Alteryx One Reviews

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 use this solution for KPIs and trending.

All of the data science features in terms of unioning and joining data together are valuable. The formula tools are good, and it provides an easy way to summarize data. 

It has some really good, solid, basic reporting functions. 

It's not as robust as a lot of the dynamic interactive tools, but it certainly gets into the more static reporting very effectively.

The only weakness I would say is on the visualization side of having that dynamic incapability.

I know that it is dependent upon having the on-premise and cloud server environments, but even there, the product functionality is somewhat limited.

This would reduce the need to integrate it with other products.

I have been using Alteryx for a couple of years.

I am not using the latest version. I am one version out, and I am in the process of having it updated to the latest.

I generally stay up to date with each release. 

I am using the desktop version.

I don't think that there any more issues with stability than would be expected for a product of this type. Those occasional things happen, but it's nothing that is significant.

Alteryx is easy to scale. 

We have three people who are using this solution in our organization.

Technical support is very good. They get high marks.

I would rate them a ten out of ten.

We had used JMP, which is a product by SAS, and it really didn't have any capability of doing the automation that Aletryx has, other than some really bespoke programming language. It is a type of script language. 

It is very awkward to learn and use it.

The initial setup is definitely straightforward.

I would definitely advise others to give it a fair look. It's a great product.

It is not marketed as a solution to all different types of aspects of analytics. I'm not going to downgrade it just because that's not within the scope of what they're marketing the product for.

Based on what it has been marketed for, I would rate Alteryx a ten 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.

We have multiple clients and multiple use cases - for every type of domain, be it finance, marketing, any domain. I cannot be very specific about them, however, there are plenty of use cases for different sectors.

I really like most of the transformation functionality.

The solution offers very good investigation functions and predictive analysis.

It's fairly easy to use and easy to implement and deploy, and also makes it very easy to fetch data.

The solution scales well.

The product is very stable. The performance is reliable. 

I have been working mostly on the designer aspect of the solution and I have found that the product and needs to improve its reporting tool.

The actual usage part of it needs to be explained more. It's too vague right now. For example, the solution needs more specific use case information. I need to know how we can deal with the BI tools on the market and the reporting tools standards. I want insights into these types of comparisons.

I've been using the solution for about a year and have been providing the solution to customers for about six or so months. Maybe even more.

The solution is very stable. The performance is good. There are no bugs or glitches. It doesn't crash or freeze. It is reliable. 

The product scales quite well. If a company needs to expand it, it can.

We do have a lot of customers on the solution currently, however, I cannot share exact numbers.

The implementation process is very easy. It's not overly difficult or complex. A company should have no issues with the implementation process.

I cannot recall the exact amount of time deployment took.

We are consultants. We can help our customers set up the solution.

The licensing renews on a yearly basis.

I was a consultant and now I am in pre-sales.

I'm using the latest version of the solution. I cannot speak to the exact version number.

I'd rate the solution at a nine out of ten. We've mostly been very happy with the product.

I would recommend this product to other users and organizations.

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 solution is primarily used for data preparation, data cleansing, and, in some cases, predictive analytics. That said, the major use is in the preparation of data.

I am the sales guy. I don't work with the product every day. However, I hear from my customers that they like the easy-to-use interface. Another feature they like is the in-database feature, and, right now, the new intelligence suite add-on they delivered a couple of years ago.

The support is very good.

The principal problem is the pricing. They're expensive products. They don't have an option to scale the product while the customer is starting to use the product. There are no options for customers that want to move from smaller scale and expand the solution to the rest oth the organización. The Designer (pleople who develope models and flows) cost 5,195 USD each one, but if you want to collaborate, you have to buy a server which cost 80,000 USD not matter how many users you have, so you cannot scale from a small group of users to a large one.

It's only available as an on-premises solution.

It would be ideal if the product offered some sot of option for smaller companies.

The solution is hard to scale in that it is pricey. You need to buy a server. You would need to have the correct sizing, and, if you don't, you would need to buy a bigger server, which is expensive. They don't have a way to grow the product progressively, in a progressive way.

The support is very good overall. We are satisfied with their level of service. They are knowledgeable and responsive. 

We also use Dataiku. We are partners for both products.

In the case of Dataiku, they have a stacking in Amazon. We are offering this option right now. I know that they are going to deliver an option in Google Cloud also. Alteryx, on the other hand, is only on-premises.

The licensing model that they use makes it a very expensive proposition for many companies. It requires buying a server, as it is only on-premises. 

In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000.

I've been searching about the difference between both Dataiku and Alteryx products. I'm working to evaluate the two and compare them to each other. Technically, we have a customer who is comparing both products, so we have to prepare a document comparing them for that purpose.

We are Alteryx partners.

I'd rate the solution at an eight out of ten. It's a very good product, however, the pricing makes it quite expensive.

In comparison, I love Dataiku. I've seen it's a very, very good product and we are working hard to start offering this product to all our customers. They have an option for companies to from medium-size to large-size. However, they don't have options for small customers. That said, you can start from, for example, an investment in $30,000 and up. You can go progressively investing in the product. That's not the case for Alteryx.

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.

We primarily use the solution for automation, data cleansing, QA, some data science and machine learning software for the company.

The product's Macros probably are one of the most useful aspects. It's obviously useful overall if you just combine all the tools, however, in terms of usability, the Macros really stand out. 

Using the Alteryx scheduler, and the use of Rtools for machine learning is very helpful.

These are all a bit more advanced, in terms of tools, however, they make for a very good user experience.

We've had a lot of issues within the Alteryx Server. It really could be improved.

There are memory management issues in terms of the Mongo database that they manage. There could be a better user interface for the gallery, which is where we automate the workflows. 

Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes. 

I've been using the solution for five years at this point.

The stability is okay. It's good on the designer, however, it could be better on the server.

In terms of scalability, the server is quite scalable, however, the designer is not.

The initial setup was easy, overall. It's easy to use and easy to learn and you don't have to be a data scientist or an engineer to use it. It makes the setup very straightforward, as the overall design is very approachable.

The deployment likely took us about two to three months to set up. It was five years ago now, and therefore it's difficult to recall.

We mostly handled the initial setup ourselves. We didn't hire consultants or integrators.

We're just a customer and end-user. We don't have a business relationship with the company.

We have an Alteryx server, and we also use the desktop version or the designer version on our workspaces, which are hosted on the cloud.

In general, I would rate the solution at an eight out of ten. We've been mostly happy with it, however, there are areas in which is could improve.

I am the head of investigation on-site, I use the solution every day for merging and other management of records. I also export data to individuals that need the information we store, such as facilitators.

The solution allows us to manage our databases data.

I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access. This is very valuable for us since we have many databases.

The interface could be improved. Currently, when you are looking at the information on the screen it is broken down into three parts of the screen. For example, when doing algorithms and you want to see the results on the screen this is when it gets really difficult to view. However, this is fine visually to work with on a big screen but when you are working with a laptop screen it is not very comfortable. Everything is very small.

You have to know to use it. You have to have some training and it's hard. This could improve.

I have been using the solution for approximately 10 months.

I have not had any issue with the stability of the solution.

Since I only have one license to use the solution it is difficult to know about the potential scalability.

The setup is really easy.

The install took approximately 35 minutes.

The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area.

I would recommend the solution 100%. I really think it is a better platform than competitors.

I rate Alteryx a nine out of ten.

Alteryx is one of our primary tools in our company and we use it mainly for future analytics. We are primarily trying to determine what the past has looked like and then apply predictive analytics. 

I think that our success with this product is mixed. It has probably gotten some people started easily or fairly easily on extracting data. But I also think that to some extent, it puts a limitation on us, because I don't think that we really realized the training that you need in order to be really strong in the product.

I like the fact that you can easily blend data from different platforms. That is one nice feature.

Additional comment: You can connect multiple input tools to different platforms and use joins/union to either concatenate or blend data in a seamless fashion.

Alteryx brands itself as a tool that you can use to avoid having to code. In reality, however, as soon as you start with your task, it gets just a little complex. Alteryx is just as complicated as coding, in my opinion. It is great for relatively simple data mining and data extraction type tasks, and I sure that it can do very advanced things, in particular when you look at the tool installation. That said, as soon as it becomes advanced, it is not very easy to use. In fact, it's quite complicated, so when persons with a coding background attempt to use it, they fall back on trying to code something, instead.

The biggest complaint that I have is that the online help is not very comprehensive. It is very formal, but there are not a lot of examples and use cases, and there are many signs there are difficult to understand. I think that it's a challenge.

In the future, I would like to see improvements made to the machine learning capabilities such that they are comparable with Python.

I have been using Alteryx for three years.

My impression is that it's quite stable. You can easily make small mistakes that have an impact. For example, we use Alteryx gallery and sometimes it seems what when you have a relative path versus an absolute one, it is tricky to keep track of.

I have never spoken with technical support.

This is my first job in analytics where I have used a dedicated tool. Prior to that, I did some work that involved coding.

Although I use this product regularly, I used to code for many years and I am not a big fan of tools like Alteryx. I don't think that it's a good product, and the reason is that when the use cases get more complex, the models get exponentially larger and more complex to put together.

My advice for anybody who is implementing this product is not to underestimate the need for training, in particular, when your use cases get a little more complex.

I would rate this solution a five out of ten.