Software Alternatives & Reviews

Sphinx VS Hadoop

Compare Sphinx VS Hadoop and see what are their differences

Sphinx logo Sphinx

Sphinx was originally created for the Python documentation. It is the most recommended and well documented documentation generator. A tool that actually makes programmers want to write documentation!

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Sphinx Landing page
    Landing page //
    2023-05-09
  • Hadoop Landing page
    Landing page //
    2021-09-17

Sphinx videos

Sphinx and the Cursed Mummy Switch Review (A Forgotten CLASSIC?)

More videos:

  • Review - Sphinx and the Cursed Mummy - Nitro Rad
  • Review - Kriss Sphinx SDP Compact Review

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

Category Popularity

0-100% (relative to Sphinx and Hadoop)
Relational Databases
25 25%
75% 75
Databases
10 10%
90% 90
Big Data
0 0%
100% 100
NoSQL Databases
100 100%
0% 0

User comments

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Reviews

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

Sphinx Reviews

We have no reviews of Sphinx yet.
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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...

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 15 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.

Sphinx mentions (0)

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

Hadoop mentions (15)

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What are some alternatives?

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

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

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

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

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