Altiscale vs Hortonworks Data Platform comparison

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Executive Summary

We performed a comparison between Altiscale and Hortonworks Data Platform 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: April 2024).
770,428 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "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
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    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 few use cases where the price was quite high. It was particularly expensive for… more »
    Top Answer: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. These platforms offer competitive storage… more »
    Ranking
    21st
    out of 22 in Hadoop
    Views
    24
    Comparisons
    9
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    6th
    out of 22 in Hadoop
    Views
    606
    Comparisons
    352
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    Comparisons
    Also Known As
    Hortonworks, HDP
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    Overview

    Liberate your data, by making it possible for any data analyst in your company to access and rapidly analyze data in the Hadoop data lake, without burdening your IT team. The Altiscale Insight Cloud handles both real-time and batch analytics, and connects easily to your favorite BI solutions.

    The Hortonworks Data Platform is acclaimed for its robust handling of big data, offering scalable solutions for data storage optimization and advanced analytics. Users benefit from its seamless processing of both streaming and batch data, and efficient maintenance of data lakes for improved governance. Key features include comprehensive security and seamless integration with existing analytics tools, significantly enhancing organizational efficiency and decision-making capabilities.

    Sample Customers
    Glu Mobile, Airpush, Devicescape, Visible Measures
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Top Industries
    No Data Available
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Comms Service Provider6%
    Outsourcing Company6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise14%
    Large Enterprise60%
    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.
    770,428 professionals have used our research since 2012.

    Altiscale is ranked 21st in Hadoop while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Altiscale is rated 0.0, while Hortonworks Data Platform is rated 8.0. On the other hand, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Altiscale is most compared with , whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric.

    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.