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DBMS > Elasticsearch vs. MarkLogic

System Properties Comparison Elasticsearch vs. MarkLogic

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Our visitors often compare Elasticsearch and MarkLogic with MongoDB, Cassandra and Neo4j.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMarkLogic  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 metricOperational and transactional Enterprise NoSQL database
Primary database modelSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score138.12
Rank#8  Overall
#1  Search engines
Score11.21
Rank#37  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websitewww.elastic.co/­products/­elasticsearchwww.marklogic.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.marklogic.com
DeveloperElasticMarkLogic Corp.
Initial release20102001
Current release6.3.1, July 20189.0, 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial inforestricted free version is available
Cloud-based infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a ServiceElastic Cloud: A growing family of SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScript
Triggersyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes, with Range Indexes
User concepts infoAccess controlRole-based access control at the document and subdocument levels
More information provided by the system vendor
ElasticsearchMarkLogic
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenarios
» more
Key customers
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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More resources
ElasticsearchMarkLogic
DB-Engines blog posts

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2 January 2018, Paul Andlinger, Matthias Gelbmann

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Recent citations in the news

Latest Elasticsearch Service on Elastic Cloud now Available
1 August 2018, GlobeNewswire (press release)

How does Elasticsearch work? [Tutorial]
30 July 2018, Packt Hub

Four top open source SIEM tools you should know
18 July 2018, TechTarget

Staff Cassandra or Elastic DBA
24 July 2018, Built In Austin

Tutoriel ElasticSearch - Apprenez à gérer vos bases de données en NoSQL avec ElasticSearch
8 August 2018, Developpez.com

provided by Google News

MarkLogic and Tata Consultancy Services Launch the MarkLogic® Center of Excellence
1 August 2018, Odessa American

MarkLogic, Sony Share Data Gains
19 July 2018, Media & Entertainment Services Alliance M&E Daily Newsletter (press release) (blog)

New MarkLogic Query Service Automates Addition and Removal of Query Processing Capacity
17 July 2018, Database Trends and Applications

New MarkLogic Service Automates DB Query Capacity in Cloud
17 July 2018, eWeek

MarkLogic Exec: Companies Should Use the Right Data Pattern to Unlock Smart Content's Power
1 August 2018, Media & Entertainment Services Alliance M&E Daily Newsletter (press release) (blog)

provided by Google News

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