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Hadoop VS Quarkus

Compare Hadoop VS Quarkus and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

Quarkus logo Quarkus

Quarkus: Supersonic Subatomic Java. . Contribute to quarkusio/quarkus development by creating an account on GitHub.
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • Quarkus Landing page
    Landing page //
    2023-08-29

Hadoop videos

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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

Quarkus videos

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Quarkus in Real-World Deployments

More videos:

  • Review - Secure your Quarkus applications | DevNation Tech Talk
  • Review - Hands-On Cloud-Native Applications with Java and Quarkus | 1. Introduction to Quarkus Core Concepts

Category Popularity

0-100% (relative to Hadoop and Quarkus)

Hadoop

Quarkus

Databases
100 100%
Databases
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Big Data
100 100%
Big Data
0% 0
Application And Data
0 0%
Application And Data
100% 100

User comments

Share your experience with using Hadoop and Quarkus. For example, how are they different and which one is better?
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Reviews

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

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.
Source: www.datacamp.com
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.
Source: www.analytixlabs.co.in
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...
Source: www.analyticsinsight.net

Quarkus Reviews

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

Based on our record, Hadoop seems to be a lot more popular than Quarkus. While we know about 15 links to Hadoop, we've tracked only 1 mention of Quarkus. 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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Quarkus mentions (1)

  • Quarkus fundamentals
    First of all, extensions are developed and maintained by the Quarkus team. You can find them on the Quarkus GitHub repository. They integrate seamlessly into the Quarkus architecture as they can be processed at build time and be built in native mode with GraalVM. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Hadoop and Quarkus, 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.

Guava - Google core libraries for Java 6+.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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

RxJava - RxJava – Reactive Extensions for the JVM is a library for composing asynchronous and event-based programs using observable sequences.

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