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Lucene
Lucene

116
95
+ 1
0
Searchkick
Searchkick

9
14
+ 1
1
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Lucene vs Searchkick: What are the differences?

Developers describe Lucene as "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. On the other hand, Searchkick is detailed as "Intelligent search made easy". Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

Lucene and Searchkick can be categorized as "Search Engines" tools.

Some of the features offered by Lucene are:

  • over 150GB/hour on modern hardware
  • small RAM requirements -- only 1MB heap
  • incremental indexing as fast as batch indexing

On the other hand, Searchkick provides the following key features:

  • stemming - tomatoes matches tomato
  • special characters - jalapeno matches jalapeño
  • extra whitespace - dishwasher matches dish washer

Searchkick is an open source tool with 4.96K GitHub stars and 582 GitHub forks. Here's a link to Searchkick's open source repository on GitHub.

- No public GitHub repository available -

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 Searchkick?

Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.
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        What tools integrate with Lucene?
        What tools integrate with Searchkick?
          No integrations found
          What are some alternatives to Lucene and Searchkick?
          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.
          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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          Decisions about Lucene and Searchkick
          StackShare Editors
          StackShare Editors
          Solr
          Solr
          Lucene
          Lucene

          "Slack provides two strategies for searching: Recent and Relevant. Recent search finds the messages that match all terms and presents them in reverse chronological order. If a user is trying to recall something that just happened, Recent is a useful presentation of the results.

          Relevant search relaxes the age constraint and takes into account the Lucene score of the document — how well it matches the query terms (Solr powers search at Slack). Used about 17% of the time, Relevant search performed slightly worse than Recent according to the search quality metrics we measured: the number of clicks per search and the click-through rate of the search results in the top several positions. We recognized that Relevant search could benefit from using the user’s interaction history with channels and other users — their ‘work graph’."

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          Interest over time
          Reviews of Lucene and Searchkick
          No reviews found
          How developers use Lucene and Searchkick
          Avatar of Blue Kangaroo
          Blue Kangaroo uses LuceneLucene

          High-performance text-based category classification.

          How much does Lucene cost?
          How much does Searchkick cost?
          Pricing unavailable
          Pricing unavailable
          News about Lucene
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          News about Searchkick
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