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Based on our record, ElasticSearch should be more popular than Searchkick. It has been mentiond 17 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.
Yesterday, I worked on elasticsearch integration with help of searchkick. - Source: dev.to / 8 months ago
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 2 years ago
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 2 years ago
Normally for Rails applications you would use a gem like searchkick since it greatly reduces the initial Elasticsearch complexity. Source: almost 3 years ago
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 3 years ago
What surprised me is that on the Azure store, the only option I see is (Pay as you go), whereas on elastic.co there are the standard platinum and enterprise tiers followed by a where to deploy page and a pricing overview. Source: almost 2 years ago
Can anyone help me how to upload custom hunspell stemmer files to elastic cloud (elastic.co)? According to elastic docs it should go under elasticsearch/config/hunspell, but according to cloud docs I should upload it via features/extension tab. So I tried zipping the hunspell folder and uploading it. I also figured out that it should be in the dictionaries folder, but after uploading it still doesn't work. Source: almost 2 years ago
I can't figure out where I have to go to get more or less of a custom, premium website. I should mention that I look up to websites like elastic.co for example, would be very happy with something like that. I could really use some guidance! Source: about 2 years ago
Elastic | Multiple software engineering roles | REMOTE (EMEA) | Full-time | https://elastic.co Elastic offers solutions for security and observability that are built on a single, open technology stack that can be deployed anywhere. Elastic Security enables security teams to prevent, detect, and respond to attacks with a solution built atop the speed and reliable of the Elastic stack. The Security External... - Source: Hacker News / over 2 years ago
I have been trying to digest the elastic.co website to try to understand how we can use elastic search, but I've come to a point where I'm not sure which part of elastic, (if any) makes sense for us. In fact I am royally confused. I wonder if anyone here can help clarify? Source: almost 3 years ago
Lucene - Search Engines
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.
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...
Typesense - Typo tolerant, delightfully simple, open source search 🔍
Site Search 360 - Site Search 360 enhances and improves your built-in CMS or product search with autocompletion, semantic search, filters, facets, detailed analytics, and a whole lot of customization options.