Software Alternatives & Reviews

Searchkick VS Lucene

Compare Searchkick VS Lucene and see what are their differences

Searchkick logo Searchkick

Intelligent search made easy with Rails and Elasticsearch - ankane/searchkick

Lucene logo Lucene

Search Engines
  • Searchkick Landing page
    Landing page //
    2023-10-19
  • Lucene Landing page
    Landing page //
    2023-10-01

Searchkick videos

Episode #065 - Searchkick and Elasticsearch

More videos:

  • Review - Using Searchkick in Rails for Autocomplete, Suggestions, and Search

Lucene videos

Lucene Indexing Tutorial | Solr Indexing Tutorial | Search Engine Indexing | Solr Tutorial |Edureka

More videos:

  • Review - Lucene Search Essentials: Scorers, Collectors and Custom Queries, Mikhail Khludnev
  • Review - Television News Search and Analysis with Lucene/Solr

Category Popularity

0-100% (relative to Searchkick and Lucene)
Custom Search Engine
29 29%
71% 71
Search Engine
31 31%
69% 69
Custom Search
33 33%
67% 67
Search API
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Lucene should be more popular than Searchkick. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Searchkick mentions (6)

  • Most performant way to build an analytics dashboard from a relational database backend that only stores numeric values, where the data the end-user sees is "categorized" into numeric brackets (e.g. 60-79 = Med, 80-100 = High, etc)
    I run a large scale production application that does something along these lines. If the data needs to be close to real-time, I'd say use `searchkick` + Elasticsearch, and use `searchkick`'s async feature to "stream" the data from your table to the ES index. Your dashboard will then just query from the ES index via searchkick. Source: over 1 year ago
  • Postgres Full Text Search vs. the Rest
    You're right, that's actually what we implemented, application-level hooks, but they needed development and maintenance effort that come for free with the adapter we're using for OpenSearch integration, which also comes with welcome features: synonyms, partial matches, and many others. Spoiler, the adapter is Searchkick: https://github.com/ankane/searchkick. - Source: Hacker News / over 1 year ago
  • How does elasticsearch work with a rails app that's already connected to a MySQL database.
    Normally for Rails applications you would use a gem like searchkick since it greatly reduces the initial Elasticsearch complexity. Source: almost 2 years ago
  • Building a Workflow for Async Searchkick Reindexing
    We lean heavily on Elasticsearch at CompanyCam. One of it's primary use cases is serving our highly filterable project feed. It is incredibly fast, even when you apply multiple filters to your query and are searching a largish data set. Our primary interface for interacting with Elasticsearch is using the Searchkick gem. Searchkick is a powerhouse and provides so many features out of the box. One place where we... - Source: dev.to / almost 2 years ago
  • Swapping Elasticsearch for Meilisearch in Rails feat. Docker
    Convinced? Ok read on and I’ll show you what switching from Elasticsearch to Meilisearch looked like for a real production app — ScribeHub. We also moved from Ankane’s excellent Searchkick gem to the first party meilisearch-rails gem and I’ll show you the changes there as well. - Source: dev.to / almost 2 years ago
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Lucene mentions (21)

  • YaCy, a distributed Web Search Engine, based on a peer-to-peer network
    There are already many project about search: - https://www.marginalia.nu/ - https://searchmysite.net/ - https://lucene.apache.org/ - elastic search - https://presearch.com/ - https://stract.com/ - https://wiby.me/ I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention. I have also been gathering links meta data for some time. Maybe I will use them to feed any... - Source: Hacker News / 2 months ago
  • Getting started with Elasticsearch + Python
    Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions. - Source: dev.to / 3 months ago
  • Tools to use to query and index data?
    Elastic search is kinda heavyweight infra for a small project. Its built on top of apache lucene (https://lucene.apache.org), which you can use directly. Source: 10 months ago
  • Top metrics for Elasticsearch monitoring with Prometheus
    Elasticsearch is based on Lucene, which is built in Java. This means that monitoring the Java Virtual Machine (JVM) memory is crucial to understand the current usage of the whole system. - Source: dev.to / 12 months ago
  • Cross data type search that wasn’t supported well using Elasticsearch
    Apache Lucene which seems to have a lot more features than Elasticsearch. Source: about 1 year ago
View more

What are some alternatives?

When comparing Searchkick and Lucene, you can also consider the following products

Carrot2 - Carrot2 organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Azure Cognitive Search - Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or...

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Sphinx Search - Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.