Google Cloud Datalab vs IBM Watson Studio comparison

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Executive Summary

We performed a comparison between Google Cloud Datalab and IBM Watson Studio based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Google Cloud Datalab vs. IBM Watson Studio Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Google Cloud Datalab is very customizable.""In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud.""All of the features of this product are quite good.""The APIs are valuable.""The infrastructure is highly reliable and efficient, contributing to a positive experience."

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"It has a lot of data connectors, which is extremely helpful.""The system's ability to take a look at data, segment it and then use that data very differently.""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 most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video.""For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks.""The solution is very easy to use.""Stability-wise, it is a great tool."

More IBM Watson Studio Pros →

Cons
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option.""We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience.""The interface should be more user-friendly.""The product must be made more user-friendly.""Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

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"I want IBM's technical support team to provide more specific answers to queries.""More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""We would like to see it more web-based with more functionality.""The main challenge lies in visibility and ease of use.""The solution's interface is very slow at times.""The initial setup was complex.""Some of the solutions are really good solutions but they can be a little too costly for many.""So a better user interface could be very helpful"

More IBM Watson Studio Cons →

Pricing and Cost Advice
  • "It is affordable for us because we have a limited number of users."
  • "The pricing is quite reasonable, and I would give it a rating of four out of ten."
  • "The product is cheap."
  • More Google Cloud Datalab 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."
  • More IBM Watson Studio Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product must be made more user-friendly. Sometimes, we have to go a roundabout way and read a lot of instruction that isn't necessary. Generally, if people use the information, they have some… more »
    Top Answer:The solution is really useful. It’s an easy way to get information. I use it as a reference for analytics, sourcing information, and research.
    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 »
    Ranking
    13th
    Views
    1,837
    Comparisons
    1,686
    Reviews
    2
    Average Words per Review
    631
    Rating
    8.0
    9th
    Views
    3,554
    Comparisons
    2,387
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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    Overview

    Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

    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.

    Sample Customers
    Information Not Available
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Educational Organization12%
    Computer Software Company11%
    Manufacturing Company9%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Educational Organization8%
    Comms Service Provider7%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Google Cloud Datalab vs. IBM Watson Studio
    March 2024
    Find out what your peers are saying about Google Cloud Datalab vs. IBM Watson Studio and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Google Cloud Datalab is ranked 13th in Data Science Platforms with 5 reviews while IBM Watson Studio is ranked 9th in Data Science Platforms with 13 reviews. Google Cloud Datalab is rated 7.6, while IBM Watson Studio is rated 8.2. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, Domino Data Science Platform and IBM SPSS Modeler, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and Amazon Comprehend. See our Google Cloud Datalab vs. IBM Watson Studio report.

    See our list of best Data Science Platforms vendors.

    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.