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  4. Search As A Service
  5. Elasticsearch vs Searchkick

Elasticsearch vs Searchkick

OverviewDecisionsComparisonAlternatives

Overview

Elasticsearch
Elasticsearch
Stacks35.5K
Followers27.1K
Votes1.6K
Searchkick
Searchkick
Stacks18
Followers34
Votes1
GitHub Stars6.7K
Forks766

Elasticsearch vs Searchkick: What are the differences?

Introduction

Elasticsearch and Searchkick are both powerful search engines that are frequently used in websites or applications. While they share some similarities, there are distinct differences between the two.

  1. Data Storage: Elasticsearch uses Apache Lucene as its underlying data storage mechanism, which divides data into shards for distributed storage and querying. On the other hand, Searchkick relies on Elasticsearch for data storage, with no direct control over how data is divided and stored.

  2. Querying: Elasticsearch offers a wide range of search options, including full-text search, filtering, faceting, and aggregations. It also supports complex queries and scoring algorithms. In comparison, Searchkick provides a simpler querying interface focused on full-text search and filtering.

  3. Indexing and Synchronization: Elasticsearch allows near-real-time indexing, meaning that documents are available for search within a short time frame after being indexed. Searchkick, however, relies on Elasticsearch's indexing capabilities, and any changes made to the indexed documents may introduce some delay before they become searchable.

  4. Scalability: Elasticsearch is designed to be highly scalable and can handle large amounts of data and high traffic loads. It provides built-in support for scaling horizontally by distributing data across multiple servers. Searchkick leverages Elasticsearch's scalability features, making it capable of handling high volumes of searches and data.

  5. Configuration and Customization: Elasticsearch offers extensive configuration options, allowing users to fine-tune various aspects of search and indexing. It provides a broad set of APIs for customization as well as built-in features for analysis, highlighting, and suggestions. In contrast, Searchkick simplifies the configuration process and provides a more opinionated approach with fewer customization options.

  6. Community and Ecosystem: Elasticsearch has a vast and active community that contributes to its open-source development and provides numerous plugins and integrations. It has been widely adopted and has extensive documentation and support resources. While Searchkick benefits from Elasticsearch's ecosystem, it has a smaller community and may have fewer plugins and integrations available.

In summary, Elasticsearch and Searchkick differ in data storage, querying capabilities, indexing and synchronization approaches, scalability features, configuration options, and community support.

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Advice on Elasticsearch, Searchkick

Rana Usman
Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceonFirebaseFirebaseElasticsearchElasticsearchAlgoliaAlgolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

408k views408k
Comments

Detailed Comparison

Elasticsearch
Elasticsearch
Searchkick
Searchkick

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).

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.

Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License
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
Statistics
GitHub Stars
-
GitHub Stars
6.7K
GitHub Forks
-
GitHub Forks
766
Stacks
35.5K
Stacks
18
Followers
27.1K
Followers
34
Votes
1.6K
Votes
1
Pros & Cons
Pros
  • 329
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
Cons
  • 7
    Resource hungry
  • 6
    Diffecult to get started
  • 5
    Expensive
  • 4
    Hard to keep stable at large scale
Pros
  • 1
    Open Source
Integrations
Kibana
Kibana
Beats
Beats
Logstash
Logstash
No integrations available

What are some alternatives to Elasticsearch, Searchkick?

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

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.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

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.

Swiftype

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

MeiliSearch

MeiliSearch

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

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