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DBMS > Elasticsearch

Elasticsearch System Properties

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Our visitors often compare Elasticsearch with MongoDB, Solr and Redis.

Editorial information provided by DB-Engines
NameElasticsearch
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 metric
Primary database modelSearch 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
Websitewww.elastic.co/­products/­elasticsearch
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperElastic
Initial release2010
Current release6.3.1, July 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic License
Cloud-based infoOnly available as a cloud serviceno
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 languageJava
Server operating systemsAll OS with a Java VM
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
Server-side scripts infoStored proceduresyes
Triggersyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connector
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, all
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
More information provided by the system vendor
Elasticsearch
Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine. It allows you to store, search, and analyze big volumes of data quickly and in near real time. It is generally used as the underlying engine/technology that powers applications that have complex search features and requirements. Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is available under the Apache 2.0 with additional free and paid features under the Elastic License.

Competitive advantages
  • Open source, 
  • real-time index,
  • search and analysis,
  • horizontally scalable,
  • distributed,
  • resilient
Typical application scenariosSearch, logging, security, metrics, and analytics use cases.
Key customersCisco, eBay, Goldman Sachs, NASA, Microsoft, Mayo Clinic, The New York Times, Wikipedia, and Verizon use Elastic to power mission-critical systems.
Market metrics
  • More than 250 million cumulative downloads
  • More than 100,000 community members in 100+ countries
  • Backed by Benchmark Capital, Index Ventures, and NEA with more than $100 million in funding
  • Elastic has a distributed workforce with more than 900 employees in 30 countries
  • Top ten most popular database management systems on DB-Engines
  • Partnerships with Fortune 500 companies and public sector use cases
Licensing and pricing models
Related products and services
Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.

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

More resources
Elasticsearch
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

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

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