Alteryx Reviews

I believe we are using the new version. 

I use the solution for development and certain financial projections, such as making a business plan. I employ the solution for the amalgamation of big data. 
.
I also use the solution for certain analytics deployment, such as that found in the commercial arena, for ascertaining the projections of sales. 

I like the solution's velocity, the speed with which it processes data, and its ease of use. It has good usability. 

A colleague of mind mentioned that the solution should have more options for the visualization of data. The visualization filtering could stand improvement. 

The documentation could be improved upon. 

The price could be better. Though we are satisfied with the solution, we feel the price to be a bit on the expensive side. We make use of another ETL solution, the PowerCenter. We would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so. 

I have been using Alteryx within the past 12 months. 

I believe the solution to be stable. 

I believe the solution to be scalable, although I cannot say for certain, owing to the price. It We are not talking about a corporate solution at the moment. While we wish to improve upon and escalate the solution, I believe it is too expensive for us to do so at the present time. 

While I cannot speak about the future with certainty, we do have plans to increase the usage. We are satisfied with what we have at present. My area currently consists of four licenses and we would like to improve on this, to have more users. For the moment, we don't have definite plans to buy another license, certainly not in 2022, although, perhaps, in 2023. I sure hope so. 

Technical support is good.

We make use of another ETL solution, the PowerCenter.

We also make use of Databricks, which we use as a data science platform, although I cannot say how this compares with Alteryx. We use Databricks as a corporate ETL solution from the Data Lake. 

We use Microsoft Azure, as well.  

The initial setup was easy.

The deployment was fast, I believe lasting one day. 

We handled the setup on our own. 

I don't know how many people are needed for deployment and maintenance. 

The price could be better. Though we are satisfied with the solution, we feel the price to be a bit on the expensive side. We make use of another ETL solution, the PowerCenter. We would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so.

The licensing costs are around 26,000 reals, perhaps $6,500 a year.

The licensing is all inclusive. There are no further costs. 

I don't make use of Alteryx myself, although my area, of which I am a manager, does. 

I am a customer of Alteryx. 

There are six people making use of the solution in our organization, two from compliance and one a data scientist. 

My colleage rates Alteryx as a nine out of ten. She says she loves it. 

We use the solution for its customer segmentation feature.

The solution works efficiently in handling a huge amount of data.

They should improve the solution's pricing.

We have been using the solution for two and a half years.

It is quite a stable solution. I rate its stability as a nine.

We have six users of the solution, including engineers and data scientists. I rate its scalability as a seven.

The solution's initial setup is time-consuming but easy to process.

We installed the solution with the help of our in-house team.

The solution is expensive. We have purchased its yearly license.

I evaluated Spark for its functions. In comparison, Alteryx manages massive data more smoothly. 

The solution requires three executives for the maintenance. I recommend it and rate it as an eight.

We are using Alteryx mostly for mission learning, forecasting, and predictive modeling use cases.

Alteryx has improved our organization because it provides an easy way to build machine learning models as well as to do citizen data science work.

The most valuable feature of Alteryx is the intelligence suite. 

Alteryx can improve the model management and deployment processing of large workloads.

In a future release, there should be more cloud integration with GCP. The ability to connect to GCP components as well as deploy things on the cloud would be beneficial.

I have been using Alteryx for approximately four years.

Alteryx is stable.

We have found Alteryx scalable in our usage, when we increase users we will see how it can adjust.

We have approximately 100 people using this solution in my organization. The users are from different departments, such as financial analysts, data scientists, and data analysts. We are using the solution extensively and plan to keep using it.

Alteryx support is good.

I rate the support from Alteryx a four out of five.

I have not used other solutions in the same category in the company I work for.

The initial setup of Alteryx was straightforward. The full deployment took approximately three days to a week.

We did the implementation of Alteryx in-house. We have three to five people for the maintenance and deployment of the solution.

To my knowledge, we haven't quantified, the return on investment, but we have seen a return on investment.

My advice to others is that the solution has a lot of room for expansion and they should get going on a couple of use cases, even if they are small automation use cases, and then build from there. You can always build in machine learning and more sophisticated use cases as you go along.

I rate Alteryx an eight out of ten.

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.

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.

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.

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.