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DBMS > Elasticsearch vs. OpenQM vs. OrigoDB

System Properties Comparison Elasticsearch vs. OpenQM vs. OrigoDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph database
Primary database modelSearch engineMultivalue DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score158.25
Rank#8  Overall
#1  Search engines
Score0.39
Rank#254  Overall
#10  Multivalue DBMS
Score0.00
Rank#353  Overall
#52  Document stores
#20  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchwww.openqm.comorigodb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.openqm.com/­support/­documentationorigodb.com/­docs
DeveloperElasticMartin PhillipsRobert Friberg et al
Initial release201019932009 infounder the name LiveDB
Current release7.8.0, June 20203.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPLv2, extended commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemsAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collections
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.noyesno infocan be achieved using .NET
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Server-side scripts infoStored proceduresyesyesyes
Triggersyes infoby using the 'percolation' featureyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlAccess rights can be defined down to the item levelRole based authorization

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More resources
ElasticsearchOpenQM infoalso called QMOrigoDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Recent citations in the news

Scaling Elasticsearch Percolation for Government Data | by Jake Sager | FiscalNoteworthy | Oct, 2021
22 October 2021, Medium

How to install the Elasticsearch analytics engine with a handy GUI on AlmaLinux
7 October 2021, TechRepublic

Webinar: How to secure your sensitive data in Elasticsearch
13 October 2021, Help Net Security

Elastic’s Shay Banon: Why we went beyond our search roots—and stood up to ‘bully’ AWS
25 October 2021, InfoWorld

Elastic Showcases How Customers Solve Data Challenges with the Power of Search at ElasticON Global Virtual Conference
7 October 2021, Business Wire

provided by Google News

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

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