• Home
  • Apache Hadoop vs. Treasure Data

Apache Hadoop vs Treasure Data comparison

Cancel
You must select at least 2 products to compare!
Apache Logo

Apache Hadoop

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

Treasure Data

147 views|126 comparisons
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Data Warehouse
April 2024
Executive Summary

We performed a comparison between Apache Hadoop and Treasure Data 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).
Download the complete report
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
Use Treasure Data?
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 →

    Information Not Available
    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    See Recommendations
    767,847 professionals have used our research since 2012.
    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   →
    Ask a question

    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
    24th
    out of 34 in Data Warehouse
    Views
    147
    Comparisons
    126
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Apache
    Treasure 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.

    Treasure Data is a cloud service for the entire data pipeline, including acquisition, storage, and analysis. We manage and support the entire infrastructure so you can focus on what you do best, analyzing data, rather than managing it.

    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
    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%
    No Data Available
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise23%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    No Data Available
    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.
    DOWNLOAD NOW
    767,847 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while Treasure Data is ranked 24th in Data Warehouse. Apache Hadoop is rated 7.8, while Treasure Data 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 Treasure Data is most compared with Snowflake.

    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.