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DBMS > GridGain vs. Hawkular Metrics vs. LokiJS vs. MarkLogic vs. SiriDB

System Properties Comparison GridGain vs. Hawkular Metrics vs. LokiJS vs. MarkLogic vs. SiriDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonSiriDB  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.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseOpen Source Time Series DBMS
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.93
Rank#129  Overall
#24  Key-value stores
#63  Relational DBMS
Score0.02
Rank#335  Overall
#31  Time Series DBMS
Score0.59
Rank#225  Overall
#35  Document stores
Score9.34
Rank#51  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.00
Rank#353  Overall
#33  Time Series DBMS
Websitewww.gridgain.comwww.hawkular.orggithub.com/­techfort/­LokiJSwww.marklogic.comsiridb.net
Technical documentationwww.gridgain.com/­docs/­latestwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSdocs.marklogic.comdocs.siridb.net
DeveloperGridGain Systems, Inc.Community supported by Red HatMarkLogic Corp.Transceptor Technology
Initial release20072014201420012017
Current releaseGridGain 8.5.19.0, 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial inforestricted free version is availableOpen Source infoMIT License
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++, .NetJavaJavaScriptC++C
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoNumeric data
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.yesnonoyesno
Secondary indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes infoSQL92no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noView functions in JavaScriptyes infovia XQuery or JavaScriptno
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on Cassandranoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, with Range Indexesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole-based access control at the document and subdocument levelssimple rights management via user accounts
More information provided by the system vendor
GridGainHawkular MetricsLokiJSMarkLogicSiriDB
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
GridGainHawkular MetricsLokiJSMarkLogicSiriDB
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