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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
Score143.44
Rank#8  Overall
#1  Search engines
Score14.26
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 release6.5.3, December 20189.0, 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a ServiceElasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
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
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenarios
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customers
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchMarkLogic
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

show all

Conferences and events

MarkLogic World 2019
Washington DC, USA, 14-15 May 2019

Recent citations in the news

Toshi: A full text search engine modeled after Elasticsearch
14 January 2019, JAXenter

How to install Elasticsearch on Ubuntu Server 18.04
2 January 2019, TechRepublic

Unprotected ElasticSearch server exposes location data of 11,000 Indian buses
17 January 2019, CISO MAG

Search engines help agencies tackle IT modernization woes
7 January 2019, WTOP

Another huge database exposed millions of call logs and SMS text messages
15 January 2019, TechCrunch

provided by Google News

MarkLogic's CEO Gary Bloom to Speak at Annual Needham Growth Conference
14 January 2019, Business Wire

NoSQL meetup hosted by MarkLogic
8 January 2019, Techwire.net

MESA, MarkLogic Webinar to Examine Effective AI Usage in M&E
17 January 2019, Media & Entertainment Services Alliance M&E Daily Newsletter

The Semantic Zoo - Smart Data Hubs, Knowledge Graphs and Data Catalogs
18 January 2019, Forbes

MarkLogic is a New Cooperation Partner of the STAR Group
23 October 2018, Slator

provided by Google News

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