Software Alternatives & Reviews

Hadoop VS GraphQL

Compare Hadoop VS GraphQL and see what are their differences

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • GraphQL Landing page
    Landing page //
    2023-08-01

Hadoop

Categories
  • Databases
  • NoSQL Databases
  • Big Data
  • Relational Databases
Website hadoop.apache.org
Details $

GraphQL

Categories
  • Developer Tools
  • Web Frameworks
  • JavaScript Framework
  • Javascript UI Libraries
Website graphql.org
Details $

Hadoop videos

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

GraphQL videos

REST vs. GraphQL: Critical Look

More videos:

  • Review - REST vs GraphQL - What's the best kind of API?
  • Review - What Is GraphQL?

Category Popularity

0-100% (relative to Hadoop and GraphQL)
Databases
100 100%
0% 0
Developer Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Javascript UI Libraries
0 0%
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 Hadoop and GraphQL

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...

GraphQL Reviews

We have no reviews of GraphQL yet.
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Social recommendations and mentions

Based on our record, GraphQL seems to be a lot more popular than Hadoop. While we know about 223 links to GraphQL, we've tracked only 15 mentions of Hadoop. 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.

Hadoop mentions (15)

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GraphQL mentions (223)

  • Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
    GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / 9 days ago
  • Type-Safe Fetch with Next.js, Strapi, and OpenAPI
    When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / 17 days ago
  • REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
    REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / 23 days ago
  • Gatsby tutorial: Build a static site with a headless CMS
    A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications. - Source: dev.to / 28 days ago
  • Rust GraphQL APIs for NodeJS Developers: Introduction
    In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Hadoop and GraphQL, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Next.js - A small framework for server-rendered universal JavaScript apps

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

React - A JavaScript library for building user interfaces