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Searchkick

16
30
+ 1
1
Sonic Server

4
24
+ 1
0
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Searchkick vs Sonic Server: What are the differences?

Searchkick: 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; Sonic Server: Fast, lightweight & schema-less search backend. A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

Searchkick and Sonic Server belong to "Search Engines" category of the tech stack.

Some of the features offered by Searchkick are:

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

On the other hand, Sonic Server provides the following key features:

  • Search terms are stored in collections, organized in buckets

- Search results return object identifiers

Searchkick and Sonic Server are both open source tools. Sonic Server with 6.82K GitHub stars and 182 forks on GitHub appears to be more popular than Searchkick with 4.97K GitHub stars and 582 GitHub forks.

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    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.

    What is Sonic Server?

    A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

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

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      What are some alternatives to Searchkick and Sonic Server?
      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.
      Google
      Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
      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.
      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.
      See all alternatives