Amazon EMR vs IBM Analytics Engine comparison

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Amazon Web Services (AWS) Logo
2,108 views|1,795 comparisons
85% willing to recommend
IBM Logo
140 views|61 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EMR and IBM Analytics Engine based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: May 2024).
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Featured Review
Saket Pandey
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It allows users to access the data through a web interface.""When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark.""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.""Amazon EMR's most valuable features are processing speed and data storage capacity.""The solution is scalable.""This is the best tool for hosts and it's really flexible and scalable.""The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.""It has a variety of options and support systems."

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"The best part was that we could make minor changes in the way we were bifurcating the data, even at a very small scale. The accuracy of conversion was also very high."

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Cons
"The most complicated thing is configuring to the cluster and ensure it's running correctly.""The product's features for storing data in static clusters could be better.""There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange.""Modules and strategies should be better handled and notified early in advance.""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 room for improvement in pricing.""The product must add some of the latest technologies to provide more flexibility to the users.""The legacy versions of the solution are not supported in the new versions."

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"One area for improvement would be the initial setup stage, which took longer than expected."

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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 →

    Information Not Available
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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 flexibility in managing user data.
    Top Answer:The best part was that we could make minor changes in the way we were bifurcating the data, even at a very small scale. The accuracy of conversion was also very high.
    Top Answer:For large enterprises, it's a costly solution. I'd rate its pricing around seven out of ten.
    Top Answer:One area for improvement would be the initial setup stage, which took longer than expected. However, the support team was helpful. If the technical requirements for setup were reduced, the solution… more »
    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,108
    Comparisons
    1,795
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    8th
    out of 22 in Hadoop
    Views
    140
    Comparisons
    61
    Reviews
    1
    Average Words per Review
    640
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    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.

    IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of compute notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms.

    Sample Customers
    Yelp
    Information Not Available
    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%
    No Data Available
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Hadoop
    May 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    Amazon EMR is ranked 3rd in Hadoop with 20 reviews while IBM Analytics Engine is ranked 8th in Hadoop with 1 review. Amazon EMR is rated 7.8, while IBM Analytics Engine is rated 8.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of IBM Analytics Engine writes " Good solution for small and medium-sized businesses and highly stable". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas IBM Analytics Engine is most compared with HPE Ezmeral Data Fabric.

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    We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.