Software Alternatives & Reviews

Tantivy VS Searchkick

Compare Tantivy VS Searchkick and see what are their differences

Tantivy logo Tantivy

🐎 On average 2x faster than Lucene 🔎 Full-text search ⚙️ Configurable tokenizer (stemming available for 17 languages) 🚀 Tiny startup time (<10ms) ⌨️ Natural and Phrase Queries ䷴ Range Queries 🛠 Incremental Indexing 💨 Multi-threaded Indexing 🔩 JSON F…

Searchkick logo Searchkick

Intelligent search made easy with Rails and Elasticsearch - ankane/searchkick
  • Tantivy Landing page
    Landing page //
    2023-08-24
  • Searchkick Landing page
    Landing page //
    2023-10-19

Tantivy videos

LNX: Using Tantivy to Build One of the Fastest Search Engines Around | Harrison, Software Engineer

More videos:

  • Review - tantivy-search/tantivy - Grource visualisation

Searchkick videos

Episode #065 - Searchkick and Elasticsearch

More videos:

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

Category Popularity

0-100% (relative to Tantivy and Searchkick)
Search Engine
69 69%
31% 31
Custom Search Engine
41 41%
59% 59
Open Source
100 100%
0% 0
Custom Search
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Tantivy should be more popular than Searchkick. It has been mentiond 26 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.

Tantivy mentions (26)

  • What is Hybrid Search?
    Tantivy - a full-text indexing library written in Rust. Has a great Performance and featureset. - Source: dev.to / 3 months ago
  • RAG Using Unstructured Data and Role of Knowledge Graphs
    By this I presume you mean build a search index that can retrieve results based on keywords? I know certain databases use Lucene to build a keyword-based index on top of unstructured blobs of data. Another alternative is to use Tantivy (https://github.com/quickwit-oss/tantivy), a Rust version of Lucene, if building search indices via Java isn't your cup of tea... - Source: Hacker News / 4 months ago
  • Show HN: Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
    We also implemented our schemaless columnar storage optimized for object storage. The inverted index and columnar storage are part of tantivy [0], which is the fastest search library out there. We maintain it and we decided to build the distributed engine on top of it. [0] tantivy github repo: https://github.com/quickwit-oss/tantivy. - Source: Hacker News / 4 months ago
  • Grimoire - A recipe management application.
    Search index : Custom-built using tantivy. Source: 7 months ago
  • Job: Rust + Retrieval Systems at Etsy
    Hi /r/rust, I’m a SWE on Etsy’s Retrieval Systems team where we’re building a platform based on rust and tantivy (https://github.com/quickwit-oss/tantivy). We’re looking to bring two new engineers onto the team. Source: 11 months ago
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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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What are some alternatives?

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

Quickwit - Open-source &amp; cloud-native log management &amp; analytics

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.

CommonCrawl - Common Crawl

Lucene - Search Engines

bloop - Code-search engine for developers

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