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DBMS > Greenplum vs. Hawkular Metrics vs. Ignite vs. Kinetica vs. LokiJS

System Properties Comparison Greenplum vs. Hawkular Metrics vs. Ignite vs. Kinetica vs. LokiJS

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUsIn-memory JavaScript DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websitegreenplum.orgwww.hawkular.orgignite.apache.orgwww.kinetica.comgithub.com/­techfort/­LokiJS
Technical documentationdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsdocs.kinetica.comtechfort.github.io/­LokiJS
DeveloperPivotal Software Inc.Community supported by Red HatApache Software FoundationKinetica
Initial release20052014201520122014
Current release7.0.0, September 2023Apache Ignite 2.67.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source
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 languageJavaC++, Java, .NetC, C++JavaScript
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yes infosince Version 4.2noyesnono
Secondary indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
HTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JavaScript API
Supported programming languagesC
Java
Perl
Python
R
Go
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)user defined functionsView functions in JavaScript
Triggersyesyes infovia Hawkular Alertingyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSecurity Hooks for custom implementationsAccess rights for users and roles on table levelno

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More resources
GreenplumHawkular MetricsIgniteKineticaLokiJS
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