Cloudera DataFlow vs Hortonworks Data Platform comparison

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Executive Summary

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

Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: March 2024).
765,386 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:
Pros
"The initial setup was not so difficult""This solution is very scalable and robust.""DataFlow's performance is okay."

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"It is a scalable platform.""Hortonworks should not be expensive at all to those looking into using it.""The upgrades and patches must come from Hortonworks.""Distributed computing, secure containerization, and governance capabilities are the most valuable features.""The product offers a fairly easy setup process.""The data platform is pretty neat. The workflow is also really good.""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.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."

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Cons
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning.""It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists.""Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."

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"Deleting any service requires a lot of clean up, unlike Cloudera.""More information could be there to simplify the process of running the product.""Security and workload management need improvement.""It would also be nice if there were less coding involved.""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.""The version control of the software is also an issue.""I would like to see more support for containers such as Docker and OpenShift."

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Pricing and Cost Advice
  • "DataFlow isn't expensive, but its value for money isn't great."
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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."
  • More Hortonworks Data Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The initial setup was not so difficult
    Top Answer:It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning. This feature could be improved.
    Top Answer:Sometimes I need this workflow to make my modules, not for campaign preparation. It is solely focused on developing quality modules for direct telecommunication companies.
    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
    13th
    out of 38 in Streaming Analytics
    Views
    1,988
    Comparisons
    1,068
    Reviews
    3
    Average Words per Review
    288
    Rating
    6.7
    6th
    out of 22 in Hadoop
    Views
    663
    Comparisons
    389
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    Comparisons
    Also Known As
    CDF, Hortonworks DataFlow, HDF
    Hortonworks, HDP
    Learn More
    Overview

    Cloudera DataFlow (CDF) is a comprehensive edge-to-cloud real-time streaming data platform that gathers, curates, and analyzes data to provide customers with useful insight for immediately actionable intelligence. It resolves issues with real-time stream processing, streaming analytics, data provenance, and data ingestion from IoT devices and other sources that are associated with data in motion. Cloudera DataFlow enables secure and controlled data intake, data transformation, and content routing because it is built entirely on open-source technologies. With regard to all of your strategic digital projects, Cloudera DataFlow enables you to provide a superior customer experience, increase operational effectiveness, and maintain a competitive edge.

    With Cloudera DataFlow, you can take the next step in modernizing your data streams by connecting your on-premises flow management, streams messaging, and stream processing and analytics capabilities to the public cloud.

    Cloudera DataFlow Advantage Features

    Cloudera DataFlow has many valuable key features. Some of the most useful ones include:

    • Edge and flow management: Edge agents and an edge management hub work together to provide the edge management capability. Edge agents can be managed, controlled, and watched over in order to gather information from edge hardware and push intelligence back to the edge. Thousands of edge devices can now be used to design, deploy, run, and monitor edge flow apps. Edge Flow Manager (EFM) is an agent management hub that enables the development, deployment, and monitoring of edge flows on thousands of MiNiFi agents using a graphical flow-based programming model.
    • Streams messaging: The CDF platform guarantees that all ingested data streams can be temporarily buffered so that other applications can use the data as needed. This makes it possible for a business to scale efficiently, as data streams from thousands of origination points start to grow to petabyte sizes. To achieve IoT-scale, streams messaging allows you to buffer large data streams using a publish-subscribe strategy.
    • Stream analytics and processing: The third tenet of the CDF platform is its capacity to analyze incoming data streams in real time and with minimal latency, providing actionable intelligence in the form of predictive and prescriptive insights. This stage is essential to completing the Data-in-Motion lifecycle for an enterprise because there is only a use in absorbing all real-time streams if something useful is done with them in the moment to benefit your company.
    • Shared Data Experience (SDX): The most crucial component that transforms CDF into a genuine platform is Cloudera Data Platform's SDX. It is a powerful data fabric that offers the broadest possible deployment flexibility and guarantees total security, governance, and control across infrastructures. You get a single experience for security (with Apache Ranger), governance (with Apache Atlas), and data lineage from edge to cloud because all the CDF components seamlessly connect with SDX.

    Cloudera DataFlow Advantage Benefits

    There are many benefits to implementing Cloudera DataFlow . Some of the biggest advantages the solution offers include:

    • Completely open source: Invest in your architecture with confidence, knowing that there will be no vendor lock-in.
    • More than 300 pre-built processors: This is the only product that provides edge-to-cloud connection this comprehensive as well as a no-code user experience
    • Integrated data provenance: The market's only platform that offers out-of-the-box, end-to-end data lineage tracking and provenance across MiNiFi, NiFi, Kafka, Flink, and more.
    • Multiple stream processing engines to choose from: Supports Spark structured streaming, Kafka Streams, and Apache Flink for real-time insights and predictive analytics.
    • Hundred of Kafka consumers: Cloudera has hundreds of satisfied customers who receive exceptional support for their complex Kafka implementations.
    • Use cases for edge IoT: IoT data from thousands of endpoints may be easily collected, processed, and managed from the edge to the cloud with a multi-cloud/hybrid cloud strategy.
    • Hybrid/multi-cloud approach: Choose a flexible deployment option for your streaming architecture that spans across edge, on-premises, and various cloud environments with ease thanks to the power of CDP.

    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
    Clearsense
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm14%
    University8%
    Educational Organization7%
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Government6%
    Outsourcing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise13%
    Large Enterprise61%
    Buyer's Guide
    Streaming Analytics
    March 2024
    Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Cloudera DataFlow is ranked 13th in Streaming Analytics with 3 reviews while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Cloudera DataFlow is rated 6.6, while Hortonworks Data Platform is rated 8.0. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Spring Cloud Data Flow and Informatica Data Engineering Streaming, whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark and HPE Ezmeral Data Fabric.

    We monitor all Streaming Analytics 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.