Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Elasticsearch

Elasticsearch System Properties

Please select another system to compare it with Elasticsearch.

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

Editorial information provided by DB-Engines
DescriptionA modern search and analytics engine based on Apache Lucene
Database modelSearch engine
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#11  Overall
#1  Search engines
Technical documentationwww.elastic.co/­guide
Initial release2010
Current release5.4.0, May 2017
License Commercial or Open SourceOpen Source Apache Version 2
Cloud-based Only available as a cloud serviceno
Implementation languageJava
Server operating systemsAll OS with a Java VM
Data schemeschema-free Flexible type definitions. Once a type is defined, it is persistent
Typing predefined data types such as float or dateyes
Secondary indexesyes All search fields are automatically indexed
SQL Support of (almost entire) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsJava API
Supported programming languages.Net
Server-side scripts Stored proceduresyes
Triggersyes by using the 'percolation' feature
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesyes
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Recent citations in the news

Elasticsearch stack wises up with machine learning
5 May 2017, InfoWorld

Get the "Elasticsearch Tutorial" eBook by Java Code Geeks - for free
28 April 2017, Neowin

Instaclustr First to Offer Managed Service for Elassandra and Kibana
19 May 2017, Marketwired (press release)

Elastic Adds 'One Click' Anomaly Detection to Stack - Datanami
4 May 2017, Datanami

Elastic dope son outil Elasticsearch au machine learning
12 May 2017, l'Informaticien

provided by Google News

Job opportunities

Senior Software Engineer
Capital One, Vienna, VA

Senior Software Engineer, Full Stack
Capital One, Vienna, VA

Strategic Customer Engineer, Big Data/Data Engineering, Google Cloud
Google, New York, NY

Big Data Software Engineer
Deloitte, Arlington, VA

Big Data Software Engineer - Clearance Required
Sila, Arlington, VA

jobs by Indeed

Share this page

Featured Products

Power, flexibility & scale.
All open source.
Get started now.

Datastax delivers Apache Cassandra as part of a database platform purpose built for IOT, Web and Mobile Apps. Download now.

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Semantic Graph Database Leader - Add The Power of Cognitive Probability Graphs - Unique Graph Visualizations - Free Download

Present your product here