Dataiku Customer Reviews 2024

Dataiku

7.9 /10

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.

Company Details

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Awards & Recognition

Dataiku won the following awards in the Machine Learning Platforms category

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5 Top Rated Capabilities

8 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Gold Medalist

2023

4 Top Rated Capabilities

3 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Gold Medalist

2022

4 Top Rated Capabilities

6 Top Rated Features

2022

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.

87 Likeliness to Recommend

95 Plan to Renew

70 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+94 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

4% Neutral

96% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 81

Openness and Flexibility

Data Exploration and Visualization

Data Pre-Processing

Data Ingestion

Pre-Packaged AI/ML Services

Algorithm Recommendation

Ensembling

Feature Engineering

Algorithm Diversity

Model Training

Model Tuning

Vendor Capability Ratings

Average 79

Usability and Intuitiveness

Vendor Support

Quality of Features

Ease of Data Integration

Availability and Quality of Training

Business Value Created

Breadth of Features

Ease of Customization

Ease of Implementation

Ease of IT Administration

Product Strategy and Rate of Improvement

Dataiku Reviews

Sehaj K.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Fantastic and Fabulous

Likeliness to Recommend

9 /10

What differentiates Dataiku from other similar products?

Dataiku stands out for its user-friendly interface, comprehensive support for the end-to-end data science workflow, and its ability to scale from small teams to large enterprises while offering advanced features like machine learning automation and deployment capabilities.

What do you dislike most about this product?

I dont have any dislike

What recommendations would you give to someone considering this product?

I would recommend thoroughly evaluating your organization's data needs and objectives, conducting a trial to assess how well Dataiku aligns with those requirements, and leveraging available resources such as demos, documentation, and customer support to maximize its potential.

Pros

Continually Improving Product
Trustworthy
Efficient Service
Inspires Innovation

Sandip S.

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

Validated Review

Verified Reviewer

Submitted May 2023

Dataiku is a backbone of data industry

Likeliness to Recommend

8 /10

What differentiates Dataiku from other similar products?

Your large data pipelines are made more manageable and readable with Dataiku. There are many built-in recipes that can be used to help you make your pipeline modular. It is unquestionably among the best tools for your systems.

What is your favorite aspect of this product?

I can work with unstructured data, which has a variety of schema records, as well as structured data, which has a standard schema, thanks to Dataiku DSS. Given that it is comparable to our SQL tables and customised SQL queries, it helps with dataset manipulation on a unique level. When we perform transformations on our datasets, it supports data files that are present in our application servers and Hadoop clusters and provides DSS recipes. With the Pandas library, Pig scripts, and Hive queries included, it can also run our Python scripts.

What do you dislike most about this product?

You can't always accomplish your goals with the assistance of recipes. Because of this, the pipeline must be entirely programmed in, let's say, a Python recipe, which again reduces its modularity. Less documentation is also accessible.

What recommendations would you give to someone considering this product?

It is kind of needed tool for dataops and data transformation into various dimensions. It is the best tool for cleaning and transforming data in accordance with various business needs.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Trustworthy

Donda M.

Role: Human Resources
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2022

Effective Machine Learning With Dataiku

Likeliness to Recommend

9 /10

What differentiates Dataiku from other similar products?

What makes Dataiku unique is that it offers data preparation for analytics besides being a great tool for business machine learning needs.

What is your favorite aspect of this product?

Using Dataiku is easy and the software comes with powerful machine learning features Makes data analytics easy

What do you dislike most about this product?

No complaints for the time I have used Dataiku. It is one of the best

What recommendations would you give to someone considering this product?

I recommend Dataiku for both analytics and machine learning as it offers best features.

Pros

Continually Improving Product
Performance Enhancing
Unique Features
Efficient Service

Dataiku

What is Dataiku?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

Dataiku Ratings

87 Likeliness to Recommend

95 Plan to Renew

70 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+94 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

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

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

Data Ingestion 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.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Ensembling 'Ability to combine ML models for best results.

Feature Engineering Ability to extract and build features from raw data.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Training Ability to train a model with a range of data sets that you provide.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

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

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.

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.

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.

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.

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.

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.

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 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.

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

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.

Dataiku Reviews

Sehaj K.

Fantastic and Fabulous

Likeliness to Recommend

Pros

Sandip S.

Dataiku is a backbone of data industry

Likeliness to Recommend

Pros

Donda M.

Effective Machine Learning With Dataiku

Likeliness to Recommend

Pros

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Feature Ratings

Openness and Flexibility

Data Exploration and Visualization

Data Pre-Processing

Data Ingestion

Pre-Packaged AI/ML Services

Algorithm Recommendation

Ensembling

Feature Engineering

Algorithm Diversity

Model Training

Model Tuning

Vendor Capability Ratings

Usability and Intuitiveness

Vendor Support

Quality of Features

Ease of Data Integration

Availability and Quality of Training

Business Value Created

Breadth of Features

Ease of Customization

Ease of Implementation

Ease of IT Administration

Product Strategy and Rate of Improvement