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DBMS > GridGain vs. Splunk vs. Stardog vs. Yaacomo

System Properties Comparison GridGain vs. Splunk vs. Stardog vs. Yaacomo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSplunk  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAnalytics Platform for Big DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Relational DBMS
Search engineGraph DBMS
RDF store
Relational DBMS
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
Score89.10
Rank#14  Overall
#2  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gridgain.comwww.splunk.comwww.stardog.comyaacomo.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.splunk.com/­Documentation/­Splunkdocs.stardog.com
DeveloperGridGain Systems, Inc.Splunk Inc.Stardog-UnionQ2WEB GmbH
Initial release2007200320102009
Current releaseGridGain 8.5.17.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoLimited free edition and free developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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++, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Android
Linux
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
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 possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLno infoSplunk Search Processing Language for search commandsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
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)yesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)yesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACIDACID
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.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GridGainSplunkStardogYaacomo
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