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DBMS > GridGain vs. Splice Machine vs. Splunk vs. Stardog

System Properties Comparison GridGain vs. Splice Machine vs. Splunk vs. Stardog

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value store
Relational DBMS
Relational DBMSSearch engineGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gridgain.comsplicemachine.comwww.splunk.comwww.stardog.com
Technical documentationwww.gridgain.com/­docs/­index.htmlsplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunkdocs.stardog.com
DeveloperGridGain Systems, Inc.Splice MachineSplunk Inc.Stardog-Union
Initial release2007201420032010
Current releaseGridGain 8.5.13.1, March 20217.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++, .NetJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesno infoSplunk Search Processing Language for search commandsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoJavayesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)yesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Multi-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)Yes, via Full Spark Integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesAccess rights for users and roles

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More resources
GridGainSplice MachineSplunkStardog
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