Alteryx Reviews

We have our data in several ACP-based systems, so we rely on Alteryx to extract the data from the system and build the data modeling in Alteryx. There isn't a cloud version. It is on-prem, but we can deploy it on the cloud, too. We do on-prem development and deploy it on the cloud. 

Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it.

It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting.

In-DB is a concept in Alteryx where we don't need to export data into the Alteryx server to process. The data remains in the source system, so Alteryx can directly manipulate it. That feature is available only for a few tools with limited options. 

I've been using Alteryx for about two years now.

Alteryx is stable. 

Alteryx is scalable. My teammates and everyone in my company have an enterprise account, so we are able to access it.

Alteryx support responds quickly, and my interactions with them have been good. 
I rate Alteryx nine out of 10.

Setting up Alteryx is straightforward.

I rate Alteryx nine out of 10. I have worked on multiple media tools. This one seems to work for most use cases, and it is pretty fast when compared to others. 

If you're implementing Alteryx, you should get the Alteryx application and take advantage of the self-study materials available in their portal. It'll be easier if you try out this application before you start working on the toor.

I primarily use Alteryx for connecting to various data sources, data transformation and modeling, and preparing reports or extracts or data that we can visualize in other tools.

The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts. Alteryx's versatility and ability to graphically present workflows of data are also excellent features.

Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud. You have to push the model into the cloud from your local machine, which is a pain compared to other tools like DataIQ, which you can develop fully from scratch in the cloud.

I've been using Alteryx for two-and-a-half years.

We had some issues with deployability and scalability because we had to develop on our own machines and then push the workflow into the cloud, which caused issues with updates that caused functionality misalignments. Ideally, you'd be able to develop and run production applications in the same environment or platform, i.e. the cloud.

I previously used DataIQ, which is a similar product but is fully in the cloud. I was pretty impressed by it and would probably rate it higher than Alteryx.

The initial setup is quite straightforward, I would rate it four out of five.

We used a central support team from Vodafone Group.

Alteryx isn't extortionately expensive, but it's not cheap either. I'd rate its pricing as three out of five.

I would recommend trying a few different tools to see which one exactly fits your use case before deciding on Alteryx. I'd rate Alteryx as eight out of ten.

Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better.

The most valuable feature of Alteryx has been Designer. That has been beneficial because we load our data tables for Tableau. We use Alteryx to load the data into a database from various different data sources to come up with dashboards our business can work with.

We've been working with the products a bit over two years now.

The stability is good. There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant.

I don't think we've reached the limits of Alteryx yet. Our strategy is to push the envelope to see how far we can go, especially in terms of our advanced data analytics and using Alteryx to look for other types of anomalies or issues with our data.

We have around 20-plus active users doing transactional data analysis. We will likely increase the usage depending upon the use case and expansion of our global data sources.

Most of the technical support we have used thus far has been internal.

The setup was pretty straightforward. We have a group that handles deployments within our company, and we get our license. They have Alteryx servers set up. I'm just in charge of the users with licenses. We had an implementation strategy that was completed in a few weeks.

The setup was performed by an in-house team.

I can't speak about the specifics of our licensing. Our operating costs are all shared and allocated. That helps keep the cost down.

We evaluated other options, but the decision was made by our corporate leaders, and I can't recall what the alternatives were. 

I rate Alteryx nine out of 10. I might be biased because of what I'm achieving with it. I don't think we've reached the extent of our usage. I want to increase the data analytics with it. My advice to prospective Alteryx users is to have a good plan. Run through some tests in scenarios where you think it might provide you with a good solution.

We were analyzing data trying to find anomalies with the servers and things that were going wrong. Normally in what we do, it can be a very manual process looking for that kind of stuff. Therefore, using this product, I created a workflow that went out and looked across all devices for problems that are happening, and managed to cut down the number of issues that were being created daily.

The amount of labor that it takes us to find issues is pretty high. When you put the automation in place, that frees up your time to concentrate on the advanced analytics. We recognized right away in that first year that the amount of FTEs that we would have to acquire to do that work was a significant amount of money. It just stepped us into automation of many things that we do. That frees us up to be able to do a more mature analysis, and not that day-to-day stuff that you we have to track.

Not everybody's budget allows for having a team of 20. We just don't have that. It's saving us a lot of money in FTEs.

Right away we knew this has a lot of value, even from the perspective of data manipulation and automation. 

There are all sorts of use cases that we could come up with. It does take a little bit of learning and figuring out how to work the tool, however, we've been really successful with it. I even went and presented at one of their conferences our use case. 

Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful. 

It not only helps us with efficiency. You can also flip the steps apart to make that data flow in various ways. 

Most tasks run in less than two minutes and provide us with what we need very quickly. I can wrap rules around the data to look for certain things or to notify people. 

The amount of manual labor that we're saving by writing those workflows is huge.

The solution does have a bit of a learning curve.

I initially managed the product completely. Then, when the user base grew, another group just took it over. What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown. When you get hundreds of users in there, trying to manage access to the product is a little tougher than Tableau.

I've used the solution for maybe around five years or so.

The solution is quite stable. It's not as mature as Tableau in that stability area, however, it's pretty reliable. We don't have a lot of problems with it. Initially, we created a lot of cases as we didn't understand how to best manage the product. Now, very rarely do I open a case with support and have issues.

They recently moved to a different support model. Initially, when we came to the product, the support was pretty good. Now, when we open cases, it seems not so good. They're asking customers to pay more money to get a higher level of support. Of course, due to the fact that we don't open that many cases, it's not important to us to get to that higher level. That said, the response time given and the attention to us is not as good as it was initially.

When trying to pull large datasets into Tableau right away we realized that we had to do something different. Prior to Alteryx being available, I would use scripting to stage the data. I happened to notice an ad on LinkedIn for Alteryx, and I thought, "Wow, this is exactly what I need." I talked management into buying it. I was the first one in the company to start using the product.

We used outside vendors to come in and help in certain parts of the implementation.

It's more expensive than Tableau, for example.

There has been some scrutiny on the overall costs. We're trying to go to more open-source, with more products that don't cost so much. I have to continually work with folks on proving that the value of what we pay in licenses.

The solution has recently changed its support process and is now pressuring users to pay for a higher level of support services. That could potentially be an extra charge for some companies. 

We are just customers and end-users.

I would advise other companies considering the solution that the training is important. They've been great working with us on free training for this, that, and the other. The company really does provide a lot of those resources. The community is very good. The knowledge base that's out there in the community is great. A company should just tap into that and any free training they can. It takes a little bit of time to get proficient at it, however, the payoff is there.

Overall, I would rate it at a seven out of ten.

Alteryx is a simple and easy-to-use solution.

Alteryx's predictive data models are pretty average and can be improved. If I'm using it on a day-to-day basis, the predictive model should keep improving based on data gathering and data preparation.

Alteryx is a user-friendly solution; its content is available everywhere to help users use its functions.

The solution’s initial setup is super easy.

Alteryx is an expensive solution.

Alteryx uses the UI interface wherein you can easily do a lot of things, and it doesn't have to code a lot.

My initial objective was to understand if a non-technical person with a small data science team could leverage a platform that can do a lot of things other than putting in a lot of resources. That's one of the reasons why our company chose Alteryx.

Alteryx is one of the few tools where user experience and customer feedback are up to the mark. I was from a non-technical background, and I wanted to create operators and do a lot of analysis and data cleaning on my own. With Alteryx, I didn't have to do anything except create the flow.

I would recommend Alteryx to other users.

Overall, I rate Alteryx ten out of ten.

The solution is used for data ETL.

The most valuable feature of Alteryx is its performance. It is a powerful solution.

The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts.

I have been using Alteryx for approximately four years.

I rate the stability of Alteryx a ten out of ten.

We have three people using the solution in my organization. We plan to increase our usage, we only will have to purchase more licenses.

I rate the scalability of Alteryx a nine out of ten.

I have not used the support. There is a helpful online community where we can search for answers to our questions.

I previously used other solutions but they were not as good as Alteryx. We switched because of the scalability, ease of use, community, and workflow.

The initial setup of Alteryx is not difficult.

I rate the initial setup of Alteryx a nine out of ten.

The license price of the solution is expensive.

I rate the price of Alteryx a nine out of ten.

This is one of the best tools for ETL. It has a lot of capabilities. I would advise others to explore the solution. There is a free certification that is offered.

I rate Alteryx a nine out of ten.

The solution is good for data transformation from the web and office.

I use the solution to build an ETL workflow.

The ease of use is the solution's most valuable feature. It doesn't require coding for usage. I only have to drop and drag the available options to perform complicated functions.

They should make the solution user-friendly for nontechnical people by giving specific names to the options. That will be helpful for them to understand.

I have been using the solution for six months.

I rate the solution's stability as a ten.

It is a scalable solution. We are two users who created a workflow using it. We use it once a month or two.

I rate the solution's pricing as a ten, as it is highly priced.

I rate the solution as a nine.

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.