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Lucene

159
206
+ 1
2
Searchkick

17
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+ 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.

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Pros of Lucene
Pros of Searchkick
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    Fast
  • 1
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  • 1
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- 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

    Blog Posts

    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.
    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