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Advance Analytics PO at a pharma/biotech company with 10,001+ employees
Real User
Top 20
Nice dashboard and good customizations but can be complex
Pros and Cons
  • "There are a lot of good customization capabilities."
  • "The solution can be quite complex in some aspects."

What is our primary use case?

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

What is most valuable?

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.

What needs improvement?

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).

For how long have I used the solution?

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.

What do I think about the stability of the solution?

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

What do I think about the scalability of the solution?

The solution can scale to some extent.

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

How are customer service and technical support?

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.

Which solution did I use previously and why did I switch?

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.

How was the initial setup?

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.

What about the implementation team?

We handled the implementation ourselves in-house.

What's my experience with pricing, setup cost, and licensing?

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

What other advice do I have?

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.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Data Science Lead at a mining and metals company with 10,001+ employees
Real User
Top 5Leaderboard
Scalable and reliable, with helpful support
Pros and Cons
  • "It can send out large data amounts."
  • "It's not easy to use, and they need a better UI."

What is our primary use case?

We use this solution to build skill and text classification models.

What is most valuable?

The scalability brings value to this solution.

It can send out large data amounts.

What needs improvement?

The user experience can be improved. 

It's not easy to use, and they need a better UI.

For how long have I used the solution?

I have been dealing with Databricks for more than five years.

We used this solution last five months ago and used the most current version during that time.

What do I think about the stability of the solution?

This solution is quite stable. We have not had any issues with stability.

What do I think about the scalability of the solution?

It's a scalable solution. Very few people are using this solution in our organization. Most don't have the skill.

How are customer service and technical support?

We were using the free version which did not have a lot of support.

We didn't really need support at the time. I had one conversation with them and they were very nice. They were helpful.

Which solution did I use previously and why did I switch?

We are using Dataiku for one project and also SageMaker. We have some issues with scalability using SageMaker, which is why we may be going back to Databricks.

SageMaker is a very specific AI tool.

How was the initial setup?

The initial setup was okay.

What's my experience with pricing, setup cost, and licensing?

There are many different versions. 

We used the trial version, which was free.

What other advice do I have?

If you have a lot of data, Databricks is a good choice. 

With the migration of Microsoft and Databricks, they make it easy. It's the direction to go in.

It's a very good tool. I would rate Databricks a nine out of ten. 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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