Amazon EMR vs Hortonworks Data Platform vs IBM InfoSphere BigInsights [EOL] comparison

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2,149 views|1,834 comparisons
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627 views|364 comparisons
89% willing to recommend
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83% willing to recommend
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Executive Summary

We performed a comparison between Amazon EMR, Hortonworks Data Platform, and IBM InfoSphere BigInsights [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance.""It allows users to access the data through a web interface.""The solution is scalable.""The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.""When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark.""Amazon EMR is a good solution that can be used to manage big data.""This is the best tool for hosts and it's really flexible and scalable.""We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."

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"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request.""The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers.""Ambari Web UI: user-friendly.""The data platform is pretty neat. The workflow is also really good.""It is a scalable platform.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.""The product offers a fairly easy setup process.""The upgrades and patches must come from Hortonworks."

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"InfoSphere Streams was the one core product from the platform in which we were using. We were building a real-time response system and we built it on InfoSphere Streams."

More IBM InfoSphere BigInsights [EOL] Pros →

Cons
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana.""The product must add some of the latest technologies to provide more flexibility to the users.""The problem for us is it starts very slow.""We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part.""There is no need to pay extra for third-party software.""As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data.""The legacy versions of the solution are not supported in the new versions.""The initial setup was time-consuming."

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"Security and workload management need improvement.""Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases.""More information could be there to simplify the process of running the product.""Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS.""It would also be nice if there were less coding involved.""The cost of the solution is high and there is room for improvement.""I would like to see more support for containers such as Docker and OpenShift.""It's at end of life and no longer will there be improvements."

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"The UI was not interactive: Responses used to be very slow and hang up at times."

More IBM InfoSphere BigInsights [EOL] Cons →

Pricing and Cost Advice
  • "You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."
  • "The cost of Amazon EMR is very high."
  • "The price of the solution is expensive."
  • "Amazon EMR's price is reasonable."
  • "There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
  • "There is no need to pay extra for third-party software."
  • "Amazon EMR is not very expensive."
  • "The product is not cheap, but it is not expensive."
  • More Amazon EMR Pricing and Cost Advice →

  • "It is priced well and it is affordable"
  • "Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
  • More Hortonworks Data Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon EMR is a good solution that can be used to manage big data.
    Top Answer:As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more… more »
    Top Answer:Distributed computing, secure containerization, and governance capabilities are the most valuable features.
    Top Answer:I haven't done a price analysis specifically for HDP. However, when it was first introduced as Hadoop 2.0, there were a… more »
    Top Answer:Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage… more »
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    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,149
    Comparisons
    1,834
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    6th
    out of 22 in Hadoop
    Views
    627
    Comparisons
    364
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    Unranked
    In Hadoop
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Hortonworks, HDP
    InfoSphere BigInsights
    Learn More
    Overview
    Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.
    Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world's data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data.
    IBM BigInsights delivers a rich set of advanced analytics capabilities that allows enterprises to analyze massive volumes of structured and unstructured data in its native format. The software combines open source Apache Hadoop with IBM innovations including sophisticated text analytics, IBM BigSheets for data exploration, IBM Big SQL for SQL access to data in Hadoop, and a range of performance, security and administrative features. The result is a cost-effective and user-friendly solution for complex, big data analytics.
    Sample Customers
    Yelp
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Coherent Path Inc., Optibus, Delhaize America, Diyotta Inc., Ernst & Young, Teikoku Databank Ltd., NCSU, Vestas
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Media Company18%
    Wholesaler/Distributor18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Government6%
    Outsourcing Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise13%
    Large Enterprise61%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    767,847 professionals have used our research since 2012.