Dataiku Customer Reviews 2025 | SoftwareReviews

Dataiku

Composite Score

8.1 /10

CX Score

8.4 /10

15 Reviews Write a Review

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What is Dataiku?

Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way. With Dataiku, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.

Company Details

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Dataiku Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

91 Likeliness to Recommend

83 Plan to Renew

84 Satisfaction of Cost Relative to Value

100

Product Experience

100

Negotiation and Contract

100

Conflict Resolution

Strategy & Innovation

100

Service Experience

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Emotional Footprint Overview

Product Experience:: 100%
Negotiation and Contract:: 100%
Conflict Resolution:: 100%
Strategy & Innovation:: 97%
Service Experience:: 100%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+99 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Dataiku?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 83

Data Access

Data Security

Data Pre-Processing

Data Packaging

Data Labeling

Data Enrichment

Collaboration

Data Mining

Data Connectors and Data Mashup

Data Profiling

Cataloging

Vendor Capability Ratings

Average 81

Product Strategy and Rate of Improvement

Quality of Features

Ease of Data Integration

Ease of Implementation

Breadth of Features

Business Value Created

Vendor Support

Availability and Quality of Training

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Also Featured in...

Machine Learning Platforms

Score 7.7

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Dataiku Reviews

Rajdeep P.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jan 2025

Dataiku is easy to use and fantastic product .

Likeliness to Recommend

9 /10

What differentiates Dataiku from other similar products?

Easy to use and it's functionality is very good

What is your favorite aspect of this product?

Dataiku include visual tool like pre built NLP recipes and prompt engineering studio.

What do you dislike most about this product?

Does not scale and is not highly available by design

What recommendations would you give to someone considering this product?

I would recommend to use dataiku for create real business applications at scale without needing to code

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Matthew C.

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Oct 2024

Effective team collaboration and fast prototyping!

Likeliness to Recommend

8 /10

What differentiates Dataiku from other similar products?

It enhances the ability to collaborate in a team setting w.r.t modular pipeline development overlayed with version control and CI/CD. Although from an experimentation setting it is very similar to databricks it’s just way more intuitive and easier to traverse through a pipeline while being able to drill down into a modular component. It has brevity when also explaining a solution to a non-technical audience as it highlights very clearly how complex a technical solution is when answering “simple” business ask. This in turn helps defend and further justify why the IT department enables other departments within that organization.

What is your favorite aspect of this product?

When I used it in RBC I really enjoyed being able to see the workflows of other team members, where were TBDs and where I could pitch in on other project initiatives due to my role.

What do you dislike most about this product?

It’s not really anything about the product per se as opposed to the marketing of it. Why is it that databricks outclasses dataiku when they pretty much have the same value offering and then some?

What recommendations would you give to someone considering this product?

Think through what exactly you’re looking for. If you separate how you want your platform or insights to be created you can modularize all the other parts to other well known vendors and choose Dataiku as your hub for experimentation/production engine orchestrator.

Pros

Helps Innovate
Enables Productivity
Efficient Service
Respectful

Siddharth S.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2024

User-friendly interface with robust capabilities

Likeliness to Recommend

10 /10

What differentiates Dataiku from other similar products?

Dataiku differentiates itself with its user-friendly interface that caters to both technical and non-technical users, making data science more accessible.

What is your favorite aspect of this product?

My favorite aspect of Dataiku is its ability to bridge the gap between technical and non-technical users.

What do you dislike most about this product?

What I dislike most about Dataiku is that some of its more advanced features can feel overwhelming for beginners, requiring a steeper learning curve to fully leverage the platform's capabilities.

What recommendations would you give to someone considering this product?

i will recommend this to startup and big it companies

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Dataiku

What is Dataiku?

Company Details

Need Assistance?

Dataiku Ratings

91 Likeliness to Recommend

83 Plan to Renew

84 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love Dataiku?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Labeling Ability to annotate/ label data to create a training data set.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Also Featured in...

Machine Learning Platforms

Dataiku Reviews

Rajdeep P.

Dataiku is easy to use and fantastic product .

Likeliness to Recommend

Pros

Matthew C.

Effective team collaboration and fast prototyping!

Likeliness to Recommend

Pros

Siddharth S.

User-friendly interface with robust capabilities

Likeliness to Recommend

Pros

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Feature Ratings

Data Access

Data Security

Data Pre-Processing

Data Packaging

Data Labeling

Data Enrichment

Collaboration

Data Mining

Data Connectors and Data Mashup

Data Profiling

Cataloging

Vendor Capability Ratings

Product Strategy and Rate of Improvement

Quality of Features

Ease of Data Integration

Ease of Implementation

Breadth of Features

Business Value Created

Vendor Support

Availability and Quality of Training

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness