TrustRadius Insights
Hadoop has been widely adopted by organizations for various use cases. One of its key use cases is in storing and analyzing log data, …
Overview
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.
Recent Reviews
Product Demos
Installation of Apache Hadoop 2.x or Cloudera CDH5 on Ubuntu | Hadoop Practical Demo
YouTube
Big Data Complete Course and Hadoop Demo Step by Step | Big Data Tutorial for Beginners | Scaler
YouTube
Hadoop Tutorial For Beginners | Apache Hadoop Tutorial For Beginners | Hadoop Tutorial | Simplilearn
YouTube
Product Details
- About
- Tech Details
- FAQs
What is Hadoop?
Hadoop Video
What is Hadoop?
Hadoop Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Reviewers rate Data Sources highest, with a score of 8.7.
The most common users of Hadoop are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(270)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
Hadoop has been widely adopted by organizations for various use cases. One of its key use cases is in storing and analyzing log data, financial data from systems like JD Edwards, and retail catalog and session data for an omnichannel experience. Users have found that Hadoop's distributed processing capabilities allow for efficient and cost-effective storage and analysis of large amounts of data. It has been particularly helpful in reducing storage costs and improving performance when dealing with massive data sets. Furthermore, Hadoop enables the creation of a consistent data store that can be integrated across platforms, making it easier for different departments within organizations to collect, store, and analyze data. Users have also leveraged Hadoop to gain insights into business data, analyze patterns, and solve big data modeling problems. The user-friendly nature of Hadoop has made it accessible to users who are not necessarily experts in big data technologies. Additionally, Hadoop is utilized for ETL processing, data streaming, transformation, and querying data using Hive. Its ability to serve as a large volume ETL platform and crunching engine for analytical and statistical models has attracted users who were previously reliant on MySQL data warehouses. They have observed faster query performance with Hadoop compared to traditional solutions. Another significant use case for Hadoop is secure storage without high costs. Hadoop efficiently stores and processes large amounts of data, addressing the problem of secure storage without breaking the bank. Moreover, Hadoop enables parallel processing on large datasets, making it a popular choice for data storage, backup, and machine learning analytics. Organizations have found that it helps maintain and process huge amounts of data efficiently while providing high availability, scalability, and cost efficiency. Hadoop's versatility extends beyond commercial applications—it is also used in research computing clusters to complete tasks faster using the MapReduce framework. Finally, the Systems and IT department relies on Hadoop to create data pipelines and consult on potential projects involving Hadoop. Overall, the use cases of Hadoop span across industries and departments, providing valuable solutions for data collection, storage, and analysis.
Attribute Ratings
Reviews
(1-25 of 26)Companies can't remove reviews or game the system. Here's why
April 11, 2022
Hadoop: A Robust Big Data Platform
- 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.
August 17, 2021
Great enterprise tool for handling large data
- 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.
July 21, 2021
Good tool for unstructured data
- 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.
- Makes all of the company's data easily accessible via a SQL interface
- Allows affordable data storage
January 16, 2021
Apache Hadoop Can Save on the Headaches
- 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.
September 21, 2020
Hadoop -- Great Value for What You Pay
- 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.
September 20, 2020
Fault Tolerance and High Availablility Made Easy with Hadoop
- Positive: easy implementation
- Positive: ease of scalability
- Positive: ease of distributing data and workloads
- Positive: low cost
- Positive: low learning curve
June 05, 2019
Hadoop vs. Alternatives
- 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
- 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.
March 28, 2018
Great Option for Unstructured Data
- Too many Hadoop projects have community focus divided; this causes some bug fixes to happen slow
- Mindset change among business partners
- Adopting Hadoop/MapReduce has a learning curve
January 04, 2018
Hadoop is pretty Badass
- It has made us respect the sheer volume of Big data.
- It helps us update our dashboards.
- It's easier to think big with Hadoop.
December 13, 2017
Hadoop: Highly available, scalable and cost effective for big data storage and processing.
- 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.
October 24, 2017
Hadoop for Justifying Business Decisions with Hard Data
- 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.
September 22, 2017
Hadoop review 2346
- Cost reduction
- Time to market
- Abundant tools
August 24, 2017
Hadoop for Big Data
- 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.
June 03, 2016
A newbie's look at Hadoop
- 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.
May 26, 2016
Experience with Hadoop by a novice user.
- 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.
- Reduced costs of hardware due to support for generic hardware
- Improved time and cost of data analysis
November 11, 2015
Advantage Hadoopo
Score 10 out of 10
Vetted Review
Verified User
- You dont need to pay a heavy licensing fee for Hadoop. You save money.
- It is open source technology so some times you need to purchase support from Cloudera or Hortonworks.
August 19, 2015
Hadoop - You Can Tame the Elephant
Score 10 out of 10
Vetted Review
Verified User
- 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.
April 29, 2015
Hadoop for better economy and efficiency
Score 7 out of 10
Vetted Review
Verified User
- We had a large ROI due to improved performance and expedited reporting - our clients were happier and business improved
- Our storage costs reduced
- Our infrastructure costs reduced - we used old hardware for our Hadoop cluster
March 20, 2015
Hadoop review
Score 8 out of 10
Vetted Review
Verified User
- Fast ETL and realtime streaming data
- Transformation and loading jobs are orchestrated using Oozie
February 04, 2015
Benefits of using Hadoop
Score 9 out of 10
Vetted Review
Verified User
- faster data processing
January 19, 2015
Hadoop >>>> Traditional proprietary Systems
Score 10 out of 10
Vetted Review
Verified User
- MapReduce jobs run way faster when compared to traditional batch processing jobs resulting in getting better value of data
- Since Hadoop is free , lots of cost savings
- Since it is distributed, no fear of data failures
May 09, 2014
User Review of Hadoop
Score 10 out of 10
Vetted Review
Verified User
- Hadoop has made it possible to implement projects that require large amounts of data from a diverse set of source systems.
- Hadoop has also taken load off the Enterprise Data Warehouse space by absorbing some of the analytics and model building work.