IBM Watson Studio vs Teradata Analytics [EOL] comparison

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3,203 views|2,111 comparisons
100% willing to recommend
Teradata Logo
views| comparisons
50% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Watson Studio and Teradata Analytics [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""IBM Watson Studio consistently automates across channels.""The solution is very easy to use.""It has a lot of data connectors, which is extremely helpful.""Stability-wise, it is a great tool.""It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements.""The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people.""The system's ability to take a look at data, segment it and then use that data very differently."

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"Provides ease of formulating a solution based on SQL-like queries.""It has been fantastic for running complete data sets (no sampling required).""nPath has made journey/path analysis much easier."

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Cons
"We would like to see it more web-based with more functionality.""I want IBM's technical support team to provide more specific answers to queries.""It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs.""The decision making in their decision making feature is less good than other options.""More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""The solution's interface is very slow at times.""So a better user interface could be very helpful""Some of the solutions are really good solutions but they can be a little too costly for many."

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"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such.""I would like to see more/better documentation. They also need to enhance analytic/data science algorithms.""We have struggled with uptime. Some of the features need to be updated."

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Pricing and Cost Advice
  • "Watson Studio's pricing is reasonable for what you get."
  • "IBM Watson Studio is a reasonably priced product"
  • "IBM Watson Studio is an expensive solution."
  • "The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
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    Questions from the Community
    Top Answer:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
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    Ranking
    10th
    Views
    3,203
    Comparisons
    2,111
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Unranked
    In Data Science Platforms
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Teradata Aster Analytics, Aster Analytics
    Learn More
    IBM
    Video Not Available
    Overview

    IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

    Teradata Aster® Analytics Portfolio provides a suite of ready-to-use, multi-genre advanced analytics functions that empowers business users to uncover and operationalize non-intuitive insights. Teradata Aster Analytics includes the Aster Database, Aster Client and the Aster Portfolio that consists of SQL, SQL-MapReduce and Graph functions for multi-genre advanced analytics. These functions provide everything from data acquisition and preparation to analytic modeling and visualization.

    Sample Customers
    GroupM, Accenture, Fifth Third Bank
    Information Not Available
    Top Industries
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Comms Service Provider8%
    Educational Organization7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise67%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,334 professionals have used our research since 2012.

    IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms. IBM Watson Studio is rated 8.2, while Teradata Analytics [EOL] is rated 7.0. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend, whereas Teradata Analytics [EOL] is most compared with .

    We monitor all Data Science Platforms 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.