Compare Google Cloud Datalab vs. IBM Watson Studio
Most Helpful Review | |||
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Quotes From Members
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Questions from the Community | |
Top Answer: All of the features of this product are quite good. Top Answer: The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use. Top Answer: We are using this solution to help manage personnel and to see if everyone is in the right place. | Top Answer: It has a lot of data connectors, which is extremely helpful. Top Answer: It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more » Top Answer: The initial setup was complex. |
Ranking  | |
Views 2,749 Comparisons 2,426 Reviews 1 Average Words per Review 303 Rating 8.0 | Views 5,356 Comparisons 4,275 Reviews 5 Average Words per Review 468 Rating 8.2 |
Popular Comparisons | |
 Compared 40% of the time.  Compared 8% of the time.  Compared 6% of the time.  Compared 6% of the time.  Compared 5% of the time. | Compared 25% of the time.  Compared 13% of the time. Compared 12% of the time.  Compared 6% of the time. Compared 5% of the time. |
Also Known As | |
| Watson Studio, IBM Data Science Experience, Data Science Experience, DSx | |
Learn | |
| Google | IBM |
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. |
Offer | |
Learn more about Google Cloud Datalab | Learn more about IBM Watson Studio |
Sample Customers | |
Information Not Available | GroupM, Accenture, Fifth Third Bank |
Top Industries | |
Comms Service Provider26% Computer Software Company24% Retailer8% Financial Services Firm7% | Computer Software Company26% Comms Service Provider22% Retailer7% Financial Services Firm6% |
Company Size | |
No Data Available | Small Business78% Large Enterprise22% |
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2021.
456,966 professionals have used our research since 2012.
Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. Google Cloud Datalab is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". On the other hand, the top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Google Cloud Datalab is most compared with Databricks, MathWorks Matlab, Amazon SageMaker, KNIME and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Dataiku Data Science Studio and Databricks.
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