Software Alternatives, Accelerators & Startups

Cohesity VS Hadoop

Compare Cohesity VS Hadoop and see what are their differences

Cohesity logo Cohesity

Cohesity brings together fractured secondary data sources into a single platform, helping companies store, protect, and learn from their data instantly.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Cohesity Landing page
    Landing page //
    2023-09-27
  • Hadoop Landing page
    Landing page //
    2021-09-17

Cohesity

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
California
City
San Jose
Founder(s)
Mohit Aron
Employees
1,000 - 1,999

Cohesity videos

2-minute: Cohesity Data Protection Overview

More videos:

  • Review - Cohesity vs. Legacy Solutions
  • Review - Cohesity Comprehensive Data Protection and Compliance

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 Cohesity and Hadoop)
Cloud Storage
100 100%
0% 0
Databases
0 0%
100% 100
Backup & Restore
100 100%
0% 0
Big Data
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 Cohesity and Hadoop

Cohesity Reviews

15 Best Acronis Alternatives 2022
Cohesity consolidates all of your disparate systems into a single, unified web-scale platform by using Cohesity.

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 a lot more popular than Cohesity. While we know about 15 links to Hadoop, we've tracked only 1 mention of Cohesity. 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.

Cohesity mentions (1)

  • Cohesity harassment
    Cohesity has been calling me for weeks now (and twice in the past hour) asking me to sign up for a webinar. I've had enough, and I've blocked cohesity.com from emailing anyone at my company. Source: over 2 years ago

Hadoop mentions (15)

View more

What are some alternatives?

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

Veeam - Veeam develops backup, disaster recovery and virtualization management software for VMware and Hyper-V virtual environments.

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

Rubrik - Rubrik delivers instant application availability for recovery, search, cloud, and development.

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

Druva - Druva is a converged data protection solution offering data center class availability and governance for the mobile workforce.

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