

Find out what your peers are saying about Alteryx, SAP, Red Hat and others in Predictive Analytics.
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.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
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.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
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.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
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.
I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
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.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
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.
It has a fair price when considering a larger-scale implementation.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
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.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 8.7% |
| DataRobot | 6.4% |
| Red Hat Lightspeed | 6.0% |
| Other | 78.9% |
| Product | Mindshare (%) |
|---|---|
| Tableau Enterprise | 6.5% |
| Microsoft Power BI | 7.6% |
| SAP Business Data Cloud | 3.4% |
| Other | 82.5% |


| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 185 |
Alteryx is the agentic analytics and automation company helping organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business—analysts and operations teams—Alteryx helps organizations put data and AI to work by connecting data, applying governed business logic, and automating data-intensive processes.
At the center of this approach is Alteryx One, a platform designed to work across an organization’s existing data and technology ecosystem. It enables teams to bring together data, prepare and analyze it, and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights without coding.
Alteryx workflows close the last-mile gap between data platforms and the decisions and operations that run the business. While data platforms provide the foundation and AI creates new possibilities, the business logic needed to turn information into reliable action is often trapped in spreadsheets, processes, and the expertise of individual teams. Alteryx makes that logic visible, understandable, repeatable, and auditable (VURA)—giving AI the trusted business context it needs to deliver reliable results. This helps organizations scale trusted analytics and automation across teams without relying on specialized technical skills.
Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, customers run more than 380 million workflows on Alteryx each year.
Alteryx One brings together data, analytics, business logic, and AI to help organizations move from AI experimentation to trusted, enterprise-scale execution. Key capabilities include:
Alteryx One helps organizations turn AI and data investments into trusted business outcomes by connecting enterprise data, governed business logic, and AI-powered workflows.
By bringing together enterprise data, governed business logic, analytics, and AI, Alteryx helps organizations move beyond AI-generated answers to trusted, verifiable outcomes and intelligent workflows that drive real business value.
Tableau Enterprise is a leading data visualization tool, empowering users to create custom dashboards and reports with intuitive drag-and-drop functionality and strong security features, supporting business-driven insights.
Tableau Enterprise provides a robust platform for data visualization across industries, offering advanced features like data blending, real-time integration, and geo-spatial analysis. It supports large datasets and simplifies collaboration through role-based security. Challenges include a need for improved ETL capabilities and better scalability. Integration with machine learning and handling of big data platforms could be enhanced. Licensing costs and server performance issues are noted areas for improvement. Despite this, its flexibility and ability to process large datasets make it valuable for decision-making.
What are the key features of Tableau Enterprise?Companies across industries utilize Tableau Enterprise for data visualization and analytics, creating compelling dashboards for social media analysis, financial presentations, operational monitoring, and more. It supports both cloud and on-premises deployment, offering interactive experiences and enhanced decision-making through deep data insights.
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