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
Mohamed K.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted Oct 2024
"Easy to use, full features, but a bit pricey."
Likeliness to Recommend
What differentiates Dataiku from other similar products?
Utilizing very diverse Open source components.
What is your favorite aspect of this product?
Both Customization and Visual Recipes.
What do you dislike most about this product?
A bit pricey.
What recommendations would you give to someone considering this product?
Use the free version first.
Pros
- Caring
- Helps Innovate
- Continually Improving Product
- Reliable
Sehaj K.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2024
Fantastic and Fabulous
Likeliness to Recommend
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
Submitted May 2023
Dataiku is a backbone of data industry
Likeliness to Recommend
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