We performed a comparison between Databricks 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."The ability to stream data and the windowing feature are valuable."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The time travel feature is the solution's most valuable aspect."
"Databricks integrates well with other solutions."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The setup was straightforward."
"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."
"Watson Studio is very stable."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"It is a stable, reliable product."
"Stability-wise, it is a great tool."
"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."
"It has a lot of data connectors, which is extremely helpful."
"IBM Watson Studio consistently automates across channels."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"There are no direct connectors — they are very limited."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The integration of data could be a bit better."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"The decision making in their decision making feature is less good than other options."
"I want IBM's technical support team to provide more specific answers to queries."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The main challenge lies in visibility and ease of use."
"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 initial setup was complex."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews. Databricks is rated 8.2, while IBM Watson Studio is rated 8.2. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". 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". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI, Amazon Comprehend and Anaconda. See our Databricks vs. IBM Watson Studio report.
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