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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Real user data aggregated to summarize the product performance and customer experience.
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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.
85 Likeliness to Recommend
2
Since last award
96 Plan to Renew
1
Since last award
73 Satisfaction of Cost Relative to Value
3
Since last award
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.
+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?
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Pre-Processing
Openness and Flexibility
Data Exploration and Visualization
Ensembling
Feature Engineering
Data Ingestion
Algorithm Recommendation
Model Training
Pre-Packaged AI/ML Services
Model Tuning
Algorithm Diversity
Vendor Capability Ratings
Vendor Support
Ease of Data Integration
Usability and Intuitiveness
Quality of Features
Breadth of Features
Business Value Created
Availability and Quality of Training
Ease of IT Administration
Ease of Customization
Ease of Implementation
Product Strategy and Rate of Improvement
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Dataiku Reviews
Mansi A.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Oct 2024
Fantastic Product , Love the capabilities!
Likeliness to Recommend
What differentiates Dataiku from other similar products?
Dataiku simplifies the management and readability of complex data pipelines by offering a range of built-in recipes that enable modular pipeline development. It stands out as one of the most effective tools for optimising your systems.
What is your favorite aspect of this product?
The product enables seamless collaboration among multiple users, allowing each to focus on their respective modules. Additionally, Dataiku DSS caters to both coders and non-coders, ensuring that the implementation of machine learning algorithms is accessible to all, not just those with coding expertise.
What do you dislike most about this product?
nothing, I don't dislike anything to be honest
What recommendations would you give to someone considering this product?
A end to end tool , its a full Jam Pack data science tool Definitely consider it!
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Trustworthy
Akshay K.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Great No code/Lowcode Big Data and ML solution
Likeliness to Recommend
What differentiates Dataiku from other similar products?
Great offerings in term of No Code/Low Code teams where data engineering teams inheritly missing. End users can create quick data pipleines and train models with limited knowledge too.
What is your favorite aspect of this product?
Abilty to write code ovr the drag and drop no code functionality and freedom of choosing the big data tecnologies
What do you dislike most about this product?
Documnetation with more best practices and how it can be evolved in a Enterprise data model with CI/CD implementation
What recommendations would you give to someone considering this product?
Consider if you don't have a strong data engineering team and Data scientist teams.
Pros
- Reliable
- Trustworthy
- Caring
- Respectful
Bashir A.
- Role: Consultant
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Very easy to use by non-technical individuals
Likeliness to Recommend
What differentiates Dataiku from other similar products?
Its very very easy to use. I picked up Dataiku really quickly from no experience at all. And also the fact its super collaborative. You can have data scientists, engineers, analysts all working together in the same product/project.
What is your favorite aspect of this product?
The fact that you can set up almost anything out of the box such as ML models, python recipes, data cleaning recipes, test projects etc etc. The marketplace is a very useful place as well for various plugins that suits my needs
What do you dislike most about this product?
Nothing specific about the product, but in the industry, most organisations adopt the cloud for the very purpose of what Dataiku provides. So in my opinion, a skillset in cloud technologies is much more beneficial for your career from an engineering perspective (not analyst perspective)
What recommendations would you give to someone considering this product?
1. It would be a decent product to use if your team has a mix of engineers, scientists, analysts as it caters for all technical levels. 2. Select the correct pricing tier based on team size otherwise it'll get costly 3. If AI governance and compliance is important to you, make sure to clean and preprocess your data properly, and you can even leverage the fairness plugin
Pros
- Continually Improving Product
- Acts with Integrity
- Helps Innovate
- Performance Enhancing