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DBMS > GeoSpock vs. GridGain vs. Hawkular Metrics vs. LokiJS vs. Netezza

System Properties Comparison GeoSpock vs. GridGain vs. Hawkular Metrics vs. LokiJS vs. Netezza

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGridGain 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 DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS
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
Score0.48
Rank#262  Overall
#42  Document stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitegeospock.comwww.gridgain.comwww.hawkular.orggithub.com/­techfort/­LokiJSwww.ibm.com/­products/­netezza
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJS
DeveloperGeoSpockGridGain Systems, Inc.Community supported by Red HatIBM
Initial release2007201420142000
Current release2.0, September 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava, C++, .NetJavaJavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux infoincluded in appliance
Data schemeyesyesschema-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.noyesnono
Secondary indexestemporal, categoricalyesnoyes infovia viewsyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJavaScript APIJDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noView functions in JavaScriptyes
Triggersnoyes (cache interceptors and events)yes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandranoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoatomic operations within a single collection possibleACID
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.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsnonoUsers with fine-grained authorization concept

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More resources
GeoSpockGridGainHawkular MetricsLokiJSNetezza infoAlso called PureData System for Analytics by IBM
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