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 of Alteryx is the intelligence suite."
"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"I like that I can merge data from different sources into one place."
"The filtering is fast, and it provides a search tool that is great."
"Good data transformation."
"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."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"The user interface is quite good."
"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."
"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."
"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 best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."
"The solution is highly stable."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"The server is too expensive for what you get and it really a designer desktop on a server."
"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The data integration component could most likely be improved to increase enterprise scalability."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"The solution could improve in the visualization."
"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."
"The ETL way of storing is not up to mark. You have to rely on the naming convention that you're using in Domo because there are no folder systems where you can collate all your workflows and put them into separate folders. A folder system should be there so you can easily identify how you are working. Once you want to make some changes to your ETL, then you can see the whole lineage, identifying what is there and not there."
"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."
"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 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 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."
"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."
"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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