Hadoop

Hadoop

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Score 8.5 out of 100
Apache Hadoop

Overview

Recent Reviews

Hadoop vs. Alternatives

8 out of 10
June 05, 2019
It is being used at our Fortune 500 clients. It is great for storage, but it is not well understood by the business. The challenge is that …
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Hadoop Review

7 out of 10
May 16, 2018
It is massively being used in our organization for data storage, data backup, and machine learning analytics. Managing vast amounts of …
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Hadoop is pretty Badass

9 out of 10
January 04, 2018
Apache Hadoop is a cost effective solution for storing and managing vast amounts of data efficiently. It is dependable and works even when …
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Hadoop review 2346

9 out of 10
September 22, 2017
Hadoop is used to build a data lake where all enterprise data for my entire company can be stored. With data centralization and …
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What is Hadoop?

Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.

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Features Scorecard

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Product Details

What is Hadoop?

Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.

Hadoop Video

What is Hadoop?

Hadoop Integrations

  • Sematext Infrastructure Monitoring (formerly Sematext SPM)

Hadoop Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Frequently Asked Questions

What is Hadoop?

Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.

What is Hadoop's best feature?

Reviewers rate Data Sources highest, with a score of 8.7.

Who uses Hadoop?

The most common users of Hadoop are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Reviews

(1-25 of 27)
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Kunal Sonalkar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Positive: it is powerful, and it allows you to manage your data on a very big scale.
  • Negative: since its computationally expensive, the laptops were upgraded and that was pretty heavy on financials.
  • Positive: it also has given us the power to make data-driven decisions anytime and anywhere.
Chantel Moreno | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
Peter Suter | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Apache Hadoop can handle even large amounts of data as well for business-level purposes.
  • HDFS also keeps data files across the machines by distinguishing them into larger blocks and then distributing them across nodes.
  • It is keeping a great role in the growth of our organization.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Positive as we have saved money on hardware (and software costs) as data scaling as increased in the last several years.
  • Positive as I said earlier as the design of Hadoop allows for a natural split of the dataflows and less data to be "shoved into" the vertical data stack. This saves money and is naturally more efficient.
  • Negative, where we need expertise to manage the Hadoop datastacks due to the learning curves.
Blake Baron | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • It's half the price of our more premium data storage, so we've saved 50% on costs there.
  • Figure it's about half as fast, so it takes 2x as long for queries to execute.
  • We utilize Hadoop cloud storage, so we've been able to reduce onsite maintenance costs.
Gene Baker | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Positive: easy implementation
  • Positive: ease of scalability
  • Positive: ease of distributing data and workloads
  • Positive: low cost
  • Positive: low learning curve
Mark McCully | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
  • Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
  • Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Hadoop was thought to be cheap, but it is actually a very expensive proposition.
  • Support is required for Hadoop, so it is not free from a support perspective.
  • The overall benefit of Hadoop is extensive scale out storage and processing, but it is difficult to tie it to ROI in a major corporation.
May 16, 2018

Hadoop Review

Kartik Chavan | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Positive impact as this is the future. Abundance of tools
  • Return on Investment is high, as Big Data helps make better decisions
  • Hadoop has made it possible to implement projects that require large amounts of data from a diverse set of source systems.
Johanes Siregar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Hadoop as a huge impact on reducing the cost of data storage in our organization.
  • Other then that it also serves as low-cost big data processing framework.
  • The use of commodity hardware for the physical layer greatly reduces technological dependency on proprietary products.
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Hadoop has an amazing potential for ROI if implemented properly to justify business decisions.
  • Hadoop can allow groups to understand how their work is impacting performance at a high level, such as page clicks, where people are spending their time, how users are engaging with the application, etc.
August 24, 2017

Hadoop for Big Data

Vinay Suneja | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Positive as this is the future.
  • You can analyze data which you cannot do with traditional RDBMS.
  • Overall it is a win win if you implement it as a side car for doing new analytics without breaking your current operations and then eventually tying up with the eco system.
Mark Gargiulo | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • With our current platform (and budget) hadoop is really the only option at this time to gain access to the capacity and technologies we require.
  • So far the only real investment has been hardware and man hours, especially in the initial learning and deployment phase.
Muhammad Fazalul Rahman | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • I did not have to invest anything in particular. I was able to complete tasks much faster with Hadoop, which helped me save a lot of time.
  • When I started using Hadoop, I was trying to finish a project that was taking too long to execute. But since I was not so experienced with Hadoop, I took a long time to use it. This made me miss the deadline.
Michael Reynolds | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Because Hadoop is open source, the cost is basically limited to the hardware. However, organizations with large clusters might want to invest in support services from companies like Cloudera or Hortonworks.