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DBMS > Elasticsearch

Elasticsearch System Properties

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

Editorial information provided by DB-Engines
NameElasticsearch
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
Score106.17
Rank#11  Overall
#1  Search engines
Websitewww.elastic.co/­products/­elasticsearch
Technical documentationwww.elastic.co/­guide
DeveloperElastic
Initial release2010
Current release5.1.2, January 2017
LicenseOpen 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 full) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lua
Perl
PHP
Python
Ruby
Scala
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

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More resources
Elasticsearch
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

Conferences and events

Elastic{ON}, Elasticsearch User Conference
San Francisco, California, USA, 7-9 March 2017

Recent citations in the news

Elasticsearch ransomware attacks now number in the thousands ...
18 January 2017, ZDNet

MongoDB Hijackers Move on to ElasticSearch Servers
13 January 2017, BleepingComputer

MongoDB hackers go after ElasticSearch servers with targeted ransomware attacks
16 January 2017, International Business Times UK

MongoDB, ElasticSearch hackers now target Hadoop with ransomware
18 January 2017, Computer Business Review

Five Logstash Alternatives | @DevOpsSummit #APM #DevOps #Logstash - SYS
11 January 2017, CON Media (press release)

provided by Google News




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