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DBMS > GridGain vs. Prometheus vs. Splunk vs. STSdb

System Properties Comparison GridGain vs. Prometheus vs. Splunk vs. STSdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen-source Time Series DBMS and monitoring systemAnalytics Platform for Big DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Relational DBMS
Time Series DBMSSearch engineKey-value 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
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.gridgain.comprometheus.iowww.splunk.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­index.htmlprometheus.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperGridGain Systems, Inc.Splunk Inc.STS Soft SC
Initial release2007201520032011
Current releaseGridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoGPLv2, commercial license 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++, .NetGoC#
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes infoprimitive types and user defined types (classes)
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.yesno infoImport of XML data possibleyes
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono infoSplunk Search Processing Language for search commandsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIHTTP REST.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoby FederationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingno
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights for users and rolesno

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More resources
GridGainPrometheusSplunkSTSdb
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