

Alteryx and Domo compete in the data analytics and business intelligence category. Alteryx offers a competitive edge with its comprehensive data preparation and advanced analytics, while Domo leads in self-service BI and collaboration features in cloud environments.
Features: Alteryx offers integrated data preparation capabilities with automation and a user-friendly interface, supporting machine learning, data blending, and spatial analytics. It allows easy integration with multiple data sources and provides a robust community for support. Domo excels in self-service BI with extensive data visualization and dashboarding options. Its cloud-based platform provides seamless collaboration across departments and leverages AI for actionable insights.
Room for Improvement: Alteryx could improve its data visualization tools and expand connector options. Users seek more intuitive reporting features and affordable licensing options. Domo's AI capabilities and pricing are noted for improvement. Its visualization and customization features could be expanded to better fit smaller teams and individual consultants.
Ease of Deployment and Customer Service: Alteryx offers flexible deployment options with responsive technical support and a vibrant community forum. Domo emphasizes quick cloud deployment with strong collaborative features. Although their customer service is robust, Domo faces challenges with response times and support complexity.
Pricing and ROI: Alteryx has higher upfront costs, making it expensive for smaller teams, but offers significant ROI through process automation. Domo is noted as costly compared to competitors but provides flexible value-based pricing suitable for larger organizations. Both offer strong ROI, but cost remains a key consideration for many businesses.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.
Customer support from Alteryx has been amazing.
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
I contacted customer support once or twice, and they were quick to respond.
No matter how complex the problem is, it can be taken care of by the support team.
They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.
It's very easy to get technical support from Domo.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Alteryx is scalable, and I would give it eight out of ten.
The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.
When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.
Everything comes under the same umbrella and it's pretty user-friendly.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
In terms of overall stability of the platform, it's very stable.
During that time, we faced issues from the project side as Domo was not visible in our portal.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
End users require a license to run their own reports and dashboards, which are fairly expensive.
Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.
One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Domo's pricing is high compared to other BI tools, and it is costly.
For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.
They quoted approximately one dollar per KB.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.
None of the other tools provide the kind of support that enables chatting and working on the same item simultaneously.
Domo has positively impacted my organization by giving everyone the ability to see different data cards and make decisions quicker without relying on BI.
| Product | Mindshare (%) |
|---|---|
| Alteryx | 1.2% |
| Domo | 0.7% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 13 |
| Large Enterprise | 20 |
Alteryx enhances efficiency by automating data preparation and transformation through a user-friendly drag-and-drop interface, catering to non-technical users and business professionals. It supports data blending, predictive analytics, and diverse data integration capabilities.
Alteryx streamlines data manipulation and complex transformations, benefiting industries such as finance and marketing with its ability to connect to multiple data sources and automate workflows. The platform supports analytics and machine learning model building, reducing manual efforts in ETL processes. Despite its capabilities, improvements are needed in database connectivity, pricing flexibility, and cloud service integration. Users desire enhancements in reporting features, visualization, and technical support to optimize its full potential. Machine learning and predictive analytics features require advancements to improve user experience and broaden accessibility through better connectors and reduced licensing costs.
What are Alteryx's key features?
What benefits and ROI should be looked for in reviews?
In finance and marketing, organizations leverage Alteryx to automate data tasks, connect diverse sources, and generate analytics models and dashboards efficiently. Its no-code approach aids in rapid data preparation, cleansing, and analysis, empowering business users to engage in predictive and prescriptive analytics effectively.
Domo provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.
Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.
What are the key features of Domo?In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.
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