Lucene Vs Solr

We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs. Check out projects section.

Lucene Vs Solr

We aggregate and tag open source projects. We have collections of more than one million projects. Check out the projects section.

Lucene is a search library built in Java. Solr is a web application built on top of Lucene. Certainly Solr = Lucene + Added features. Often there would a question, when to choose Solr and when to choose Lucene.

Lucene:
Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search.

To have more control. It is a plain Jar and it could be used as the way we require.
Cannot depend on any Web server.
To use termvector, termdocs etc. For example, to calculate the most indexed term in a given period of time. TermVector gives information about the terms and its occurances.
Lot of contrib modules like spell checker, hit highlighting are available.
Near real time search support.
It is widely used in many of the open source projects. There are lot more derivate search products available on top of Lucene.
Incremental Updates: When ever new documents are added, IndexReader needs to reopen to get the new documents reflect in search.
Warming the searcher: When ever new searcher is opened or reopened, It should be warmed by performing couple of search. This will help to load the cache and subsequent search will be faster.

Solr:
Solr major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites. This site is powered by Solr.
Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs.

To index and search docs easily by writting few code
Solr is a standalone App and it takes care most of the stuff like incremental updates, warmup the reader etc.
Solr could be extended to multiple nodes. It supports distributed search but not distributed indexing.
To use Facet search and hit highlighting.
For Java developers, Solrj library is available, which helps to communicate with the server via API.
Solr could be used from any programming language which supports HTTP/XML and JSON.

Summary: To get more control use Lucene. For faster development, easy to learn, choose Solr.

References:
http://www.findbestopensource.com/tagged/searchengine
http://www.findbestopensource.com/product/lucene
http://www.findbestopensource.com/product/solr

Findbestopensource Editorial Team

We publish blog post about open source products. If you are interested in sharing knowledge about open source products, please visit write for us

8 Best Open Source Searchengines built on top of Lucene

Lucene is most powerful and widely used Search engine. Here is the list of 7 search engines which is built on top of Lucene. You could imagine how powerful they are.

Lucene / Solr as NoSQL database

Lucene and Solr are most popular and widely used search engine. It indexes the content and delivers the search result faster. It has all capabilities of NoSQL database. This article describes about its pros and cons.

LucidWorks Vs SearchBlox - Enterprise Search Solution

Enterprise search software should be capable to search the data available in the entire organization or personnel desktop. The data could be in File system, Web or in Database. It should search contents of Emails, file formats like doc, xls, ppt, pdf and lot more. There are many commercial products available but LucidWorks and SearchBlox are best and free.

Whats new in Lucene / Solr 4.0

The release 4.0 is one of the important milestone for Lucene and Solr. It has lot of new features and performance important. Few important ones are highliggted in this article.

Solr vs Elastic Search

Solr and Elastic Search are built on top of Lucene. Both are open source and both have extra features which makes programmer life easy. This article explains the difference and the best situation to choose between them.

Why Elastic Search is gaining more popularity than Solr?

Solr and Elastic Search both are built on top of Lucene library. Both are compratively equal. Any new feature / enhancement which get introduced in Lucene, will also get added to Solr. But still Elastic Search which uses Lucene as it core gained more popularity than Solr in recent years.

Restrict Solr Admin Access

Solr is a search engine built on top of Lucene. It supports REST interface and has lot of built-in capabilities. Solr package has Admin UI interface which has support to perform query and even delete the contents of the index. If you are using Solr in production then you may need to restrict access. I saw couple of questions in the group related to this topic. Thought to write an article explaining few tips to restrict the user access to Solr admin UI.

An introduction to LucidWorks Enterprise Search

Lucidworks Enterprise search solution is built on top of Apache Solr. It scales seamlessly w/sub-second response times under extreme query loads for multi-billion document collections. It has user friendly UI, which does all the job of configuration and search.

Why require Searchengine? Why not use database for full text search in Enterprise application.

Most of the database has support of full text search, basically indexing and saarching. MySQL, Oracle and many more databases has in-built full text search. Then what is the need to go for external search engine like Lucene, Sphinx, Solr etc. Check out the advantage of using Searchengine.

How to make money from Open Source

As open source getting popular day by day, many have questions like How to make money from Open Source? Lot more products are getting introduced and don't know who is making money. Certainly open source means, give the product and source for free then how to make money? Yes sell the product for free but get paid for its services.

Top 15 Open source alternative to Microsoft products

Microsoft is monopoly in the commercial software. Here are 15 best alternatives to most popular and widely used Microsoft products.

Open source is the backbone for Startups

Many startups are entering in to the business due to open source. Open source acts as a back bone / pillar for their business. It reduces the cost of production, Generates revenue from consulting and support. This article describes about the startups which flourished because of open source. Sun acquired MySQL for $1Bn is the biggest achievement for open source startups.

How to create SEO friendly url

SEO friendly URL is recommended for any website which wants to be indexed and wants its presence in search results. Searchengine mostly index the static URL. It will avoid the URL which has lot of query strings. Almost all websites generate content dynamically then how could the URL be static. That is the job of the programmer.

An introduction to web cache proxy server - nuster

Nuster is a simple yet powerful web caching proxy server based on HAProxy. It is 100% compatible with HAProxy, and takes full advantage of the ACL functionality of HAProxy to provide fine-grained caching policy based on the content of request, response or server status. This article gives an overview of nuster - web cache proxy server, its installation and few examples of how to use it.

Exonum Blockchain Framework by the Bitfury Group

Exonum is an extensible open source blockchain framework for building private blockchains which offers outstanding performance, data security, as well as fault tolerance. The framework does not include any business logic, instead, you can develop and add the services that meet your specific needs. Exonum can be used to build various solutions from a document registry to a DevOps facilitation system.

Git vs Subversion

Git and Subversion are most popular and widely used version control system. What is the best situation to choose them? It is important to know its pros and cons, evaluate your requirement and choose the right one.

Column database vs OLAP

OLAP (Online Analytical Processing), Reporting, Data mining related tasks are usually done by Business intelligence products. They do powerful Extraction, Transformation and Loading (ETL) the data and provides various reports. They use relational database as its back end. How could they generate better reports? Will column DB do a better job?