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WM
Director at a tech services company with 11-50 employees
Real User
Top 20
Review about Alteryx

Pros and Cons

  • "The support is very good."
  • "The principal problem is the pricing. They're expensive products."

What is our primary use case?

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.

What is most valuable?

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.

What needs improvement?

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.

What do I think about the scalability of the solution?

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.

How are customer service and technical support?

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

Which solution did I use previously and why did I switch?

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.

What's my experience with pricing, setup cost, and licensing?

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.

Which other solutions did I evaluate?

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.

What other advice do I have?

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.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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ME
Logistics improvement Analyst at a manufacturing company with 5,001-10,000 employees
Real User
Complicated to use for advanced tasks, although good for simple data mining and data extraction

Pros and Cons

  • "I like the fact that you can easily blend data from different platforms."
  • "Alteryx is just as complicated as coding, in my opinion."

What is our primary use case?

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. 

How has it helped my organization?

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.

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

I have been using Alteryx for three years.

What do I think about the stability of the solution?

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.

How are customer service and technical support?

I have never spoken with technical support.

Which solution did I use previously and why did I switch?

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

What other advice do I have?

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.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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MJ
Advance Analytics PO at a pharma/biotech company with 10,001+ employees
Real User
Top 20
Nice dashboard and good customizations but can be complex

Pros and Cons

  • "There are a lot of good customization capabilities."
  • "The solution can be quite complex in some aspects."

What is our primary use case?

We primarily use the solution for all machine learning projects, including perspective molding. We're using it for our marketing efforts.

What is most valuable?

It keeps on upgrading, which is nice. It's always updating with new releases.

A majority of people at our organization like the drag and drop features.

The database is very good.

Overall, the solution as a whole is extremely useful.

The initial setup is easy.

The security on the solution is pretty good.

It has a very nice dashboard.

There are a lot of good customization capabilities.

What needs improvement?

With some of the features in the database, they don't offer certain things, like Keynote or transposing. I'm not sure, if, with the latest update, they've added these capabilities in or not.

The solution can be quite complex in some aspects.

For some specific coders, it's still is a kind of concern that they don't have coding options available. We're moving to Dataiku due to the fact that it caters to both coders and clickers (those who prefer drag and drop).

For how long have I used the solution?

I'd say I've been working with the solution for two to three years now. I've been using Alteryx for all my data scientist projects.

What do I think about the stability of the solution?

The solution, for the most part, is pretty stable. We don't seem to have too many issues with it.

What do I think about the scalability of the solution?

The solution can scale to some extent.

We have about 200 to 300 users on the solution currently.

How are customer service and technical support?

While the community support offered by the solution is great, if you need to directly contact technical support, it's not so good. Often there are long queues and it takes a while to get help.

Which solution did I use previously and why did I switch?

I've been using Alteryx for all my data scientist projects up until recently. However, now I'm shifting to Dataiku, which my organization is offering instead.

How was the initial setup?

The initial setup is not too complex. It's pretty straightforward. We found it to be rather easy. However, there are certain implementations that can be a little more complex.

What about the implementation team?

We handled the implementation ourselves in-house.

What's my experience with pricing, setup cost, and licensing?

I'm not sure of the exact cost of the solution. It's not an aspect of the product I deal with directly.

What other advice do I have?

We're just a customer. We don't have a business relationship with Alteryx.

I haven't updated to the latest version yet. I'm unsure which version of the solution I'm currently using.

We are, as an organization, shifting and moving away from the solution. We are now going to utilize a new tool that is being selected. Due to some complexities in Alteryx, we are moving away from it.

Overall, I'd rate it seven out of ten. It has a lot going for it, however, we need a solution that's less complex and offers more coding capabilities.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
LW
Senior Data Architect, Total Rewards Analytics and Insights at a retailer with 10,001+ employees
Real User
Top 20
Offers very good data transformation with good scheduling and a straightforward setup

Pros and Cons

  • "The scheduling within the solution is excellent."
  • "It's a technical product and those that don't have proper training will have to deal with a steep learning curve."

What is our primary use case?

We primarily use the solution for data processing and ETL.

What is most valuable?

Overall, I'd have to say the tool is pretty awesome.

The solution offers very good data transformation.

Users are able to read in from any source, combine heterogeneous sources, and providing output or input to the next downstream step. You can put these things together or you can create very complex or simple flows and then tie them together. 

The scheduling within the solution is excellent. 

The initial setup is straightforward.

What needs improvement?

I can't recall a feature that may be lacking. Overall, we've been happy with the solution.

It's a technical product and those that don't have proper training will have to deal with a steep learning curve.

For how long have I used the solution?

I've been using the solution for over five years now. It's been a while.

What do I think about the stability of the solution?

The solution is reliable and quite durable. We haven't dealt with bugs or glitches. It doesn't crash or freeze. It's very stable. We're happy with it.

What do I think about the scalability of the solution?

The solution scales quite well. If a company needs to expand it, it should be able to do so easily.

How are customer service and technical support?

We don't deal with technical support often. We typically have had other people to do that for us within our organization. That said, the support has been there to accommodate us in terms of the different and pretty stiff information security policies and standards. We're mostly satisfied with the level of service.

How was the initial setup?

The initial setup is not complex at all. We found it easy. It was straightforward. 

What's my experience with pricing, setup cost, and licensing?

I don't handle the licensing aspect of the product. I can say that we have to have an enterprise license. Currently and periodically that gets challenged and they try to take it away and we honestly have a hard time finding a tool that could replace it. Therefore, we wind up keeping it. It's happened several times.

What other advice do I have?

We're a corporate user and end-user of the product. 

While I don't know the version number off the top of my head, I can say with certainty that we are using the latest one.

The solution is going to be best for technical users or people that have hands-on experience with data such as data scientists or people that can be creative and deal with multiple different databases and different permutations in the structured query language right across those different databases. 

It's fairly standard, however, not completely, and so, people in that realm tend to be able to function well, people that are analysts may struggle and have a bit of a learning curve that they have to deal with. I've been doing this throughout the information life cycle - about 35 years plus. Therefore, for me, it's my second nature. Others that haven't been exposed to technology over that timeframe may struggle.

I'd rate the solution ten out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
Sastry Tumuluri
Executive at Suyati Technologies
Real User
Top 20
Stable with no-code analytics capability, but needs Linux support, better pricing, and better response from their US partner management program team

Pros and Cons

  • "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."

What is our primary use case?

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

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

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

What do I think about the stability of the solution?

It is stable.

What do I think about the scalability of the solution?

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.

Which solution did I use previously and why did I switch?

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.

What's my experience with pricing, setup cost, and licensing?

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.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Rushabh-Shah
Manager - Analytics at Bigtree Entertainment Pvt Ltd (Bookmyshow)
Real User
Top 20
Stable, scalable, and offers excellent drag and drop features

Pros and Cons

  • "The solution has excellent drag and drop functionality. There's no need for coding."
  • "The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."

What is our primary use case?

We primarily use the solution for ETL purposes and also for a lot of our modeling and scheduling.

What is most valuable?

The solution has excellent drag and drop functionality. There's no need for coding. There are nodes ready for us to use as well. It makes everything extremely easy. The user-friendliness is a big draw for us.

What needs improvement?

The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete.

The solution could maybe use a connector as a direct input for MySQL or something like that. Right now, we use ODBC connectors for MySQL. If a direct connector was available on this product that would be very helpful, especially for our organization.

For how long have I used the solution?

I've been using the solution for five years.

What do I think about the stability of the solution?

The stability of the solution is good. We don't have issues with the product crashing and we don't find there are bugs and glitches that affect its quality. It's reliable.

What do I think about the scalability of the solution?

The scalability is very smooth. If a company needs to expand the service, they should be able to do so easily.

How are customer service and technical support?

The technical support is great.

There's a very good community that surrounds the solution. However, you can also reach out to Alteryx directly as well. They're just a call away if you need them. I would say our organization is satisfied with the level of service they provide. 

What's my experience with pricing, setup cost, and licensing?

The pricing of the solution is a bit on the expensive side. We use an Alteryx Server and Designer as well. The server itself is a bit pricey.

What other advice do I have?

We're just a customer. We don't have a business relationship with the company.

Our organization is dealing with large amounts of data, yet we do not have the money to buy a Microsoft product like SQL. Alteryx is a pretty good alternative to handle the ETL part of the workload.

We've been largely satisfied with the solution.

I would rate the solution eight out of ten overall. We've been happy with the results that have been provided to us so far. If the solution offered a connector as a direct input for MySQL, or better data visualization, I'd rate it higher.

Which deployment model are you using for this solution?

Private Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
MJ
Senior Consultant at a tech services company with 1,001-5,000 employees
Real User
Top 5Leaderboard
Good connector feature and we can include custom scripts; deep learning models not supported

Pros and Cons

  • "The connectors are a very good feature."
  • "Deep learning models are not currently supported."

What is our primary use case?

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.

What is most valuable?

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. 

What needs improvement?

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.

For how long have I used the solution?

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

What do I think about the stability of the solution?

This product is quite stable. 

What do I think about the scalability of the solution?

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. 

How are customer service and technical support?

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

How was the initial setup?

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.

What's my experience with pricing, setup cost, and licensing?

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

What other advice do I have?

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. 

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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JH
QA Validation at a pharma/biotech company with 1,001-5,000 employees
Real User
Top 20
Easy to summarize data, easy to scale, good reporting features, and excellent technical support

Pros and Cons

  • "All of the data science features in terms of unioning and joining data together are valuable."
  • "The only weakness I would say is on the visualization side of having that dynamic incapability."

What is our primary use case?

I use this solution for KPIs and trending.

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

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.

What do I think about the stability of the solution?

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.

What do I think about the scalability of the solution?

Alteryx is easy to scale. 

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

How are customer service and technical support?

Technical support is very good. They get high marks.

I would rate them a ten out of ten.

Which solution did I use previously and why did I switch?

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.

How was the initial setup?

The initial setup is definitely straightforward.

What other advice do I have?

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.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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