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 most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"The most valuable feature of this solution is data preparation."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"The product's Macros probably are one of the most useful aspects."
"The three data signs and data engineering are great features."
"The most valuable feature of Alteryx is user-friendliness."
"The most valuable feature of Alteryx is the intelligence suite."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"In general, Domo is very powerful and very easy to use, relatively speaking."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo."
"The dashboard is the most valuable feature and allows for customization to create and share reports."
"The best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."
"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."
"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."
"I mostly see it as an ETL which has many system connectors. It does a good job of ETL."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"It is a little bit pricey."
"Deep learning models are not currently supported."
"The technical support could have a little bit of improvement."
"When a process completes there is a notification, but the notification does not include the process's name."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"Alteryx's predictive data models are pretty average and can be improved."
"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."
"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."
"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."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"The preconfigured apps need to be more relevant to allow one, out of the box, to load data in order to use pre-set reports/views."
"It is expensive."
"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet."
"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."
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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