I have been using Alteryx myself and it has also been used more broadly by my company.
Approximately, about 30 people are using Alteryx in my company.
External reviews are not included in the AWS star rating for the product.
I have been using Alteryx myself and it has also been used more broadly by my company.
Approximately, about 30 people are using Alteryx in my company.
I have been pretty satisfied with Alteryx's data blending feature as it is quite easy to use as a non-code platform. One of its benefits is that it's a drag-and-drop system. Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
The way Alteryx's automation capabilities have contributed to my organization's workflow efficiency depends very much on the project we work on.
A potential drawback is that tracking changes and using Git with Alteryx is not very easy. If there are multiple analysts working on a specific file, whereas with code you can easily see where changes are, Alteryx being a soft code platform makes it quite hard to track changes through Git.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API. These might be features that already exist and I'm not fully familiar with, but the API integration is currently a bit clunky.
The disadvantages that made me think about switching from Alteryx include the version control and collaboration issues previously mentioned. In addition to that, the cost is a factor, so we're looking at solutions that are free to implement. Finally, we are looking at how we can better integrate within our own software solutions, which are all Python-based.
I have been working with Alteryx for two years.
In terms of performance, it depends on the size of the workflow that you're dealing with. It can be pretty slow on PC, but it depends.
I consider Alteryx as scalable.
I haven't received any support from Alteryx, so I can't speak much about their technical support.
I didn't need to contact Alteryx support. I have found that the training resources online are okay. They could be improved with more examples of use cases, but they are fit for purpose.
Neutral
Before Alteryx, I worked with either direct data transformations in Python or working through tools such as Power BI and the Power Query functions. In general, I think those tools perform similar functions even though there might be some differences. I generally had a better experience with those tools which come at a lower cost.
At the moment, we're looking at alternatives in general. We're looking at both Alteryx and the potential to move away from it, either just using in-house tools or any alternatives available that perform similar functions.
The potential options we are considering instead of Alteryx are not really well defined. We're still researching.
I am generally satisfied with Alteryx.
I'm not the best person to discuss the pricing of Alteryx, as I'm not involved with that.
The tools I tried to integrate Alteryx with are in-house tools and solutions, where I faced problems.
Based on my experience, I would not recommend Alteryx to others. I would encourage developing internal capabilities over using Alteryx as a solution.
My thoughts on the ease of use, interface, and implementation process of Alteryx are that it's easy to use for non-coders, but for anyone who has ever coded before, it's really frustrating to use. There is a balance as it is very easy to use, but there is also no way of easily streamlining workflows or reviewing them.
I'm not sure whether it was bought from the AWS marketplace.
I can't think of any specific examples of benefits at the moment.
On a scale of 1-10, I rate Alteryx a 6.
Alteryx is primarily used for data transformation and ETL processes within our environment. We also utilize its machine-learning capabilities for regression and classification tasks. Our team leverages it for back-end calculations to enhance visualization performance.
The platform's user-friendliness, particularly for non-technical users, has allowed for more efficient data processing and the integration of machine learning within our workflows. It has streamlined our data transformation processes, ultimately improving the performance of our visualizations.
The product's most valuable features include its ease of use for non-technical users and machine learning capabilities. The flexibility to integrate custom code is also an important aspect of the platform for our use case.
The product could benefit from improved integration with visualization tools or even the inclusion of built-in visualization features. It would reduce the need to use multiple tools and pay for additional licenses.
I rate the solution's stability a seven out of ten.
I rate the solution's scalability a seven out of ten.
Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs.
I rate Alteryx a seven out of ten.
In our team, we use Excel for a lot of calculations and automation workflows. We retrieve data from the database, perform calculations, and then distribute the results to various departments or customers.
Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change.
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.
I have been using the product for two years.
The tool is stable.
My company has more than 100 users.
I haven't contacted the technical support.
The tool's installation and setup are not difficult; you just need to install it.
You can use this tool if you want to do a lot of automation. It is easy for users to learn and use it. The drag-and-drop interface works fine for us. I rate it a seven out of ten.
We use the product for data transformation and analysis. We primarily use it for data preparation, analysis, and sometimes generation. So, it covers a wide range of tasks beyond just loading data.
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.
Its user interface is one of the tool's best aspects. Once we became familiar with it, we found that tasks can be completed within seconds or minutes, especially for small data analyses. The tool's computation time is also commendable.
We have integrated the product with Tableau and Python.
There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx.
Since most of our team members work with Alteryx, deploying workflows to clients who may not have licenses became a hurdle. Every user needed a license to run the workflows, which could pose difficulties, especially for clients who only needed occasional access for small data analyses. Unlike other software like Microsoft Power BI, which offers free trials or user licenses for basic functionality, Alteryx doesn't provide such options, potentially limiting its accessibility for occasional users.
It should improve scalability.
I have been using the product for more than ten years.
I rate the tool's stability a ten out of ten.
I rate the solution's scalability four to five out of ten.
The tool's deployment can be completed in a day or two. We have 24 engineers to handle it.
The solution's deployment was done in-house.
I rate the tool's pricing a two out of ten.
Overall, I would recommend Alteryx for complex data analysis needs. We are considering moving to Tableau Prep.
The solution is great as a standalone product. However, there are certain add-ons provided by Alteryx that are very useful but come with additional costs on top of the licensing fees. This aspect can be a bit of a downside. So, overall, considering this factor, I would rate Alteryx at around seven out of ten.
There are numerous benefits to using Alteryx. It's user-friendly and allows for data transformations, making tasks easy to understand.