We performed a comparison between Domo and Google Data Studio based on real PeerSpot user reviews.
Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The fact that you can add any data source is valuable. The entire data handling suite they have, all the apps, etc., is pretty amazing. One of the key things, not being a techie or a data-warehouse guy, is that you can connect data sources, and do all kinds of pretty amazing things."
"The best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."
"One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs."
"All our client SLAs and daily and weekly dashboards are tracked on Domo."
"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..."
"We find the ease of using the solution valuable."
"The most valuable feature currently is the self-service BI availability in Domo. I would say the data file fabric solutions where the users themselves are responsible for generating their own reports."
"What makes me really fond of Domo is the ETL because it enables us to maximize a single platform for pulling reports and automating things. We can send the raw data from a third-party platform and do the rest of the ETL in Domo, including transforming data, adding columns, etc."
"Valuable features include advanced integrated analysis and easy implementation."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The solution is free so that is a good feature."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"The ability to design complex data models and equations."
"The ability to integrate with a great variety of data sources."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."
"There's a learning curve before you can get used to the solution."
"I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster."
"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."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"I would like to see better data intake."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Stability and scalability an be improved for a full ten."
"Panels are not as easy to use as other data extraction UIs."
"It's not yet a replacement for a complete BI tool."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
Domo is ranked 6th in Reporting with 35 reviews while Google Data Studio is ranked 13th in Reporting with 8 reviews. Domo is rated 7.8, while Google Data Studio is rated 7.6. The top reviewer of Domo writes "Robust, powerful, and easy to use". On the other hand, the top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". Domo is most compared with Tableau, Microsoft Power BI, Databricks, Looker and Amazon QuickSight, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and QlikView. See our Domo vs. Google Data Studio report.
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We monitor all Reporting 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.
