Alteryx Competitors and Alternatives

Get our free report covering Knime, Dataiku, Microsoft, and other competitors of Alteryx. Updated: December 2020.
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Read reviews of Alteryx competitors and alternatives

reviewer1388265
Head Of Analytics at a comms service provider with 1,001-5,000 employees
Real User
Top 20Leaderboard
Aug 17, 2020
Easy-to-use with a drag-and-drop querying feature, this fine tool still lags in visualization and machine learning

What is our primary use case?

We primarily use the product for data analysis and investigations.

Pros and Cons

  • "The product has a drag-and-drop feature that is excellent for business users and that makes it easy-to-use."
  • "The product is missing a visualization component so we have to use a separate tool for visualization."
  • "Machine learning is not utilized and that could enhance the product."

What other advice do I have?

When looking at different tools on the market for data analysis what you need depends on what you want to do. If you have a portfolio within your organization, you may feel that you will need a lot of other tools in addition to make a proper analysis. SAS is a broader solution. It is not just the Enterprise Guide. It has marketing automation and there is even stream processing. Then there is Enterprise Miner. Enterprise Guide is a suite and not just a one-dimensional tool. If you feel that you are ready to make an investment and you need the capability of advanced analytics within your…
reviewer1464411
Chief Automation Officer at a tech services company with 51-200 employees
Reseller
Dec 9, 2020
Robust, great for financial decision making, and very scalable

What is our primary use case?

The solution is mainly for bringing in a large amount of data. For example, let's say you have a retailer and they have various types of sales. They have stores both online and brick and mortar and they have sales happening in both places. What you're trying to do is decide all kinds of information based on the store versus online. Stores have different numbers of square feet and carry different types of merchandise depending on how they rank the store in different cities. If, for example, in Columbus, Ohio, if there are three stores, exactly the same store, they may be ranked differently… more »

Pros and Cons

  • "It works well for data scientists and can really help them drill down on the information in order to give management tangible data points for larger business decisions."
  • "This product really needs to improve its ease of use."

What other advice do I have?

We are resellers. We work with clients to implement solutions. I personally never executed the Trifacta solution. We did propose one, however, the client did not accept the solution. Overall, I would rate the solution at a nine out of ten. I've been pretty happy with it overall.
AmanKumar
Business Intelligence Consultant at a tech services company with 1,001-5,000 employees
Consultant
Dec 31, 2019
Has good machine learning and big data connectivity but the scheduler needs improvement

What is our primary use case?

We are using KNIME for basic analytics to reduce the amount of processing time. We found that it takes a lot of time for scripting on the cloud, so we have been using it locally on our PCs.

Pros and Cons

  • "This open-source product can compete with category leaders in ELT software."
  • "The ability to handle large amounts of data and performance in processing need to be improved."

What other advice do I have?

We have done a few projects with some of our clients in KNIME. In these cases, we mainly used KNIME because of its ability to work in a data center environment in an enterprise system. This was one of the most important things that we were looking for. The second point was that KNIME is an open-source analytics platform. The point is that if some client has less data or a relatively small database, then we can use the open-source platform instead of using Alteryx, which is fairly expensive. These are the options we advise our clients about. On a scale from one to ten where one is the worst and…
MayankNarula
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Real User
Top 5Leaderboard
Jan 19, 2020
Dedicated data science for enterprise-level data collection and analysis but the UI should be enhanced

What is our primary use case?

Our primary use for this particular product is to provide it for a large medical research company. It is a research company that helps pharmaceutical manufacturers, distributors, and clinics with analysis. Our client collects data that they crunch to provide these types of companies information about trends in distribution and production within the pharmaceutical industry. They use RapidMiner to crunch that data. The results of the analysis of the data helps with pricing, it helps with determining volumes, it helps with projections, et cetera. The client has a global license for RapidMiner, so… more »

Pros and Cons

  • "Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
  • "The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

What other advice do I have?

On a scale from one to ten where one is the worst and ten is the best, I would rate RapidMiner as around a seven. I choose seven because of the UI things and other parts of the product that might be improved. RapidMiner is more of an enterprise product. Here, in this region, most people like a packaged solution like Alteryx which covers more. Alteryx is also more attractive to many users because it is cheaper and easier to use from the perspective of the user interface. With Alteryx or Tableau, for example, you can just pick up data sources and then start EDL (enterprise data lake). It takes…
ManuelaGhomsi
Business Intelligence Developer/ Data Scientist at a tech services company with 11-50 employees
Real User
Top 20
Dec 5, 2019
User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow

What is our primary use case?

I just use the product for data migration. Once a month, I push data from one Redshift data warehouse to another Redshift data warehouse. I do that by using a simple SQL query.

Pros and Cons

  • "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
  • "I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

What other advice do I have?

Dataiku is a very broad solution that offers many possibilities. If you want to use it you must be fully committed to it. The biggest lesson I learned from using the product is that you can do many things with it. But you must commit the time to discover the tool. On a scale from one to ten where one is the worst and ten is the best, I would rate Dataiku as a seven. It is a little bit of a conservative rating because it is a nice solution and I just use it for a particular task.
Get our free report covering Knime, Dataiku, Microsoft, and other competitors of Alteryx. Updated: December 2020.
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