Apache Hadoop Benefits

RC
Senior Associate at a financial services firm with 10,001+ employees

The quick access to data enabled more frequent data backed decisions.

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SF
Analytics Platform Manager at a consultancy with 10,001+ employees

There is a lot of difference. I think the best case is that we are able to drill down to transactional records and really build a root-cause analysis for various issues that might arise, on demand. Because we're able to process in parallel, we don't have to wait for the big data warehouse engine. We process down what the data is and then build it up to an answer, and we can have an answer in an hour rather than 10 hours.

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it_user340983 - PeerSpot reviewer
Infrastructure Engineer at Zirous, Inc.

We do use the Hadoop platform internally, but mostly it is for R&D purposes. However, many of the recent projects that our IT consulting firm has taken on have deployed Hadoop as a solution to store high-velocity and highly variable data sizes and structures, and be able to process that data together quickly and efficiently.

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Buyer's Guide
Apache Hadoop
March 2024
Learn what your peers think about Apache Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
AM
CEO

Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges. 

We were using MySQL and PostgreSQL for these engagements, and scaling and processing were not as easy when compared to Hadoop. Also, customers who are embarking on a big journey with semi-structured information prefer to use Hadoop rather than a RDBMS stack. This gives them clarity on the requirements.

In addition, since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done.

Flexibility, ease of data processing, reduced cost and efforts are the three key improvements for us.

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MS
Works

Using this solution has reduced the overall TCO. It has also improved data processing time for the machine and provides greater insight into our unstructured data.

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it_user265830 - PeerSpot reviewer
Senior Hadoop Engineer with 1,001-5,000 employees

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 ecosystem has not only provided a reliable distributed aggregation system but has also allowed room for analytics which has resulted in great data insights.

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MB
IT Expert at a comms service provider with 1,001-5,000 employees

It helps us work with older products and more easily create solutions. 

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it_user693231 - PeerSpot reviewer
Big Data Engineer at a tech vendor with 5,001-10,000 employees

After switching to big data pipelines, our query performance improved a hundred times.

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Abhik Ray - PeerSpot reviewer
Co-Founder at Quantic

Using this solution has allowed us to consolidate the data. It has made it such that data science-based algorithms can be written for predictive analytics.

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it_user576504 - PeerSpot reviewer
Software Architect at a tech services company with 10,001+ employees

We start with data mashing on Hive and finally use this for KPI visualization. This intermediate step not only mashes data in the form that we want through data Cube slicing, but also helps us save states as snapshots for multiple time frames.

Without this, we would have had to plan another data source for only this purpose. Moving this step closer to processing worked better than keeping it at visualization. Although we can't completely avoid using data stores/snapshots at visualization, this step proved to be promising for getting data ready for better analytics and insights.

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Buyer's Guide
Apache Hadoop
March 2024
Learn what your peers think about Apache Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.