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

DBMS > Solr

Solr System Properties

Please select another system to compare it with Solr.

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

Editorial information provided by DB-Engines
NameSolr
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
Score64.69
Rank#14  Overall
#2  Search engines
Websitelucene.apache.org/­solr
Technical documentationlucene.apache.org/­solr/­documentation.html
DeveloperApache Software Foundation
Initial release2004
Current release6.1.0, June 2016
LicenseOpen Source Apache Version 2
Database as a Service (DBaaS) 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 full) SQL standard (DML, DDL and DCL statements)no supports limited query time joins
APIs and other access methodsJava API
RESTful HTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
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

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
Solr
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

DataStax injects a graph database into DSE 5.0 release
27 July 2016, SiliconANGLE (blog)

Cheapest retail tariffs may threaten health of UK gas and electricity market
25 July 2016, ICIS

Graph Visualization Using Solr 6
9 May 2016, DZone News

Innovent Solutions Releases FindTuner® v2.3
19 July 2016, PR Web (press release)

edynamic wins Site of the Year Award at the 2015 Sitecore Experience Awards in North America
22 July 2016, PR Newswire (press release)

provided by Google News




Share this page

Featured Products

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

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

An in-memory computing platform for fast data processing in real time with high availability and scalability. Free XAP Download Here.

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

Present your product here