Datameer vs Hortonworks Data Platform comparison

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Datameer Logo
48 views|43 comparisons
40% willing to recommend
Cloudera Logo
606 views|352 comparisons
89% willing to recommend
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Pricing and Cost Advice
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  • "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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    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
    1st
    out of 8 in BI on Hadoop
    Views
    48
    Comparisons
    43
    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
    Learn More
    Overview
    Datameer specializes in analysis of large volumes of data for business users of Apache Hadoop. The company's product, Datameer Analytics Solution (DAS), is a business integration platform for Hadoop and includes data source integration, an analytics engine with a spreadsheet interface designed for business users with over 200 analytic functions and visualization including reports, charts and dashboards. DAS is available for major Hadoop distributions including Apache, Cloudera, EMC Greenplum HD, IBM BigInsights, MapR, Yahoo! and Amazon.
    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.
    Sample Customers
    Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
    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 Enterprise13%
    Large Enterprise61%

    Datameer is ranked 1st in BI on Hadoop while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Datameer is rated 7.2, while Hortonworks Data Platform is rated 8.0. The top reviewer of Datameer writes "It has got basic and advanced functions of SQL, but there are issues when saving the workbook or applying any filtering criteria". On the other hand, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Datameer is most compared with Databricks, whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric.

    We monitor all BI on 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.