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Lucene

149
195
+ 1
2
MkDocs

70
101
+ 1
5
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Lucene vs MkDocs: What are the differences?

Lucene: A high-performance, full-featured text search engine library written entirely in Java. Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities; MkDocs: *A static site generator *. It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Lucene can be classified as a tool in the "Search Engines" category, while MkDocs is grouped under "Static Site Generators".

Twitter, Slack, and Evernote are some of the popular companies that use Lucene, whereas MkDocs is used by Hactar, elmah.io, and Worldsensing - Mobility. Lucene has a broader approval, being mentioned in 38 company stacks & 60 developers stacks; compared to MkDocs, which is listed in 5 company stacks and 8 developer stacks.

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Pros of Lucene
Pros of MkDocs
  • 1
    Fast
  • 1
    Small
  • 2
    Gitlab integration

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What is Lucene?

Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

What is MkDocs?

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

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What companies use Lucene?
What companies use MkDocs?
See which teams inside your own company are using Lucene or MkDocs.
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What tools integrate with Lucene?
What tools integrate with MkDocs?
    No integrations found

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    What are some alternatives to Lucene and MkDocs?
    Solr
    Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Sphinx
    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
    Apache Solr
    It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    See all alternatives