Alteryx Reviews

I'm a reseller, so I have plenty of use cases. I don't have my own use cases. I actually solve problems for other customers. We have a few use cases with Alteryx - one for supply chain and one for finance as a whole. There is a very large amount of use cases for finance.

The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain. For finance, we have data landing which we look at a lot. There are models to help improve matching data and more realistic intuition on the data we have.

It is very easy. It is very straightforward. Sometimes you need a bit of help, but it's more like it fixes itself. So if you are used to handling data, it should be very, very easy.

There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search. One thing that I would like to see is the ability to get all the versions. Currently we have just the current version and the previous version. Sometimes they have no old workflows. They will run and they are in previous versions but we don't have access to it. It would be helpful to have an opportunity to download, maybe not the first one, but a couple past versions that have been useful.

I have been an Alteryx reseller for four years.

Alteryx is a stable solution.

Alteryx is a scalable solution.

Support is very good. They even go beyond what is expected of the basic support for the product itself. Often we see that they going beyond that and providing solutions for the issues that go beyond the product itself. They try to help customers with the data. So I think it's a really good support and I have had amazing experience with them.

The number of people involved in the initial setup depends on the size of the deployment. It is usually very few compared to other solutions. You don't even need special resources, so anyone can do. Even if it is on a server, anyone that knows it can repair the server, keep it running, and deploy any solutions. I think it's very straightforward, even to deploy larger solutions.

It takes between one and three people to deploy, but they don't need to be technicians,  that's the cool thing.

For anyone considering Alteryx, I would say go for it. Trust that there is a really good set of not just in-company support, but also a lot nice and very decent resellers and partners that can help you do anything you want. Overall, if you are looking for data management, if you need to improve your ability to blend data and to get insights out of data, Alteryx is the way to go.

On a scale of one to ten, I would give Alteryx a nine.

We have very similar use cases with Alyterx, Knime, and Trifecta. We are taking the data from disparate systems and transforming and making the data available for further visualization.

The most valuable feature of Alteryx is user-friendliness.

I have been using Alteryx for approximately one year.

If the speed of the database increases when we are performing the jobs on the Alteryx server it is not giving me a lot of visibility on how I can improve the performance of the jobs. Alteryx product is fine, but the server is somewhat weak. The only desirable feature we can use is scheduling.

The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected. 

I would rate the technical support of Alteryx a six out of ten.

Recently the support has been facing attrition problems and we are experiencing a lot of wait time. I do not like the premium support service. We did not subscribe to the premium support because it would have increased the cost on our side.

I have used Knime and Trifecta previously.

The initial setup of Alteryx is straightforward. However, when we are setting it up for an enterprise it gives too much leeway for an end-user. For example, the license location, activation, and license management are not good. When we want to have some control over who is using the license, who is not using the license, there are some issues, we already informed Alteryx about it. We need better control over the whole process.

The cost of the solution could be reduced.

I rate Alteryx an eight out of ten.

Most of my use cases have been around just helping customers out, specifically in the financial sector. Within our company, I've been automating the reports, project reports, and using it mostly for the automation of weekly reports in our company.

The scheduling feature for the automation is excellent. The machine learning suite has been pretty useful in terms of building models. I've been exploring it for a while. The in-database tools are extremely useful as well.

The interfaces are perfect.

The solution is easy to set up.

The stability is quite good. 

We have found that the scalability is good and very easy to handle.

I still haven't had any issues with the Alteryx designer. I don't have anything to speak negatively of now, however, I'm sure there are some features that need improvement.

The technical support could have a little bit of improvement.

They should work to make the solution less expensive. 

The product needs some more tools for the image processing part. That would be pretty good. There's an image processing suite, however, it could use a little bit of improvement as well as the visualization aspect. 

They should maybe add some capabilities for more interactive dashboarding. That would be great.

I've been using Alteryx for a while now. I'm still learning about it. I'm still exploring it, but I've been using it for a while.

I've been using it for a little bit over six months now.

The product has been pretty stable, however, we aren't heavily utilizing the solution. It's hard to pass a fair judgment on our part, as we don't have that many users and the utilization of the server and designer haven't been very heavy so far. That said, for us, it's been extremely stable.

The scalability is extremely easy and very straightforward on Alteryx, especially the server for the controllers. You can easily start adding nodes for workers as well. The scalability is one of the things that get our customers mostly excited about how easy it is to start scaling the server.

In our organization, we have four Alteryx designer users and eight or nine server users.

Technical support is okay and could be better. Sometimes, it takes about two to five days to hear an answer from the technical support team. That said, when they do reply, they're very helpful. The community is very helpful. However, due to the fact that there's such a wide range of issues that could be going on, you could get lost in trying to find a solution on the community.

I have not personally used any different solution. 

The initial setup is extremely straightforward.

It took about 30 minutes for the designer and the server overall to be deployed. It was easy and it's really fast. 

There isn't much maintenance needed. I handle all of the maintenance myself. 

Everything was handled by the company in-house. We didn't need any help from consultants or integrators. 

While we have personally seen ROI so far, I wouldn't be the one to make that judgment as to how much. That's mostly due to the fact that I'm the data engineer. I don't have a look at the numbers. I just automate processes and help customers out. That said, customers are happy with their investment in this product overall. 

Since we're partners, we get licenses. That said, from the feedback I hear, the price is a little bit more on the expensive side.

We do yearly subscriptions. There are machine learning suites that do come at an extra cost as well. 

We are partners with Alteryx.

I'm using version 21, the latest version, which may be either 21.1.4 or 0.3.2.

I would advise potential new users to go through the community to learn. They should go through the learning path for the Alteryx solution for both the designer and the server. It's good to take it slowly. New users should be able to do this within a month or two. The solution is pretty straightforward to learn.

I'd rate the solution at an eight out of ten.

I use Alteryx for integration, data integration, and advanced analytics with several companies.

Alteryx integrates well. The most valuable feature for me is integration.

I can read data from a database on the web and import it into my Alteryx database.

It is very easy to use. 

It's quite user-friendly, which I enjoy.

The workflow and pipeline need to improve. For example, if you have a job running, and you need to run another, the scheduling could be easier in Alteryx.

In the next release, I would like to see the completed pipeline, improved workflow with data, easier, and better scheduling to allow tasks to run one after the other.

I have been using Alteryx for one year.

We are using the latest version.

The Alteryx server is running on an EC2 AWS computer, and we have the desktop version installed on our notebooks.

Alteryx is a stable solution. We had no issues with bugs or glitches.

It is easy to scale.

Technical support is very good.

It took us two years to implement Alteryx in our organization.

I would recommend this solution. I like it.

I would rate Alteryx a nine out of ten.

This is a data science solution, more like an ETL tool where you have data that you want to convert or transform. I'm a solutions architect and support the platform. The application is being maintained by a different team. We are customers of Alteryx. 

The solution does a good job with data transformation. We're using it for our business modeling.

This is a proprietary tool and maybe the open source part of it could be improved. If there was an open source edition it would be an advantage; at least the training part of it could be freely available and then people would be more likely to adopt it.

We've been using this solution for a couple of months. 

We haven't had any problems with stability. 

I haven't found any scalability limitations. 

The initial setup was straightforward. 

The choice of product really depends on your needs. I would prefer to use NinePlatform for open sources certainly, but if you're after a proprietary solution because you have different needs, then I think Alteryx is a really good solution if you are looking for a scale. It all differs from case to case depending on requirements.

It's about the feasibility of the product for your specific use case, so I rate this solution a six out of ten. 

I have multiple clients that are using this solution and the use cases can be very specific to the domain they are coming from. 

I am an Alteryx designer and I have been trying to fine-tune the operations. Most recently I have been getting more involved with predictive analytics. I am transitioning from the ETL to an advanced analytics platform and then doing the seamless integration with the BI tools. These are the areas I have been exploring and currently, I am only working on use cases that are very specific to this area.

The solution could improve in the visualization. There is a reporting palette available, but I do not think organizations would rely just on that one pallet. We need a BI tool for larger implementation reporting. The visualization cannot just be the basic visualization but immediate reporting.

When comparing this solutions' BI tool to major competitors, such as Tableau and Power BI, the competitors both massively use visualization and dashboarding whereas this solution does not. However, this solution is much further ahead in other areas, for example, deployment. When it comes to just the visualization it not fair to compare these solutions.

I have been using the solution within the last 12 months.

The solution has been stable.

What I know of the solution it can scale very well.

I have not used support very much in the past. However, during the one or two cases when we had to use the support, we received a solution from them promptly.

The installation is fairly simple and straightforward. We had no issues with the implementation.

Previously I have used consultants for the implementation but I can now do it myself.

There is a license required for this solution.

I have previously evaluated Tableau and Power BI.

I would recommend this solution to others.

I rate Alteryx an eight out of ten.

The primary use case of this solution is mainly for advanced analytics, including some bison-scripts for the machine learning on data, as well as data cleaning and data processing activities.

The connectors are a very good feature and Alteryx can connect to a lot of data sources and there are a lot of options. We can use the ready-made models in the solution for advanced analytics, and we can also include our custom scripts. It gives a lot of flexibility and there are a lot of characters that are available. It's a very user friendly product. 

The deep learning models are not currently supported by Alteryx. The world is moving towards more advanced machine learning with deep learning models and integration, and Alteryx should do the same. The advanced features are not there, given that most companies are constantly increasing the size of data. Alteryx is not very robust when it comes to working on large sets of data. The new platforms that are coming onto the market, even the open source technologies, are moving really fast. Alteryx needs to find an edge.

I've been using this solution for at least a year. 

This product is quite stable. 

There's room for improvement with the scalability aspect, because the size of data always increases and it is not an optimal solution for processing large sets of data. For a smaller data size it works really well. Our developers work with Alteryx and we have close to 10 users. We don't have plans to extend usage. 

I've only had one contact with technical support and they were very responsive. 

The initial setup was easy. Alteryx is a drag and drop tool so the deployment was quick. It doesn't require a lot of scripting.

Licensing is on an annual basis but I don't work in procurement so I have no idea of the cost. 

Any company considering a data processing platform which is light, offers good flexibility, and deals with moderate or low sized data, will find this is a really good spend. If, on the other hand, you're working on big data and a higher volume of data, this may not be the right choice for you.

I rate this solution a seven out of 10. 

We have several Alteryx certified analysts on our team, and we serve customers who want Alteryx. We don't use it in our company.

The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most.

It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower.

Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change.

I have been using this solution for a little over a year.

It is stable.

We are currently using it in environments with fairly low operational needs. For our clients, it is more of an analytics workflow rather than a production workflow. The scalability requirement has not really come up for us in practice.

We have worked with RapidMiner in the past. I am also familiar with a few other solutions that came to me. We are also exploring a partnership with DataRobot. There are a lot of overlaps between products. We have also used a few analytics products.

Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing.

If a customer already has a data engineering and analytics team, I would lean towards RapidMiner and DataRobot, depending on the specific need of the customer. If they want more AI, I would recommend DataRobot. If they want more analytics and data, I would go with RapidMiner. If they don't have a data engineering and analytics team and they're starting something afresh, or if they have a capacity issue with the analytics team, then I would recommend Alteryx. Alteryx works out pretty okay if they don't have a sufficient number of qualified data and analytics people because it goes with the philosophy of citizen data scientists.

I would rate Alteryx a seven out of ten.