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Apache Hadoop vs Yellowbrick Data Warehouse comparison

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Apache Hadoop
Read 34 Apache Hadoop reviews
2,467 views|2,110 comparisons
87% willing to recommend
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Yellowbrick Data Warehouse
418 views|348 comparisons
Comparison Buyer's Guide
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Buyer's Guide
Data Warehouse
April 2024
Executive Summary

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

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
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772,277 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."

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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
    20th
    out of 35 in Data Warehouse
    Views
    418
    Comparisons
    348
    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.

    Yellowbrick’s mission is to make analytics and data warehousing simple. Replace racks of hardware with an easy to manage turn-key solution. Yellowbrick delivers an optimized analytic database and advanced software that eliminates tasks that consume hours of IT and DBA staff time, all while improving service and insight quality.

    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 Provider5%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Insurance Company11%
    Computer Software Company10%
    Government6%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise7%
    Large Enterprise68%
    Buyer's Guide
    Data Warehouse
    April 2024
    Download Free Report
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
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    772,277 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while Yellowbrick Data Warehouse is ranked 20th in Data Warehouse. Apache Hadoop is rated 7.8, while Yellowbrick 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 Data Warehouse is most compared with Amazon Redshift, Snowflake, Teradata and Oracle Exadata.

    See our list of best Data Warehouse vendors.

    We monitor all 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.