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ElasticSearch VS GatsbyJS

Compare ElasticSearch VS GatsbyJS and see what are their differences

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ElasticSearch logo ElasticSearch

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

GatsbyJS logo GatsbyJS

Blazing-fast static site generator for React
  • ElasticSearch Landing page
    Landing page //
    2023-10-10
  • GatsbyJS Landing page
    Landing page //
    2023-09-12

ElasticSearch features and specs

  • Scalability
    ElasticSearch is highly scalable, allowing you to handle large volumes of data and distribute indexing and search tasks across multiple nodes.
  • Real-Time Data
    It provides real-time indexing and searching capabilities, making it suitable for applications that require up-to-the-minute data retrieval and analysis.
  • Full-Text Search
    ElasticSearch is well-known for its powerful full-text search capabilities, enabling complex search queries and supporting a wide range of search options.
  • Complex Query Support
    It offers a rich query language allowing for complex and nested searching with filters, aggregations, and more.
  • Distributed Architecture
    ElasticSearch is designed to be distributed by nature, making it resilient to node failures and allowing data and search requests to be distributed across a cluster.
  • Open Source
    ElasticSearch is open-source, offering flexibility and a large community of developers that contribute to its continuous improvement and support.
  • Analytics
    Besides search, it also supports powerful analytics and visualization tools, especially when integrated with Kibana, its visualization dashboard.
  • Integrations
    ElasticSearch can easily integrate with various data sources and frameworks, enhancing its usability across different applications.

Possible disadvantages of ElasticSearch

  • Complexity
    Operating ElasticSearch can be complex, particularly when dealing with large-scale deployments, requiring specialized knowledge and expertise.
  • Resource Intensive
    ElasticSearch can be resource-intensive, requiring significant amounts of RAM and CPU, which can be costly for large-scale operations.
  • Consistency
    As a distributed system, ElasticSearch can sometimes face consistency issues, especially in scenarios involving partitions or network failures.
  • Security
    Though security features are available, they often require additional configurations and are more robust in the paid versions, which can be a concern for open-source users.
  • Cost
    While the core ElasticSearch software is open-source, scaling and additional features (like security, monitoring, and machine learning) are part of the paid Elastic Stack offerings.
  • Learning Curve
    There is a steep learning curve associated with mastering ElasticSearch and its query DSL (Domain Specific Language), which can be a barrier for new users.
  • Maintenance
    Properly maintaining an ElasticSearch cluster requires ongoing management, monitoring, and tuning to ensure optimal performance.
  • Backup and Restore
    Managing backups and restores can be cumbersome and is not as straightforward as in some other databases or data storage solutions.

GatsbyJS features and specs

  • Performance
    GatsbyJS pre-builds your site into static files for fast load times and instantaneous page loads thanks to features like code splitting, PRPL pattern, and Asset Optimization.
  • SEO-Friendly
    GatsbyJS generates static HTML, which helps search engines to index your site more effectively. Additionally, you have fine-grained control over metadata and other SEO optimizations.
  • Rich Plugin Ecosystem
    GatsbyJS boasts an extensive plugin ecosystem that covers a wide array of functionalities such as sourcing data from CMSs, adding analytics, integrating with various APIs, and much more.
  • Strong Community Support
    Gatsby has a robust and active community that provides ample documentation, tutorials, and support to help you get started and troubleshoot issues.
  • Secure and Scalable
    Since Gatsby sites are static, they are inherently more secure against traditional web-based vulnerabilities and can be scaled easily by deploying to a CDN.

Possible disadvantages of GatsbyJS

  • Build Time
    For larger sites, build times can become noticeably long as Gatsby rebuilds the entire site. This can be a bottleneck for frequent updates.
  • Less Suitable for Dynamic Content
    Since Gatsby generates static pages, it's less suited for applications that require real-time data updates or dynamic content unless they are integrated with client-side JS or third-party services.
  • Initial Setup Complexity
    Getting started with Gatsby can be complex for beginners unfamiliar with React and GraphQL, as it requires knowledge of these technologies.
  • GraphQL Learning Curve
    A significant part of customizing and extending Gatsby sites involves GraphQL queries, which can be a barrier for developers who are not yet familiar with GraphQL.
  • Plugin Quality Variability
    While Gatsby has a rich plugin ecosystem, the quality and maintenance of plugins can vary, requiring developers to vet the plugins they choose to integrate into their projects.

Analysis of ElasticSearch

Overall verdict

  • Yes, Elasticsearch is widely regarded as a top-tier solution for search and analytics applications. Its balance of speed, scalability, and adaptability to various data sets and systems makes it a popular choice across industries. However, it can be complex to set up and manage at scale, so some expertise is beneficial.

Why this product is good

  • Elasticsearch, developed by Elastic.co, is considered a powerful and flexible search and analytics engine. It's renowned for its scalability, speed, and support for complex search functionalities. Officially integrated into the Elastic Stack, it offers robust indexing and real-time search capabilities, making it an ideal choice for large-scale data search and analysis. It has a vibrant community and extensive documentation, which add to its appeal. Users appreciate its ability to handle a vast amount of data efficiently and its seamless integration with other tools like Kibana and Logstash.

Recommended for

  • Organizations needing a reliable, scalable search engine for large datasets
  • Developers building applications with complex search queries and analytics
  • Businesses wanting to perform real-time data analysis and visualization
  • Companies looking for a component within a larger log or event data management solution
  • Engineering and IT teams seeking to integrate search capabilities into existing systems

ElasticSearch videos

+ Add

What is Elasticsearch?

More videos:

  • Review - Real world Elasticsearch Compose/Stack File Review
  • Demo - Elastic Search

GatsbyJS videos

+ Add

The Great Gatsby - Movie Review by Chris Stuckmann

More videos:

  • Review - The Great Gatsby movie review
  • Review - The Ultimate Gatsby Moving Rubber Review!

Category Popularity

0-100% (relative to ElasticSearch and GatsbyJS)

ElasticSearch

GatsbyJS

Custom Search Engine
100 100%
Custom Search Engine
0% 0
CMS
0 0%
CMS
100% 100
Custom Search
100 100%
Custom Search
0% 0
Blogging
0 0%
Blogging
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ElasticSearch and GatsbyJS

ElasticSearch Reviews

Log analysis: Elasticsearch vs Apache Doris
Benchmark tests with ES Rally, the official testing tool for Elasticsearch, showed that Apache Doris was around 5 times as fast as Elasticsearch in data writing, 2.3 times as fast in queries, and it consumed only 1/5 of the storage space that Elasticsearch used. On the test dataset of HTTP logs, it achieved a writing speed of 550 MB/s and a compression ratio of 10:1.
Source: doris.apache.org
4 Leading Enterprise Search Software to Look For in 2022
“ We’ve built some big data search and mobile desktop applications that help our customers experience fast natural language search. Some applications require this, where I need to find data, I don’t want to build some complex query, I just need to ask the system “help me search for this information, narrow my results” and I don't want to wait several seconds. We’ve built a...
Source: ascendixtech.com
Top 10 Site Search Software Tools & Plugins for 2022
Elasticsearch is built for human users, which means that it’s equipped to handle mistakes that humans often make such as typos. This helps to improve search relevance and enhance the overall search experience. It offers real-time crawling, which automatically detects changes in content and ensures that search results are fresh and relevant.
Source: influencermarketinghub.com
Best Elasticsearch alternatives for search
However, when it comes to dealing with synonyms (i.e. ‘smart phone’ for ‘Samsung Galaxy’), slang (i.e. ‘kicks’ for ‘Nike Air Jordans’) and context (i.e. ‘car park’ is different to ‘dog park’) – you have to set up a bunch of manual rules/definitions with Elasticsearch and co.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Elasticsearch provides key features like Advanced Full-Text Search Capabilities like Data indexing, Search capabilities including phrases, wildcards, auto suggestions, filters & facets, etc... Elasticsearch can also be used for other use-cases like
Source: vishnuch.tech

GatsbyJS Reviews

Top JavaScript Frameworks in 2025
Gatsby JS is a free, open-source, React-based framework that is used to create static websites. It has a great ecosystem of plugins that serve various needs like sourcing data from CMSs, integrating tools, managing images using lazy loading, and more.
Source: solguruz.com
Top 10 Next.js Alternatives You Can Try
Gatsby allows you to add plugins with versatile functions and customization to increase your efficiency when developing websites. Here, you can use multiple styling approaches like Sass and CSS-in-JS library solutions to build web pages more smoothly. Moreover, using Gatsby as an alternative to Next.Js provides you with a complete learning guide to enhance your developing...
Source: www.zegocloud.com
20 Next.js Alternatives Worth Considering
A React-based maestro, Gatsby transforms the way sites come to life by hooking into a rich set of data sources. Picture this: a web that’s blazing fast, where your creations go live almost before you hit ‘publish’. That’s Gatsby for you. Inside its engine, it’s got GraphQL superpowers, making data dancing across your pages a breeze.
Source: tms-outsource.com
10 Best Next.js Alternatives to Consider Today
A React-based framework, Gatsby excels in crafting static websites renowned for their exceptional performance. Leveraging GraphQL, Gatsby efficiently pulls data from diverse sources, empowering developers to build dynamic, data-driven websites effortlessly. Its expansive plugin ecosystem allows seamless integration with various data providers, content management systems...
Source: www.saffrontech.net
20 Best JavaScript Frameworks For 2023
Gatsby lets users pull data from any data source imaginable – CMS like WordPress, Drupal, Netlify, Contentful, etc., or APIs, databases, or simple markdown. Unlike Next.js, which we discussed above, Gatsby does not perform server-side rendering. Instead, it generates HTML content on the client side during build time. As a result, Gatsby delivers blazing-fast performance,...
Source: www.lambdatest.com

Social recommendations and mentions

ElasticSearch might be a bit more popular than GatsbyJS. We know about 17 links to it since March 2021 and only 16 links to GatsbyJS. 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.

ElasticSearch mentions (17)

  • ElasticSearch from the Azure store or from Elastic.co?
    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
  • Hunspell on elastic.co cloud
    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: about 2 years ago
  • Creating a modern, SaaS website.. what am I missing?
    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: over 2 years ago
  • Ask HN: Who is hiring? (October 2022)
    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
  • Seeking clarification about which part of ElasticSearch to use for our website
    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
View more

GatsbyJS mentions (16)

  • React SEO: How to Build Search-Friendly Pages in React
    The most famous frameworks for developing SSR applications are Gatsby and Next.js. Although there are differences between them, their main goal is similar: to allow next-generation web applications to remain blazing-fast. - Source: dev.to / 2 months ago
  • External content for GatsbyJS
    If you enjoy React and want a standard-compliant and high performance web, you should look at GatsbyJS. - Source: dev.to / 10 months ago
  • Replatforming from Gatsby to Zola!
    Since around 2019 I have used Gatsby as my static site generator. Its plugin system makes it super feature extensible. It uses React under the hood which makes components easy to write and has tons of community support. Once I had a Gatsby site styled and running, publishing blog posts is fairly trivial:. - Source: dev.to / about 1 year ago
  • Build a Documentation Website with Gatsby in 10 Mins
    Smooth DOC is a ready-to-use Gatsby theme to create a documentation website. Creating a pro-quality website like this one takes weeks. Smooth DOC saves you time and lets you focus on the content. - Source: dev.to / over 1 year ago
  • Where to begin?
    I'd start with learning HTML and CSS first, then Javascript after those. There are a lot of free online resources for learning those. For websites, I use jekyll which is a great way to start off because there are a lot of community website templates that you can customize, which is great for beginners and learning. Then I'd recommend learning/moving to React. The Gatsby website generator would be good for React... Source: almost 3 years ago
View more

What are some alternatives?

When comparing ElasticSearch and GatsbyJS, you can also consider the following products

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.

Jekyll - Jekyll is a simple, blog aware, static site generator.

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

Hugo - Hugo is a general-purpose website framework for generating static web pages.

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.

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