Apache Hadoop Archived Reviews (More than two years old)

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Senior Hadoop Engineer with 1,001-5,000 employees
Dec 08 2015

What is most valuable?

* Storage * Processing (cost efficient)

How has it helped my organization?

With the increase in data size for the business, this horizontal scalable appliance has answered every business question in terms of storage and processing. Hadoop… more»

What needs improvement?

The Apache team is doing great job and releasing Hadoop versions much ahead of what we can think about. Every room for improvement is fixed as soon as a version is… more»

What's my experience with pricing, setup cost, and licensing?

Best in pricing and licensing depends on the flavors, but remember it is only good if you have very large data set which cannot be handled by traditional RDBMS.

Which solution did I use previously and why did I switch?

We previously used Netezza. We switched because our business required a highly scalable appliance like Hadoop.

What other advice do I have?

First, understand your business requirement; second, evaluate the traditional RDBMS scalability and capability, and finally, if you have reached to the tip of an iceberg… more»

Which other solutions did I evaluate?

Cloud options.

What is Apache Hadoop?

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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 rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
Apache Hadoop customers
Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
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