Initial release2004199420102003
Current releaseDec2023 (11.49), December 202318.1.40, May 20205.4, July 2022
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infocommercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial 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 languageCC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 editionyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infoSQL interfaced based on SQLite is availableSQL-like query language (RQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, Rnoyesyes
Triggersyesyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableno 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthorization levels configured per client per databaseAccess rights for users and roles

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MonetDBOracle Berkeley DBRavenDBSplunk
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