Alteryx Reviews

Data blending and complex data manipulation and augmentation.

• Fast return on investment
• Increased data analytics productivity.

Workflows and a large number of tools were a quick QA methodology and rapid prototype creation tool.

More emphasis on extensible R and data augmentation interface design.

ETL.

Fast data processing and cleaning.

Crosstab and transpose.

Add inbuilt interactive visualization in Alteryx.

The drag-and-drop capability to create a workflow works like drawing a flow chart. Each icon represents an action. You drag the action on the canvas and connect it to the data source, make configurations on the action, then run the workflow. When data goes through the process, the action will execute and you get what you want afterwards. The actions are intuitive and you can design you own way to do the same thing.

Alteryx automated some manual standard processes and the workflow is easy to maintain. Staff do not need to wait for IT to prepare data once a data warehouse is set up. The output can be shared within the company which other teams can make use of to reduce rework. Advanced analytics such customer response prediction, time series demand forecast can be done without a PhD.

I would like to see the field tracks along the workflow show the route of selected field. That would be easier to do checking or modification when designing a complex workflow.

Also, data profiling would be helpful if audit/compliance requires the info of data transformation. That would be easier to trace the data along the whole process.

I have used it for one year.

I did not encounter any stability issues, at all. This tool is designed for big-data analysis, so basically there are no input/output issues. It can process more than 10 million records in 10 minutes on a normal laptop.

I did not encounter any scalability issues, at all. As long as the server is set up, it can share the workload by the load balancer. It depends on how complex the problems you want to solve are or how many people you want to access them simultaneously.

Technical support is 8/10:

• Active community
• Quick response from client service
• International partners to help in person, on site

We previously used Informatica. The position of Alteryx is not only ETL, and we need to do more than just ETL, so we switched.

Initial setup was very straightforward. You can also download a comprehensive guide from the official website.

It is not cheap. So I would suggest you start with a trial and then evaluate how many licenses you need for your analysts. Basically, I do believe each analyst – regardless of whether they are in the sales operation, data analytics, or planning – requires one license. When they acquire the skills of how to use it, the ROI will be much larger than you can imagine.

We did not evaluate other options before choosing this product.

It would be great to find a local partner to do some training and use the consultation service at the beginning. It would help you and your staff to learn fast.

It is a very user-friendly product that doesn’t require a strong technical background; you can build something within an hour. It encourages self-service, has good capacity and supports a variety of data sources.

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 can now provide a single source of truth and build a bigger picture.

The data preparation. We have high reporting needs and the data is stored in many different tools. We are moving to predictive analysis too. Still, we need an easy to deploy solution until the IT department finds a better solution to connect all data sources.

The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user.

No stability issues.

No scalability issues, if it is accompanied with centralization or the organization has a strong top-down culture.

I would rate tech support five out of five. The team is willing to work with you and help with any difficulties.

We were using Oracle BI, and we are still using it. The value add of Alteryx is the agility for making changes, and speed of deployment.

The seat is too expensive.

I am using the desktop version. The only issue is it supports only a 64-bit system so I have to use an earlier version.

My advice to regarding this product is to keep learning and not rely too much on the support team.

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. 

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're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.

The UX (user experience) is quite good on this solution. The UI (user interface) is also excellent.

The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions.

For the most part, the solution is very complete, and there isn't much missing.

The designer license lacks a few features that the server has.

There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.

I've been using the solution for just over a year at this point. It hasn't been too long.

The stability of the solution is very good. It's reliable. We have not experienced issues like bugs and glitches. It doesn't crash.

Only a small number of people use the solution in our organization. There are about four people on it. They are a mix of engineers, architects, and some data integration specialists.

There is a possibility to scale the solution. For the designer license, it's quite possible. Another server may be required, however.

The technical support has been very good. I'd rate it ten out of ten. We're quite satisfied with the level of service we've been provided. They are helpful.

We did previously use R and Python solutions before we switched to Alteryx. They were okay, but a bit difficult to work with.

Alteryx is easier to set up and implement. It allowed us to also focus on different aspects of the business.

The initial setup is simple. It's very straightforward. I wouldn't describe the implementation as complex.

Deployment takes about an hour if a user is installing the regular application.

The solution does not require maintenance.

In terms of the installation, I had to request the process from IT. However, it was fairly simple. I did the initial implementation of the platform. That said, I did require the help of some of our data scientists. It was all in-house. We didn't require the help of an integrator or consultant.

I don't have any idea how much the solution costs. I don't deal with that aspect of the solution. I do believe the pricing is publicly listed on their website.

We're simply users of the solution. We don't have a professional relationship with Alteryx.

We're currently using the designer license, however, I'm not sure of the exact version I'm currently on right now. I believe it is the latest version.

There's a 14-day free trial for those organizations that would like to try the solution before they commit to anything.

I would recommend the solution, 100%. It basically has everything we need. While we don't have all the features on offer in our particular license, it does have everything we need, and if our needs change, we can always move up to the next tier.

I'd rate the solution nine out of ten.