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Pros of Lucene
- Fast1
- Small1
Pros of Searchkick
- Open Source1
Pros of Sphinx
- Fast16
- Simple deployment9
- Open source6
- Lots of extentions1
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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 Searchkick?
Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. Itβs friendly for developers - and magical for your users.
What is Sphinx?
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily β or index and search data on the fly, working with it pretty much as with a database server.
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What tools integrate with Lucene?
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What tools integrate with Sphinx?
What tools integrate with Searchkick?
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What are some alternatives to Lucene, Searchkick, and Sphinx?
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).
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.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.