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Apache Hadoop vs InfoWorks comparison

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Apache Hadoop

Read 32 Apache Hadoop reviews
2,630 views|2,223 comparisons
89% willing to recommend
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InfoWorks

182 views|114 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 InfoWorks 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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767,847 professionals have used our research since 2012.
Featured Review
Syed Afroz Pasha
Compatible with almost all the query engines and is open-sourced
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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:The tool's stability is good.
    Read all 24 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:Tools like Apache Hadoop are knowledge-intensive in nature. Unlike other tools in the market currently, we cannot understand knowledge-intensive products straight away. To use Apache Hadoop, a person… more »
    Read all 24 answers   →
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    Earn 20 points

    Ranking
    5th
    out of 34 in Data Warehouse
    Views
    2,630
    Comparisons
    2,223
    Reviews
    11
    Average Words per Review
    532
    Rating
    8.0
    23rd
    out of 34 in Data Warehouse
    Views
    182
    Comparisons
    114
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Apache
    InfoWorks
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    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.

    Infoworks is the only solution providing complete functionality in a single platform from data ingestion, data synchronization and the building of data models and cubes

    Scale your data warehousing and analytics on Hadoop, not by adding armies of people but instead by using advanced machine intelligence

    Infoworks is the complete Data Warehousing solution, eliminating the need to integrate multiple disparate point solutions. Infoworks helps organizations lower their EDW costs now and make business users even more successful.
    Infoworks is the only solution providing complete functionality in a single platform from data Ingestion, data Synchronization and the building of data models and cubes. Infoworks achieves all this by automatically crawling and synchronizing data from all data sources, dynamically adapting to schema/data changes and automatically organizing the data sets for high performance query access.


    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Hortonworks, MapR
    Top Industries
    REVIEWERS
    Financial Services Firm38%
    Comms Service Provider25%
    Hospitality Company6%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company10%
    Comms Service Provider6%
    University6%
    VISITORS READING REVIEWS
    Insurance Company11%
    Government9%
    University9%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise23%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise69%
    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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    767,847 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while InfoWorks is ranked 23rd in Data Warehouse. Apache Hadoop is rated 7.8, while InfoWorks is rated 0.0. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas InfoWorks is most compared with Snowflake and Azure Data Factory.

    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.