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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
Score151.25
Rank#8  Overall
#1  Search engines
Websitewww.elastic.co/­elasticsearch
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperElastic
Initial release2010
Current release7.8.0, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic License
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
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
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
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 an open source search and analytics engine. As the heart of the Elastic Stack, Elasticsearch stores and optimizes your data for real-time search that returns highly relevant results. It offers the flexibility to ingest data of all types — numbers, text, geo, structured, unstructured — to handle a variety of use cases for enterprise search, observability, and security.

Based on Apache Lucene, Elasticsearch 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 License with additional free and paid features under the Elastic License.

Competitive advantages
  • Open source 

  • Real-time indexsearch, and analysis

  • Horizontally scalable

  • Distributed

  • Resilient

Typical application scenarios

Enterprise search (search experiences for your workplace, apps, and websites), observability (APM, logging, metrics, uptime), and security (endpoint, SIEM) use cases.

Key customers

Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.

Market metrics
  • Public as of October 2018

  • Distributed workforce with 1900+ employees around the globe​

  • Top ten most popular database management systems on DB-Engines
Licensing and pricing models
Related products and services
Elastic Cloud: Try the official managed Elasticsearch.

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

AWS will now maintain its own fork of Elasticsearch
22 January 2021, TechRadar

AWS, as predicted, is forking Elasticsearch
22 January 2021, ZDNet

Elastic changes software license to better protect Elasticsearch and Kibana
20 January 2021, SDTimes.com

Not So Open Any More: Elasticsearch Relicensing and Implications for Open Source Search
19 January 2021, CMSWire

Update: Elastic Shifts Licensing Terms, Citing Amazon Moves
21 January 2021, Datanami

provided by Google News

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