Hortonworks Data Platform vs QueryIO comparison

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Executive Summary

We performed a comparison between Hortonworks Data Platform and QueryIO based on real PeerSpot user reviews.

Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Marco Reyes
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The upgrades and patches must come from Hortonworks.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.""Ambari Web UI: user-friendly.""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.""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 scalability is the key reason why we are on this platform.""It is a scalable platform.""The product offers a fairly easy setup process."

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"Anyone who has even a little bit of knowledge of the solution can begin to create things. You don't have to be technical to use the solution."

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Cons
"Deleting any service requires a lot of clean up, unlike Cloudera.""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.""The cost of the solution is high and there is room for improvement.""Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases.""Security and workload management need improvement.""More information could be there to simplify the process of running the product.""I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors.""It's at end of life and no longer will there be improvements."

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"There needs to be some simplification of the user interface."

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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."
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    Questions from the Community
    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 »
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    Ranking
    6th
    out of 22 in Hadoop
    Views
    663
    Comparisons
    389
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    16th
    out of 22 in Hadoop
    Views
    74
    Comparisons
    58
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Hortonworks, HDP
    Learn More
    QueryIO
    Video Not Available
    Overview
    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.
    QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
    Sample Customers
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Information Not Available
    Top Industries
    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 Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise13%
    Large Enterprise61%
    No Data Available
    Buyer's Guide
    Hadoop
    March 2024
    Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews while QueryIO is ranked 16th in Hadoop. Hortonworks Data Platform is rated 8.0, while QueryIO is rated 8.0. The top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". On the other hand, the top reviewer of QueryIO writes "Stable with good connectivity and good integration capabilities". Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric, whereas QueryIO is most compared with Splice Machine.

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