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Apache Hadoop vs Yellowbrick Cloud Data Warehouse comparison

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Apache Hadoop
Read 33 Apache Hadoop reviews
2,467 views|2,110 comparisons
87% willing to recommend
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Yellowbrick Cloud Data Warehouse
275 views|220 comparisons
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Buyer's Guide
Cloud Data Warehouse
April 2024
Executive Summary

We performed a comparison between Apache Hadoop and Yellowbrick Cloud Data Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: April 2024).
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771,212 professionals have used our research since 2012.
Featured Review
Akhilesh Chipre
Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge
We primarily use Kafka for intensive data streaming. For batch-based processing, we use Hadoop. Additionally, we have our own custom batch catalog... Read more →
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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
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • "We just use the free version."

    • More Apache Hadoop Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about Apache Hadoop?
    Top Answer:It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
    Read all 25 answers   →
    What is your experience regarding pricing and costs for Apache Hadoop?
    Top Answer:We just use the free version.
    Read all 8 answers   →
    What needs improvement with Apache Hadoop?
    Top Answer:Since it is an open-source product, there won't be much support. So, you have to have deeper knowledge. You need to improvise based on that.
    Read all 25 answers   →
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    Earn 20 points

    Ranking
    5th
    out of 35 in Data Warehouse
    Views
    2,467
    Comparisons
    2,110
    Reviews
    11
    Average Words per Review
    563
    Rating
    7.9
    16th
    out of 18 in Cloud Data Warehouse
    Views
    275
    Comparisons
    220
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Apache
    Yellowbrick Data
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    Introducing the Yellowbrick Cloud Data Warehouse – overcome the scale, cost and performance challenges posed by traditional cloud data warehouses. Multi-cloud support allows customers to connect multiple public and private clouds to a single Yellowbrick Cloud Data Warehouse. Support the applications, users and public clouds of your choice.

    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Clarity, Symphony Retail, Teoco, Overstock, ThreatMetrix
    Top Industries
    REVIEWERS
    Financial Services Firm35%
    Comms Service Provider24%
    Hospitality Company6%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company11%
    University6%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Financial Services Firm33%
    Computer Software Company11%
    Real Estate/Law Firm8%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise6%
    Large Enterprise74%
    Buyer's Guide
    Cloud Data Warehouse
    April 2024
    Download Free Report
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    771,212 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 33 reviews while Yellowbrick Cloud Data Warehouse is ranked 16th in Cloud Data Warehouse. Apache Hadoop is rated 7.8, while Yellowbrick Cloud Data Warehouse is rated 0.0. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas Yellowbrick Cloud Data Warehouse is most compared with Snowflake Analytics, Azure Data Factory and Firebolt.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse 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.