DBMS > Elasticsearch

Elasticsearch System Properties

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Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Primary database model

Search engine

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	149.69
Rank	#7	Overall
	#1	Search engines

Website

www.elastic.co/elasticsearch

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

Developer

Elastic

Initial release

2010

Current release

7.7.0, May 2020

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database 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 AWS, GCP and Azure that's powered by the creators of Elasticsearch.

Implementation language

Java

Server operating systems

All OS with a Java VM

Data scheme

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

Server-side scripts info

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is 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

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 scenarios

Search, logging, security, metrics, maps and business analytics use cases.

Key customers

Cisco, 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 400 million cumulative downloads
More than 100,000 community members in 50+ countries
Backed by Benchmark Capital, Index Ventures, and NEA with more than $100 million in funding
Elastic has a distributed workforce with more than 1500+ employees in 45 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

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source.
Subscriptions are available for services and support
Subscriptions are available for public and private training.
Paid consulting services are available
Hosted Elasticsearch is available with Elastic Cloud and Elastic Cloud Enterprise

Related products and services

Elastic Cloud: Try the official hosted Elasticsearch.