We performed a comparison between Databricks and Mode Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Its lightweight and fast processing are valuable."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"It is fast, it's scalable, and it does the job it needs to do."
"The fast data loading process and data storage capabilities are great."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"The tool helps to catch results and review them."
"The most important feature of the solution is the ability to run Python-based scripts."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"The most valuable feature I would say is the flexibility in editing."
"The integration features could be more interesting, more involved."
"A lot of people are required to manage this solution."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"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."
"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."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
"Mode Analytics needs to improve the overall user experience."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Mode Analytics is ranked 19th in BI (Business Intelligence) Tools with 4 reviews. Databricks is rated 8.2, while Mode Analytics is rated 7.8. 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 Mode Analytics writes "The solution is easy to learn to use and very informative". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Mode Analytics is most compared with ThoughtSpot, Tableau, Microsoft Power BI, Amazon QuickSight and Salient.
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.
