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.
Searchkick is a tool in the Search Engines category of a tech stack.
Searchkick is an open source tool with 5.3K GitHub stars and 638 GitHub forks. Here’s a link to Searchkick's open source repository on GitHub
Who uses Searchkick?
4 companies reportedly use Searchkick in their tech stacks, including Sellbrite, BikeRoar Web, and storefront.
8 developers on StackShare have stated that they use Searchkick.
Pros of Searchkick
- stemming - tomatoes matches tomato
- special characters - jalapeno matches jalapeño
- extra whitespace - dishwasher matches dish washer
- misspellings - zuchini matches zucchini
- custom synonyms - qtip matches cotton swab
- query like SQL - no need to learn a new query language
- reindex without downtime
- easily personalize results for each user
- “Did you mean” suggestions
- works with ActiveRecord and Mongoid
Searchkick Alternatives & Comparisons
What are some alternatives to Searchkick?
See all alternatives
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).
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.
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.
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
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.