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Hadoop VS SAFE TOOLBOXES

Compare Hadoop VS SAFE TOOLBOXES 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

SAFE TOOLBOXES logo SAFE TOOLBOXES

SAFE TOOLBOXES is an Excel add-in that enhances Excel capabilities to perform simulations...
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • SAFE TOOLBOXES Landing page
    Landing page //
    2021-10-11

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

SAFE TOOLBOXES videos

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Category Popularity

0-100% (relative to Hadoop and SAFE TOOLBOXES)

Hadoop

SAFE TOOLBOXES

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Data Dashboard
0 0%
Data Dashboard
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 SAFE TOOLBOXES

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

SAFE TOOLBOXES Reviews

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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.

Hadoop mentions (15)

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SAFE TOOLBOXES mentions (0)

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

What are some alternatives?

When comparing Hadoop and SAFE TOOLBOXES, 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.

Mplus - Mplus is a statistical modeling program used by social scientists, health researchers, market researchers, and educators.

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

gretl - homepage of gretl, the Gnu Regression, Econometrics and Time-series Library

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

EViews - EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...

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