We performed a comparison between Databricks and Domo 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."In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"It can send out large data amounts."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"The simplicity of development is the most valuable feature."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The solution offers a free community version."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"This solution allows us to change our performance metrics and tracks our goals in real-time."
"The ability to create custom connectors was useful because you never know, with customers, what platform they want to utilize or what data they have. It gave us a lot of flexibility in being able to bring data in from different places."
"The ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."
"It has the best GUI. And it already has an ETL tool embedded in it..."
"I mostly see it as an ETL which has many system connectors. It does a good job of ETL."
"The solution is highly stable."
"In general, Domo is very powerful and very easy to use, relatively speaking."
"Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Would be helpful to have additional licensing options."
"Costs can quickly add up if you don't plan for it."
"Databricks' technical support takes a while to respond and could be improved."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"There are no direct connectors — they are very limited."
"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."
"I would like it if Databricks made it easier to set up a project."
"In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side."
"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."
"It is expensive."
"Their organization or client service didn't always keep up... They took on more and more clients and the processes slowed down a little bit."
"One of the improvements that could be made is related to improved storage options."
"Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"It's quite slow. We are using about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Domo is ranked 11th in BI (Business Intelligence) Tools with 35 reviews. Databricks is rated 8.2, while Domo 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 Domo writes "Robust, powerful, and easy to use". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Domo is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Apache Superset. See our Databricks vs. Domo report.
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