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Amazon EMR vs Informatica Big Data Parser comparison

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Featured Review
Prashant Singh
Easy to manage and reliable but the cost is hard to control
It's made life very easy. Now, a lot of things are very automated.
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Buyer's Guide
Hadoop
July 2022
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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."

    • More Amazon EMR Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about Amazon EMR?
    Top Answer:The initial setup is pretty straightforward.
    What is your experience regarding pricing and costs for Amazon EMR?
    Top Answer:The price of the solution may be a bit more than other competitors, such as Microsoft.
    What needs improvement with Amazon EMR?
    Top Answer:The dashboard management could be better. Right now, it's lacking a bit. I'd like more of a remote connection between my computer and the solution. We have multi-factor authentication, and at one… more »
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    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,226
    Comparisons
    1,849
    Reviews
    5
    Average Words per Review
    445
    Rating
    7.0
    8th
    out of 22 in Hadoop
    Views
    401
    Comparisons
    355
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Big Data Parser
    Learn More
    Amazon
    Informatica
    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.

    Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

    Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

    Offer
    Learn more about Amazon EMR
    Learn More
    Learn more about Informatica Big Data Parser
    Learn More
    Sample Customers
    Yelp
    Western Union, UPMC, BNY Mellon
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company24%
    Financial Services Firm12%
    Comms Service Provider12%
    Media Company11%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider19%
    Financial Services Firm11%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise30%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise11%
    Large Enterprise80%
    Buyer's Guide
    Hadoop
    July 2022
    Download Free Report
    Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: July 2022.
    DOWNLOAD NOW
    622,063 professionals have used our research since 2012.

    Amazon EMR is ranked 3rd in Hadoop with 5 reviews while Informatica Big Data Parser is ranked 8th in Hadoop. Amazon EMR is rated 7.0, while Informatica Big Data Parser is rated 0.0. The top reviewer of Amazon EMR writes "Stable, scalable, and has all the necessary distributions ". On the other hand, Amazon EMR is most compared with Cloudera Distribution for Hadoop, Snowflake, AWS Lake Formation, Apache Spark and Hortonworks Data Platform, whereas Informatica Big Data Parser is most compared with Apache Spark, HPE Ezmeral Data Fabric and Spark SQL.

    See our list of best Hadoop vendors.

    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.