Dataiku Customer Reviews 2026 | Data Preparation for Analytics

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Dataiku

Composite Score

8.2 /10

CX Score

8.3 /10

18 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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Awards & Recognition

Dataiku won the following awards in the Data Preparation for Analytics category

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Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2025

4 Top Rated Capabilities

12 Top Rated Features

2025

Dataiku Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Dataiku.

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.

90 Likeliness to Recommend

2
Since last award

85 Plan to Renew

2
Since last award

81 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

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.

+97 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 85

Message Model

100

Metadata Management

100

Data Preparation Workflow

100

Record Deduplication

100

Intelligent Alerts and Notifications

100

Data Pre-Processing

Data Access

Data Security & Masking

Data Enrichment

Data Packaging

Data Connectors and Data Mashup

Vendor Capability Ratings

Average 83

Ease of Implementation

Breadth of Features

Quality of Features

Ease of Data Integration

Business Value Created

Vendor Support

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Ease of IT Administration

Also Featured in...

Machine Learning Platforms

Score 7.8

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Dataiku Reviews

mahender R.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2026

holistic platform for enterprise data science

Likeliness to Recommend

10 /10

What differentiates Dataiku from other similar products?

unified data science platform for both code and no code users.

What is your favorite aspect of this product?

enhances collaboration and transparency between data science teams.

What do you dislike most about this product?

licensing costs can be high especially for larger organizations.

What recommendations would you give to someone considering this product?

adopt it as the primary platform for enterprise level data science operations.

Pros

Helps Innovate
Reliable
Inspires Innovation
Respectful

Shreya S.

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

Validated Review

Verified Reviewer

Submitted Oct 2025

All in one tool for visualization and prediction

Likeliness to Recommend

10 /10

What differentiates Dataiku from other similar products?

It has a great UI which makes it easy to use even for the beginners and this platform has data preparation, machine learning, and deployment all in one platform

What is your favorite aspect of this product?

Machine learning tools are good and the support of this platform is really good

What do you dislike most about this product?

there is nothing to dislike just we can a few things add in this like could have better real time capabilities

What recommendations would you give to someone considering this product?

this is a great tool you can start with smaller projects and then scale up once you get used to it and yes the trial period a very good option to get a hands on

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Dataiku

What is Dataiku?

Company Details

Need Assistance?

Awards & Recognition

Dataiku Ratings

90 Likeliness to Recommend

2 Since last award

85 Plan to Renew

2 Since last award

81 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+97 Net Emotional Footprint

How much do users love Dataiku?

Pros

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

Message Model Defines the schema and structure of event or API data messages, enabling validation, parsing, and transformation of streaming data for analytics.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Data Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Intelligent Alerts and Notifications Ability to create, manage, send and receive notifications, enhancing efficiency and productivity.

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

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 & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

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

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

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

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.

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.

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.

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.

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.

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.

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.

Also Featured in...

Machine Learning Platforms

Dataiku Reviews

mahender R.

holistic platform for enterprise data science

Likeliness to Recommend

Pros

Shreya S.

All in one tool for visualization and prediction

Likeliness to Recommend

Pros

Rajdeep P.

Dataiku is easy to use and fantastic product .

Likeliness to Recommend

Pros

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Feature Ratings

Message Model

Metadata Management

Data Preparation Workflow

Record Deduplication

Intelligent Alerts and Notifications

Data Pre-Processing

Data Access

Data Security & Masking

Data Enrichment

Data Packaging

Data Connectors and Data Mashup

Vendor Capability Ratings

Ease of Implementation

Breadth of Features

Quality of Features

Ease of Data Integration

Business Value Created

Vendor Support

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Ease of IT Administration