Software Alternatives, Accelerators & Startups

GraphQL VS Apache Kudu

Compare GraphQL VS Apache Kudu and see what are their differences

GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • GraphQL Landing page
    Landing page //
    2023-08-01
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

GraphQL videos

REST vs. GraphQL: Critical Look

More videos:

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

Apache Kudu videos

Apache Kudu and Spark SQL for Fast Analytics on Fast Data (Mike Percy)

More videos:

  • Review - Apache Kudu (Incubating): New Hadoop Storage for Fast Analytics on Fast Data
  • Review - Apache Kudu: Fast Analytics on Fast Data | DataEngConf SF '16

Category Popularity

0-100% (relative to GraphQL and Apache Kudu)
Developer Tools
100 100%
0% 0
Technical Computing
0 0%
100% 100
JavaScript Framework
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, GraphQL seems to be more popular. It has been mentiond 229 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.

GraphQL mentions (229)

  • 33 front-end development tools developers use in 2024
    A headless CMS delivers content using APIs, often RESTful or GraphQL, allowing front-end developers to fetch material dynamically. This strategy makes it easier to integrate content into apps and helps developers structure their data retrieval more efficiently. - Source: dev.to / about 15 hours ago
  • Migrating from REST to GraphQL: A Step-by-Step Guide
    In recent years, GraphQL has emerged as a powerful alternative to REST for API development. Created by Facebook in 2012 and open-sourced in 2015, GraphQL offers a more flexible and efficient approach to data querying and manipulation. If you're considering migrating your existing REST APIs to GraphQL, this step-by-step guide will help you navigate the transition smoothly. - Source: dev.to / 13 days ago
  • Using GraphQL with Node.js (e.g., Apollo Server)
    Feel free to check out the official documentation of Apollo Server and GraphQL for more detailed information on advanced topics and best practices. Happy coding! - Source: dev.to / 15 days ago
  • Build a Personal Target Tracking Application with Flutter Riverpod and Strapi GraphQL
    Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / 22 days ago
  • Difference between GraphQL, REST, and gRPC
    On the other hand, GraphQL is a query language for APIs that was developed by Facebook. It allows clients to specify exactly what data they need, and the server responds with only that data. - Source: dev.to / about 1 month ago
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Apache Kudu mentions (0)

We have not tracked any mentions of Apache Kudu yet. Tracking of Apache Kudu recommendations started around Mar 2021.

What are some alternatives?

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

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

React - A JavaScript library for building user interfaces

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.