Compare Databricks vs. IBM Watson Studio

Cancel
You must select at least 2 products to compare!
Databricks Logo
20,571 views|17,575 comparisons
IBM Watson Studio Logo
5,356 views|4,275 comparisons
Most Helpful Review
Find out what your peers are saying about Databricks vs. IBM Watson Studio and other solutions. Updated: January 2021.
456,966 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

More Databricks Pros »

"The solution is very easy to use.""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.""The scalability of IBM Watson Studio is great.""The system's ability to take a look at data, segment it and then use that data very differently.""IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

More IBM Watson Studio Pros »

Cons
"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

More Databricks Cons »

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""So a better user interface could be very helpful""The decision making in their decision making feature is less good than other options.""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.""Some of the solutions are really good solutions but they can be a little too costly for many.""The initial setup was complex."

More IBM Watson Studio Cons »

Pricing and Cost Advice
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""The pricing depends on the usage itself.""I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself.""The price is okay. It's competitive."

More Databricks Pricing and Cost Advice »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
456,966 professionals have used our research since 2012.
Questions from the Community
Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
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
2nd
Views
20,571
Comparisons
17,575
Reviews
16
Average Words per Review
581
Rating
7.9
10th
Views
5,356
Comparisons
4,275
Reviews
5
Average Words per Review
468
Rating
8.2
Popular Comparisons
Compared 13% of the time.
Compared 10% of the time.
Compared 8% of the time.
Compared 4% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, RedashWatson Studio, IBM Data Science Experience, Data Science Experience, DSx
Learn
Databricks
IBM
Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

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 Databricks
Learn more about IBM Watson Studio
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, YeswareGroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider14%
Media Company8%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider22%
Retailer7%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business12%
Midsize Enterprise24%
Large Enterprise65%
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Databricks vs. IBM Watson Studio and other solutions. Updated: January 2021.
456,966 professionals have used our research since 2012.

Databricks is ranked 2nd in Data Science Platforms with 17 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. Databricks is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". 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". Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Dataiku Data Science Studio and H2O.ai. See our Databricks 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.