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DBMS > GridGain vs. Hawkular Metrics vs. Hazelcast vs. LokiJS vs. Splunk

System Properties Comparison GridGain vs. Hawkular Metrics vs. Hazelcast vs. LokiJS vs. Splunk

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonLokiJS  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridIn-memory JavaScript DBMSAnalytics Platform for Big Data
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value storeDocument storeSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score0.48
Rank#262  Overall
#42  Document stores
Score88.71
Rank#14  Overall
#2  Search engines
Websitewww.gridgain.comwww.hawkular.orghazelcast.comgithub.com/­techfort/­LokiJSwww.splunk.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docstechfort.github.io/­LokiJSdocs.splunk.com/­Documentation/­Splunk
DeveloperGridGain Systems, Inc.Community supported by Red HatHazelcastSplunk Inc.
Initial release20072014200820142003
Current releaseGridGain 8.5.15.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaJavaScript
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnoyes infothe object must implement a serialization strategynoyes
Secondary indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
JavaScript APIHTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoEvent Listeners, Executor ServicesView functions in JavaScriptyes
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on Cassandrayes infoReplicated MapnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a single collection possibleno 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 infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole-based access controlnoAccess rights for users and roles

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More resources
GridGainHawkular MetricsHazelcastLokiJSSplunk
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