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Dataiku Data Science Studio OverviewUNIXBusinessApplication

Dataiku Data Science Studio is #10 ranked solution in top Data Science Platforms. IT Central Station users give Dataiku Data Science Studio an average rating of 8 out of 10. Dataiku Data Science Studio is most commonly compared to Alteryx:Dataiku Data Science Studio vs Alteryx. Dataiku Data Science Studio is popular among the large enterprise segment, accounting for 68% of users researching this solution on IT Central Station. The top industry researching this solution are professionals from a computer software company, accounting for 25% of all views.
What is Dataiku Data Science Studio?

Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

Dataiku Data Science Studio is also known as Dataiku DSS. This solution enables you to discover, share, and reuse code and applications so that you can deliver high-quality projects easily and streamline your path to production. As an enterprise leader, you can leverage the power of AI to confidently make business decisions.

With Dataiku, an intuitive interface is guaranteed and allows users the ability to access and work with data using a point-and-click method. Dataiku analyzes the data to suggest key transformations. Beyond offering 109 data transformation capabilities, Dataiku also includes pipelines that can be generated in SQL which can thereafter be scheduled for automated recomputation.

What's more, Dataiku allows you to create more than 20 different kinds of charts and also gives you the ability to deploy them into dashboards or create custom web applications for the use of interactive and sophisticated visualization tools.

In addition, with Dataiku you have the option of using an in-depth statistical analysis, including but not limited to: curves fitting, univariate and bivariate analysis, principal component analysis, correlation analysis, and statistical tests.

Dataiku Data Science Studio Consists Of:

  • Data preparation
  • Visualization
  • Machine Learning
  • Data Ops
  • ML Ops
  • Analytic Apps

With Dataiku Data Science Studio You Can:

  • Integrate any data 10x faster
  • Build and automate sophisticated data pipelines
  • Build and share insights in minutes
  • Perform in-depth statistical analysis
  • Create thousands of models to find the best ones
  • Explore and explain models

Dataiku Data Science Studio Benefits and Features:

  • Use your favorite languages and tools: You can create code working with tools you are already familiar with in the language you prefer (Python, R, SQL, etc.)
  • Easily reuse and share code: This feature helps you reduce inefficiencies and inconsistent data. Dataiku includes project libraries, allowing teams to centralize and share code. Although it comes pre-loaded with starter code for tasks, it also provides you with the ability to add your own code snippets.
  • Simplify complexities related to connecting to data and configuring computer resources: With this feature, data scientists can execute code in both a containerized and distributed way, while also selecting the runtime environment they want. Dataiku works to maintain those containers as well as shut them down when the job is completed.

Features Users Find Most Valuable:

  • API
  • Reporting/Analytics
  • Third-Party Integrations
  • Data Import/Export
  • Natural Language Processing
  • Search/Filter
  • Monitoring
  • Workflow Management

Reviews from Real Users

IT Central Station users note that Dataiku Data Science Studio has a fantastic interface and is also flexible, intuitive, and stable. One user said "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person." Another user mentioned “The best feature is the user interface. It allows us to see the visual flows.”

Dataiku Data Science Studio was previously known as Dataiku DSS.

Dataiku Data Science Studio Buyer's Guide

Download the Dataiku Data Science Studio Buyer's Guide including reviews and more. Updated: November 2021

Dataiku Data Science Studio Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

Dataiku Data Science Studio Video

Dataiku Data Science Studio Reviews

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ManuelaGhomsi
Business Intelligence Developer/ Data Scientist at a tech services company with 11-50 employees
Real User
Top 10
User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow

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 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.

What is most valuable?

I like the interface, which is probably my favorite part of the solution. It is really user-friendly. I might think that it is user-friendly because I'm in IT and it seems familiar to me. It is colorful and I think it is really beautiful and well-designed.

What needs improvement?

I think the interface is very nice, but for somebody who is not as familiar with IT as I am, it may be much more difficult for them. It is nice for me because I'm familiar with this type of software that falls in the realm of the data science platform. I can see how a client who really doesn't know anything about IT or computers might try to use it and find that it would be a little difficult to access some features. That type of user may really need training in order to work with Dataiku. So, in the next release of Dataiku DSS (Data Science Studio), they should make it more friendly for everybody to use, not just IT people. 

For me, I find that it is a little slow during use. When I use Dataiku to run my script to transfer data, it takes more time than I would expect for the operation to complete.

For how long have I used the solution?

I have been using this solution for a year.

What do I think about the stability of the solution?

I have not done a lot of exploration into Dataiku and its other features as I only use it for a particular task. But from my experiences and from the review I'm seeing online, it is a stable solution.

What do I think about the scalability of the solution?

I think there is some room for improvement in scalability as I already find it performs a little slowly. In my company, there are three of us. There is an IT manager, there is the data warehouse manager, and there is me. In the company that we use it for, there are more than 800 employees.

How are customer service and technical support?

I have contacted customer service before. They respond quickly, so that is a plus.

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

We did not use other solutions before switching so much as we are using a few different solutions together. We use Knime and Alteryx for data science and analytics. I just use Dataiku for data migration for now. I just started using Knime, but I'm most familiar with Alteryx because I have used it for one-and-a-half-years to practice ATL (Active Template Library) on my data. Alteryx is somewhat the same as Knime, but it is more user-friendly.

How was the initial setup?

The company I work for did the setup for me. It was already set up when I came.

What about the implementation team?

We are consultants so we do the implementations ourselves. Another consultant introduced Dataiku to us initially. I guess they really appreciated the solution.

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.

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner.
DeveshSingh
Data Scientist II at Alumnus Software Ltd.
Real User
Top 5
Flexible and intuitive with good stability

Pros and Cons

  • "The solution is quite stable."
  • "The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

What is most valuable?

The best feature is the user interface. It allows us to see the visual flows. 

The intuitiveness of the software itself is very good. 

It has both click or code flexibility, which is quite useful. I already have coding knowledge, so I go for coding as my go-to method of interaction. However, for a normal person that may not have a background in coding, the visual lists are really great. It makes it easy for non-IT individuals to navigate everything.

The pricing is very good.

The solution is quite stable.

You can scale the solution well.

What needs improvement?

When the flows get complex, there are too many data sets on them. Normal users will get confused by the influx of information. This was a problem up until recently, however, they have since resolved it. Now, there's a feature called Zones(introduced in version 8) that allows users to collapse multiple flows into a single flow. It allows everyone to easily carry on with their work.

Other than that issue, that has now been resolved, there isn't anything lacking by way of features.

The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective.

For how long have I used the solution?

I've been using the solution for more than a year at this point.

What do I think about the stability of the solution?

The solution is pretty stable. Since ours is a shared platform, the solution does freeze sometimes when a complex model is training or if you keep too many notebooks open the in-memory after editing. Though the usage has been optimised by admin end using resource control. Clearing notebook memory and job logs through in-built macros keep the solution stable.

What do I think about the scalability of the solution?

The solution is scalable. It has the power to integrate the cloud platform. This makes scalability both possible and easy. 

We have ~50 developers/users working with the solution right now.

How are customer service and technical support?

Technical support is really, really good. It's excellent, actually. If you click on the "get help" button and you mark it as urgent, you get a reply from the CTO himself. I find that most of my conversations are direct with the CTO, and that's due to the fact that most of the time my questions are quite complex.

They're very knowledgeable and are able to assist us very well. They always reply very promptly. We're quite satisfied with their level of support.

I'd rate it overall four out of five from a solutions perspective.

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

I haven't used another solution. This is my first as we are just growing this space within our organization.

How was the initial setup?

I didn't handle the initial setup of the solution. Therefore, I can't speak to how difficult of complex the setup was.

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

This solution is cheaper than other competitors. It's less expensive, for example, than Alteryx or any other product.

What other advice do I have?

While I started using version 5.1 of the solution, I've currently updated it to 7.0.1.

I would recommend the solution. It's affordable and user-friendly.

Overall, I'd rate it nine out of ten. I'd rate it higher, however, I don't have enough experience with other similar solutions, therefore, it's hard to compare.

Which deployment model are you using for this solution?

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