Alteryx Reviews

Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx.

They can provide some pre-built tools for predictive analytics instead of us having to build all the tools.

It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently.

I have been using this solution for more than six years.

I have done a lot of work on Alteryx and deployed it on client servers, and Alteryx is a highly scalable solution in my opinion.

It is mostly used by the analytics team, which includes analyst associates and project leaders. The consulting team also uses it pretty often. We would like to increase its usage because it is a pretty good software to work with.

I believe their technical support is pretty great. I mostly use the Alteryx community, which is really helpful. It is maintained by Alteryx people.

I used SQL previously, but it was not very good for quick and dirty analysis. So, I switched to Alteryx.

It is straightforward. It is on the cloud, but the major functions that we have are on the desktop itself. The cloud solution is good for client deployments.

My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive.

I would rate Alteryx a nine out of ten.

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

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.

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).

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.

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

The solution can scale to some extent.

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

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.

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.

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.

We handled the implementation ourselves in-house.

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

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.

We have many use cases for this solution.

For example, we used it for data prep and blending as well as machine learning. We built customer 360, have used it for labor optimization, and demand forecasting.

Alteryx has made us more agile and increased the speed and effectiveness of decision making.

All of the features are valuable to us.

The data prep and blending are great but so is the machine learning functionality.

We used spatial analysis, which is a good feature.

The server is too expensive for what you get and it is really a designer desktop on a server. It is not worth the money.

We have been using Alteryx for four years.

It is fairly stable and we have had no major issues.

With respect to scalability, it is rather good at handling large data sets.

Grazitti Interactive is very responsive and very helpful.

We did not use another solution prior to this one.

The initial setup is very easy.

We used Grazitti Interative. They are excellent!

We did not calculate a specific ROI.

The server pricing is high.

We did not evaluate other options before choosing Alteryx.

The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features.

From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific.

I have been using Alteryx for five years. 

The product is stable. 

The tool is scalable. 

The technical support is good and professional but not always quick.

The initial setup was simple.

The designer license costs 5000 euros. The server edition is 1000 euros. 

I would rate the solution an eight out of ten. 

Our primary use case for the solution is merging multiple data tests and utilizing various data sources.

The solution has improved our organization by enhancing the speed by which we can pull data.

It is efficient in optimizing our ability to get information.

The solution can be made more affordable.

We have been using the solution for approximately two years.

The solution is stable. I rate them a ten out of ten.

The solution is scalable. However, based on the price, it can be pretty costly, and organizations tend to limit the availability of that software to its users.

We have not had any experience with customer service and support.

The initial setup is straightforward.

I rate the solution a ten out of ten. The solution is good but can be more affordable. On the other hand, it is a great tool because of the community and can integrate various tools, data and types and software.

We have multiple use cases, but the most typical use case is to clean the data and use it for reporting.

The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful.

Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved.

I have been using this solution for just two years.

I would rate it an eight out of ten in terms of stability.

It's able to scale. We currently have a lot of users who use this solution.

We had a good experience with them. We are happy. I would rate them a four out of five.

Positive

It's simple.

We did it on our own.

It has a good price.

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

Alteryx is mainly used for data workflows and data preparation.

The Alteryx designer has been the most useful feature in the solution.

Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up.

I have used Alteryx for approximately three years.

Alteryx is a stable solution.

The scalability of Alteryx is good.

The technical support from Alteryx is good.

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

The initial setup of Alteryx was straightforward.

The amount of people needed for the implementation depends on the use case. It can vary from one to five data engineers and data scientists, but if it is a very large project, you might need 10 people involved. It all varies on the size of the project and the use cases.

There have been cases where people were building some data pipeline manually or building some reports manually, and they used to take one month. After the implementation of Alteryx, the turnaround time has been reduced to 10 minutes or maybe in some cases, a couple of minutes. If the timeframe or effort is coming down from one month and with multiple persons working to a couple of minutes automated, there is a huge volume of ROI.

My advice to others is before implementing the Alteryx, they need to be very sure about their use case. Based on the use case, they should plan the implementation.

I rate Alteryx seven out of ten.

• Data acquisition, accessing all types of data services no matter the format, vendor or platform, I can connect, read and process the data.

• Data blending and descriptive, creating consolidated data sets, such as joins, unions, summarize, and all basic and advanced data manipulation tasks. 

• Advanced analytics, like predictive and prescriptive analysis, which are very good tools. 
• Preparation

It involves reading multiple data sources, in different formats, reshaping and blending them together to answer business questions. We generate models for predictions and optimization.

Alteryx speeds up the time to obtain business answers/insights on data. It can quickly process huge amounts of data. It allows you to have your business prepare their own data sets, and it can even be used by IT people. The speed of processing is impressive to get something in minutes that would normally take you a couple of days or weeks.

Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase. 

• The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed.
• I did not find a data source that I could not connect to yet.
• In/out, preparation, blending, parsing, and transformation tools are the fundamental ones to start analysis.
• Spatial operations and analytics are super powerful for analysis which requires these types of models/operations. 

Even when it already includes some AI models, this area could be improved.

Another area which could be improved is the visualizations. It would be great to create the final users' visualization within Alteryx.

Finally, the UI does not reflects the amazing tool Alteryx is.

Three to five years.

It is absolutely stable. It has not crashed. It takes seconds to process huge amounts of data without too many resources on the machine.

There are no scalability issues. It is enterprise ready, and can multiple your processing power.

It is one of the most complete and great customer service that I experienced with a software company/ecosystem.

The customer support is fast, complete and proficient. The partner ecosystem is extensive, and all have a couple of very advanced resources to provide support.

Finally, Alteryx has an online community (Check it out at http://community.alteryx.com ), with a lot of people willing to help users.

I used several ETL tools, but none had the scope of Alteryx nor the ability to perform the analysis itself.

The initial setup was very straightforward using a wizard.

Next, Next, Next, OK process. Super easy, intuitive, and problem-free.

Both vendor team and in-house. In all cases, it was a straightforward experience. The vendor was very proficient and Alteryx always had our backs.

ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.

Opt for the three year subscription. It is 20% less than the yearly one.

It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).

I evaluated Datawatch and QlikView. 

Datawatch: Performance was not great and it was not so straightforward to implement.

Download the trial and test it. You will be amazed. It is the complete package for people who work with data.

Most important criteria when selecting a vendor: 

• Provide a good product.
• Have good support.
• Needs a clear vision of the future with a very solid roadmap.