We performed a comparison between Alteryx and Domo based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The scheduling feature for the automation is excellent."
"The scheduling within the solution is excellent."
"Alteryx is a simple and easy-to-use solution."
"It is a stable and scalable solution."
"Its initial setup is easy."
"Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better."
"The solution has excellent drag and drop functionality. There's no need for coding."
"Alteryx is so advanced. It's just drag and drop."
"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."
"All our client SLAs and daily and weekly dashboards are tracked on Domo."
"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."
"The dashboard is the most valuable feature and allows for customization to create and share reports."
"The user interface is quite good."
"This solution allows us to change our performance metrics and tracks our goals in real-time."
"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."
"The best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool."
"It would be great if Alteryx could take third party tools and incorporate them."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"I honestly can't think of anything that needs to be improved."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"It seems to me that it is not always user friendly."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"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."
"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."
"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."
"One of the improvements that could be made is related to improved storage options."
"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."
"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."
"It is expensive."
"I would like to publish a dashboard for the employees so that they can also see the performance of our organization. But that is not a feature in Domo, although it's something that Zoho provided."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Domo is ranked 11th in BI (Business Intelligence) Tools with 35 reviews. Alteryx is rated 8.4, while Domo is rated 7.8. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Domo writes "Robust, powerful, and easy to use". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and Tableau, whereas Domo is most compared with Tableau, Microsoft Power BI, Databricks, Looker and Informatica PowerCenter. See our Alteryx vs. Domo report.
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