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DBMS > GridGain vs. MonetDB vs. RavenDB vs. Splunk

System Properties Comparison GridGain vs. MonetDB vs. RavenDB vs. Splunk

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAnalytics Platform for Big Data
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.gridgain.comwww.monetdb.orgravendb.netwww.splunk.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperGridGain Systems, Inc.MonetDB BVHibernating RhinosSplunk Inc.
Initial release2007200420102003
Current releaseGridGain 8.5.1Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCC#
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsSQL-like query language (RQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
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
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ryesyes
Triggersyes (cache interceptors and events)yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault 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 integritynoyesnono
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 datayesyesyesyes
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 controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseAccess rights for users and roles

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More resources
GridGainMonetDBRavenDBSplunk
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