"It's great technology."
"It's easy to increase performance as required."
"The initial setup is pretty easy."
"It can send out large data amounts."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"The fast data loading process and data storage capabilities are great."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The solution is quite stable."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"I have seen better user interfaces, so that is something that can be improved."
"A lot of people are required to manage this solution."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"It's not easy to use, and they need a better UI."
"The integration of data could be a bit better."
"Pricing is one of the things that could be improved."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
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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.
Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.
Dataiku Data Science Studio is also known as Dataiku DSS. This solution enables you to discover, share, and reuse code and applications so that you can deliver high-quality projects easily and streamline your path to production. As an enterprise leader, you can leverage the power of AI to confidently make business decisions.
With Dataiku, an intuitive interface is guaranteed and allows users the ability to access and work with data using a point-and-click method. Dataiku analyzes the data to suggest key transformations. Beyond offering 109 data transformation capabilities, Dataiku also includes pipelines that can be generated in SQL which can thereafter be scheduled for automated recomputation.
What's more, Dataiku allows you to create more than 20 different kinds of charts and also gives you the ability to deploy them into dashboards or create custom web applications for the use of interactive and sophisticated visualization tools.
In addition, with Dataiku you have the option of using an in-depth statistical analysis, including but not limited to: curves fitting, univariate and bivariate analysis, principal component analysis, correlation analysis, and statistical tests.
Dataiku Data Science Studio Consists Of:
With Dataiku Data Science Studio You Can:
Dataiku Data Science Studio Benefits and Features:
Features Users Find Most Valuable:
Reviews from Real Users
IT Central Station users note that Dataiku Data Science Studio has a fantastic interface and is also flexible, intuitive, and stable. One user said "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person." Another user mentioned “The best feature is the user interface. It allows us to see the visual flows.”
Databricks is ranked 2nd in Data Science Platforms with 22 reviews while Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 1 review. Databricks is rated 7.8, while Dataiku Data Science Studio is rated 9.0. 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 Dataiku Data Science Studio writes "Flexible and intuitive with good stability". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Google Cloud Datalab, whereas Dataiku Data Science Studio is most compared with Alteryx, Microsoft Azure Machine Learning Studio, KNIME, Amazon SageMaker and H2O.ai.
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