Alteryx Reviews

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. 

The team uses Alteryx for many things because they code various algorithms to create different dashboards. These are used as solutions for various things from sales to customer experience to whatever else the customer needs. So there are many areas where the team is using the product. There is not one, but as of now, there are some 30 different use cases that we have.  

The ease-of-use has allowed our business users to directly create their own solutions without the use of additional development resources.  

I think the most valuable feature is the ease of use for my business scientists. They do not need to be experts in R and Python coding, and they can do their complete analysis projects without knowing the code. I think that one of the biggest reasons we are depending on Alteryx.  

I'm sure there is always development happening with the product, but I think there should be both cloud and on-premises options. We have not seen a cloud deployment and have not heard they will be making one available. I think if there is the cloud deployment available, it would definitely be more convenient for some users to engage with and use while lowering the implementation costs.  

Cloud deployment would be easier for us and our clients because a lot of services that we push to the clients are through the cloud only. It is expensive to buy additional licensing, and it is time and resource consuming to install onto our own hardware — which itself requires maintenance and administrative attention. On-premises can raise the cost of deployment over just using a cloud enrollment option.  

We are one of the main solution providers in the region and we have been using this solution for almost two years.  

The solution is stable. We experience no bugs, glitches or crashes.  

We can scale usage of the product as much as we want and we do that depending on the instructions that we have from the client. It is quite scalable in that regard.  

We have more than 50 users who are using this solution within our company. They are a mix of data scientists, administration and business users as well.  

Alteryx is used quite extensively in our organization and we are planning to increase the usage in the short term.  

We are sometimes in touch with Alteryx technical support. If I had to evaluate them, the waiting times are not long, the response, in general, is pretty good. So we are satisfied with their support work.  

I would say the initial setup is straightforward. It takes the technical team just a few days to deploy this solution. It is deployed in days, not months or weeks.  

In terms of deployment, you only really need one person to complete it and that is good enough. You might use two technicians depending on the skill set, the scale of the deployment and the business areas the client focuses on. The maintenance is pretty cheap. The same people that do the deployment manage it for us.  

We do not use an integrator, seller or consultant for the deployment as our team has training and they do these things.  

We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees. The technical support is included as part of the fees that we pay.  

Before we choose Alteryx, we did weigh other options from different vendors. In fact, we still use other technologies. We cannot properly service client needs by just using Alteryx as the only solution we offer. Because client needs differ, we are using other products that we evaluated and determined were also serviceable technologies to deliver for client use.  

Advice that I would give to people considering Alteryx as a solution depends on the real needs from business to business and in accord with what use cases they have. I think Alteryx definitely takes away the potential problem of having to have a lot of technical expertise. Any business user can use Alteryx to develop their business case and use the program's options much quicker without having the technical knowledge and programming know-how. It really depends on the skills and resources of the individuals in the company. They should use Alteryx if they want users to be able to walk through the process and deploy their own use cases without having a deeper technical knowledge and skills that other products may require.  

What we have learned from using the product is that it is definitely a great advantage for the business users to not need to have great technical skills and programming knowledge to complete their analysis. The business users can build their own analytical use case, visualize what they want to do more easily and quickly, and revise it without any dependencies on other staff and additional communications.  

On a scale from one to ten where one is the worst and ten is the best, I would rate this product as a seven-out-of-ten.  

We use this solution mostly for data integration.

The three data signs and data engineering are great features.

Configuration is very low and is not good for the customer end.

They should be focused more on regulation. They need to come onto the cloud as soon as possible. 

We have been using this solution for about a year, and have been supporting it both on cloud and on-premises.

It is a stable solution.

It is a scalable solution because it works on multiple platforms. The petabyte of solutions they have been considering can be handled. 

I rate the technical support an eight out of ten.

The initial setup was straightforward because they had a suite. They have packages that need to be integrated and can be set up easily. They have different strategies for cloud and on-premises. For on-premises, they have a suite based on the license.

The deployment and maintenance require only about three technical staff. We have about three clients using this solution and plan to pitch more plans.

They have the complete licensing package. There are yearly licenses and other combinations. 

I rate this solution a seven out of ten. We target different domains because Alteryx is a product that can fit all kinds of domains.

For the next release, they should focus on the cloud. They should be platform agnostic so they can be easily integrated with multiple cloud systems. It should have the capability to work as a SaaS product.

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.

We're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.

The UX (user experience) is quite good on this solution. The UI (user interface) is also excellent.

The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions.

For the most part, the solution is very complete, and there isn't much missing.

The designer license lacks a few features that the server has.

There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.

I've been using the solution for just over a year at this point. It hasn't been too long.

The stability of the solution is very good. It's reliable. We have not experienced issues like bugs and glitches. It doesn't crash.

Only a small number of people use the solution in our organization. There are about four people on it. They are a mix of engineers, architects, and some data integration specialists.

There is a possibility to scale the solution. For the designer license, it's quite possible. Another server may be required, however.

The technical support has been very good. I'd rate it ten out of ten. We're quite satisfied with the level of service we've been provided. They are helpful.

We did previously use R and Python solutions before we switched to Alteryx. They were okay, but a bit difficult to work with.

Alteryx is easier to set up and implement. It allowed us to also focus on different aspects of the business.

The initial setup is simple. It's very straightforward. I wouldn't describe the implementation as complex.

Deployment takes about an hour if a user is installing the regular application.

The solution does not require maintenance.

In terms of the installation, I had to request the process from IT. However, it was fairly simple. I did the initial implementation of the platform. That said, I did require the help of some of our data scientists. It was all in-house. We didn't require the help of an integrator or consultant.

I don't have any idea how much the solution costs. I don't deal with that aspect of the solution. I do believe the pricing is publicly listed on their website.

We're simply users of the solution. We don't have a professional relationship with Alteryx.

We're currently using the designer license, however, I'm not sure of the exact version I'm currently on right now. I believe it is the latest version.

There's a 14-day free trial for those organizations that would like to try the solution before they commit to anything.

I would recommend the solution, 100%. It basically has everything we need. While we don't have all the features on offer in our particular license, it does have everything we need, and if our needs change, we can always move up to the next tier.

I'd rate the solution nine out of ten.

My company uses Alteryx differently for each of our clients' individual cases.

It has helped across my organization.

Let's say we have a client that has been mostly using Excel for their data preparation, data casing, etc. By using Alteryx, they now spend most of their time in the data prep and then just go to reporting. It saves a lot of time.

I actually like all of their features. But the feature I have found most valuable is the data profiling. I can check the quality of my data and everything else. 

Alteryx is very good - I don't see any room for improvement. I can't think of any downside to Alteryx.

I use a lot of third-party tools with Alteryx. It would be great if Alteryx could take third party tools and incorporate them.

I have been working with Alteryx around two years.

In terms of stability, Alteryx is stable.

It is scalable. We currently have all of our almost 20 employees using Alteryx with plans to expand.

Their technical support is good.

The initial setup was straightforward. Depending on your machine it usually takes less than 20 minutes.

Alteryx is very good. You can do literately anything on Alteryx. Alteryx is so advanced. It's just drag and drop. You don't need to know any coding or other technical stuff to use Alteryx.

On a scale from 1 to 10, where 1 is the worst and 10 is the best, I would rate Alteryx a 10. No doubt, a 10.

We can now provide a single source of truth and build a bigger picture.

The data preparation. We have high reporting needs and the data is stored in many different tools. We are moving to predictive analysis too. Still, we need an easy to deploy solution until the IT department finds a better solution to connect all data sources.

The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user.

No stability issues.

No scalability issues, if it is accompanied with centralization or the organization has a strong top-down culture.

I would rate tech support five out of five. The team is willing to work with you and help with any difficulties.

We were using Oracle BI, and we are still using it. The value add of Alteryx is the agility for making changes, and speed of deployment.

The seat is too expensive.

I am using the desktop version. The only issue is it supports only a 64-bit system so I have to use an earlier version.

My advice to regarding this product is to keep learning and not rely too much on the support team.

The drag-and-drop capability to create a workflow works like drawing a flow chart. Each icon represents an action. You drag the action on the canvas and connect it to the data source, make configurations on the action, then run the workflow. When data goes through the process, the action will execute and you get what you want afterwards. The actions are intuitive and you can design you own way to do the same thing.

Alteryx automated some manual standard processes and the workflow is easy to maintain. Staff do not need to wait for IT to prepare data once a data warehouse is set up. The output can be shared within the company which other teams can make use of to reduce rework. Advanced analytics such customer response prediction, time series demand forecast can be done without a PhD.

I would like to see the field tracks along the workflow show the route of selected field. That would be easier to do checking or modification when designing a complex workflow.

Also, data profiling would be helpful if audit/compliance requires the info of data transformation. That would be easier to trace the data along the whole process.

I have used it for one year.

I did not encounter any stability issues, at all. This tool is designed for big-data analysis, so basically there are no input/output issues. It can process more than 10 million records in 10 minutes on a normal laptop.

I did not encounter any scalability issues, at all. As long as the server is set up, it can share the workload by the load balancer. It depends on how complex the problems you want to solve are or how many people you want to access them simultaneously.

Technical support is 8/10:

• Active community
• Quick response from client service
• International partners to help in person, on site

We previously used Informatica. The position of Alteryx is not only ETL, and we need to do more than just ETL, so we switched.

Initial setup was very straightforward. You can also download a comprehensive guide from the official website.

It is not cheap. So I would suggest you start with a trial and then evaluate how many licenses you need for your analysts. Basically, I do believe each analyst – regardless of whether they are in the sales operation, data analytics, or planning – requires one license. When they acquire the skills of how to use it, the ROI will be much larger than you can imagine.

We did not evaluate other options before choosing this product.

It would be great to find a local partner to do some training and use the consultation service at the beginning. It would help you and your staff to learn fast.

It is a very user-friendly product that doesn’t require a strong technical background; you can build something within an hour. It encourages self-service, has good capacity and supports a variety of data sources.