Dataiku vs Google Cloud Datalab comparison

Dataiku and Google are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while Google is ranked #17 with an average rating of 7.8. Dataiku holds a 13.0% mindshare in Data Science Platforms, compared to Google’s 1.0% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 80% of Google users who would recommend it.

Dataiku

Read 12 Dataiku reviews

6,417 Views
1,082 Comparison Views

100% willing to recommend

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

636 Views
191 Comparison Views

80% willing to recommend

Dataiku

Google Cloud Datalab

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

Google Cloud Datalab and Dataiku are products in the data analytics domain. Dataiku holds the advantage with its comprehensive features and user-friendly analytics tools.

Features: Google Cloud Datalab offers seamless integration with Google Cloud services, rapid notebook-based exploration, and real-time collaboration. Dataiku provides robust data preparation tools, machine learning capabilities, and easy-to-use analytics supporting teamwork.

Room for Improvement: Google Cloud Datalab could enhance its advanced analytics tools, improve user support for complex setups, and expand its non-Google Cloud integrations. Dataiku could benefit from reducing its initial setup complexity, offering more detailed customization options, and optimizing system resource usage for large datasets.

Ease of Deployment and Customer Service: Google Cloud Datalab ensures straightforward deployment in Google's ecosystem, leveraging Google's support. Dataiku offers flexible deployment on-premises or in the cloud with personalized support, facilitating a smoother transition.

Pricing and ROI: Google Cloud Datalab's integration lowers setup costs, appealing to budget-conscious users. Dataiku, despite higher initial costs, offers substantial ROI with its impactful features, justifying its pricing through efficiency in complex data tasks.

To learn more, read our detailed Dataiku vs. Google Cloud Datalab Report (Updated: June 2025).

Buyer's Guide

Dataiku vs. Google Cloud Datalab

June 2025

Download the complete report

Helped 859,129 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

6th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Datalab

Ranking in Data Science Platforms

17th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Visualization (18th)

Mindshare comparison

As of June 2025, in the Data Science Platforms category, the mindshare of Dataiku is 13.0%, up from 8.7% compared to the previous year. The mindshare of Google Cloud Datalab is 1.0%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The platform organizes workflows visually and efficiently

One of the valuable features of Dataiku is the workflow capability. It allows us to organize a workflow efficiently. The platform has a visual interface, making it much easier for educated professionals to organize their work. This feature is useful because it simplifies tasks and eliminates the need for a data scientist. If you are knowledgeable about AI, you can directly write using primitive tools like Pantera flow, PyTorch, and Scikit-learn. However, Dataiku makes this process much easier.

Read full review

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution is quite stable."

"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."

"Cloud-based process run helps in not keeping the systems on while processes are running."

"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."

"One of the valuable features of Dataiku is the workflow capability."

"Our clients can easily drag and drop components and use them on the spot."

"The most valuable feature is the set of visual data preparation tools."

"I rate the overall product as eight out of ten."

More Dataiku pros

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"All of the features of this product are quite good."

"The APIs are valuable."

"For me, it has been a stable product."

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"Google Cloud Datalab is very customizable."

Cons

"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."

"The ability to have charts right from the explorer would be an improvement."

"We still encounter some integration issues."

"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."

"I think it would help if Data Science Studio added some more features and improved the data model."

"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."

"One area for improvement is the need for more capabilities similar to those provided by NVIDIA for parallel machine learning training. We still encounter some integration issues."

"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."

More Dataiku cons

"The interface should be more user-friendly."

"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"The product must be made more user-friendly."

"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."

Pricing and Cost Advice

"Pricing is pretty steep. Dataiku is also not that cheap."

"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

"The product is cheap."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"It is affordable for us because we have a limited number of users."

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

859,129 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

Manufacturing Company

Educational Organization

Financial Services Firm

22%

University

12%

Computer Software Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.

See all answers

What needs improvement with Dataiku Data Science Studio?

There is room for improvement in terms of allowing for more code-based features. I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend ...

See all answers

What is your primary use case for Dataiku Data Science Studio?

My company sells licenses for both Dataiku and Alteryx, and we have clients who use them. I engage with several companies in telecommunications, retail, and energy to assess how our clients are uti...

See all answers

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

What needs improvement with Google Cloud Datalab?

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...

See all answers

What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

See all answers

Comparisons

Databricks vs Dataiku

Compared 30% of the time

KNIME vs Dataiku

Compared 19% of the time

Alteryx vs Dataiku

Compared 12% of the time

Altair RapidMiner vs Dataiku

Compared 11% of the time

Amazon SageMaker vs Dataiku

Compared 9% of the time

More Dataiku Competitors

IBM SPSS Statistics vs Google Cloud Datalab

Compared 35% of the time

Databricks vs Google Cloud Datalab

Compared 29% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 20% of the time

Oracle Analytics Cloud vs Google Cloud Datalab

Compared 16% of the time

More Google Cloud Datalab Competitors

Product Reports

Buyer's Guide

Dataiku

June 2025

Download Dataiku product report

Buyer's Guide

Google Cloud Datalab

June 2025

Download Google Cloud Datalab product report

Also Known As

Dataiku DSS

No data available

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Dataiku

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

Sample Customers

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

Information Not Available

Buyer's Guide

Dataiku vs. Google Cloud Datalab

June 2025

Free Report: Dataiku vs. Google Cloud Datalab

Find out what your peers are saying about Dataiku vs. Google Cloud Datalab and other solutions. Updated: June 2025.

DOWNLOAD NOW

859,129 professionals have used our research since 2012.

See our Dataiku vs. Google Cloud Datalab report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.