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  1. Stackups
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  3. Search
  4. Search Engines
  5. Carrot2 vs Searchkick

Carrot2 vs Searchkick

OverviewComparisonAlternatives

Overview

Searchkick
Searchkick
Stacks18
Followers34
Votes1
GitHub Stars6.7K
Forks766
Carrot2
Carrot2
Stacks7
Followers13
Votes0
GitHub Stars834
Forks218

Searchkick vs Carrot2: What are the differences?

Developers describe Searchkick as "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. On the other hand, Carrot2 is detailed as "An Open Source Search Results Clustering Engine". It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.

Searchkick and Carrot2 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, Carrot2 provides the following key features:

  • Visualization
  • Clustering
  • Integration

Searchkick and Carrot2 are both open source tools. It seems that Searchkick with 5.03K GitHub stars and 592 forks on GitHub has more adoption than Carrot2 with 377 GitHub stars and 155 GitHub forks.

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Detailed Comparison

Searchkick
Searchkick
Carrot2
Carrot2

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.

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

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;autocomplete;“Did you mean” suggestions;works with ActiveRecord and Mongoid
Visualization; Clustering; Integration
Statistics
GitHub Stars
6.7K
GitHub Stars
834
GitHub Forks
766
GitHub Forks
218
Stacks
18
Stacks
7
Followers
34
Followers
13
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Open Source
No community feedback yet
Integrations
No integrations available
C#
C#
PHP
PHP
.NET
.NET
Ruby
Ruby
Bing Maps API
Bing Maps API

What are some alternatives to Searchkick, Carrot2?

Sphinx

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.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Lucene

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.

Google

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.

YugabyteDB

YugabyteDB

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Apache Solr

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.

Qdrant

Qdrant

It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.

Weaviate

Weaviate

It is an open-source vector search engine. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.

AddSearch

AddSearch

We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

ArangoSearch

ArangoSearch

It is a C++ based full-text search engine including similarity ranking capabilities natively integrated into ArangoDB. It allows users to combine two information retrieval techniques: boolean and generalized ranking retrieval. Search results “approved” by the boolean model can be ranked by relevance to the respective query using the Vector Space Model in conjunction with BM25 or TFIDF weighting schemes.

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