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DBMS > Solr

Solr System Properties

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Editorial information provided by DB-Engines
DescriptionA widely used enterprise search engine based on Apache Lucene
Database modelSearch engine
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#14  Overall
#2  Search engines
Technical documentationlucene.apache.org/­solr/­documentation.html
DeveloperApache Software Foundation
Initial release2004
Current release6.5.1, April 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 and a servlet container runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes Dynamic Fields enables on-the-fly addition of new fields
Typing predefined data types such as float or dateyes supports customizable data types and automatic typing
Secondary indexesyes All search fields are automatically indexed
SQL Support of (almost entire) SQL standard (DML, DDL and DCL statements)no supports limited query time joins
APIs and other access methodsJava API
Supported programming languages.Net
any language that supports sockets and either XML or JSON
Server-side scripts Stored proceduresJava plugins
Triggersyes User configurable commands triggered on index changes
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodescloud/distributed (via Zookeeper)
Master-slave replication
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency slaves poll the master in predefined intervalls
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataoptimistic locking Solr 4
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes

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More resources
DB-Engines blog posts

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

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Solr vs. Elasticsearch: 5 Factors to Consider
5 December 2016, CMSWire

Bloomberg integrates Learning-to-Rank into Apache Solr
5 February 2017, ComputerWeekly.com (blog)

Beyond Solr: Scale search across years of event data
15 September 2016, InfoWorld

Bloomberg Adds Machine-Learning To Apache Solr Search ...
22 February 2017, InformationWeek

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

provided by Google News

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