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Dataiku Streamlines End-to-End AI at Scale with Intuitive, Collaborative Workflows
What do you like best about the product?
Dataiku streamlines building, training, and deploying AI models at scale, offering end-to-end automation, seamless orchestration of compute resources, and collaborative pipelines that make generative AI projects faster and more reliable. It unifies the entire data workflow from preparation and analysis to model deployment, into a single, collaborative platform that’s surprisingly intuitive for both data scientists and business users.
What do you dislike about the product?
Full capabilities can be overwhelming for new users, and scaling extremely large generative AI models sometimes requires complex customization.
What problems is the product solving and how is that benefiting you?
Dataiku solves the problem of fragmented AI workflows by unifying data preparation, model training, and deployment in a single platform. This benefits me by accelerating generative AI projects, reducing infrastructure complexity, and enabling seamless collaboration across data engineers, scientists, and business teams. It ensures models are production-ready faster while maintaining scalability and reliability.
A Unified Platform That Bridges Data Experts and Business Teams Seamlessly
What do you like best about the product?
Its greatest strength is enabling true collaboration between data experts and business teams on a single platform. It seamlessly bridges technical work like coding and ML engineering with visual and no-code interfaces. This breaks down silos, accelerates project delivery and ensures AI solutions are built with crucial business context, making them more impactful and sustainable.
What do you dislike about the product?
For smaller teams or simpler projects, Dataiku will be premium. The platform's extensive features come with inherent complexity, which can lead to a steeper learning curve. Its pricing model is often seen as enterprise-focused, potentially making it less accessible for startups or individual users who don't need its full collaborative scale.
What problems is the product solving and how is that benefiting you?
Dataiku solves the critical challenges of fragmented data science workflows. It provides a unified, collaborative platform that connects data preparation, experimentation and deployment into one governed environment. This directly benefits us by drastically reducing project lead times, improving model governance and reproducibility and enabling both technical and business users to contribute effectively to data-driven outcomes.
End-to-End Data Science Platform That Makes Collaboration Easy
What do you like best about the product?
What I like best about Dataiku is its end-to-end data science and machine learning platform that brings data preparation, analysis, model building, and deployment into a single environment. The visual workflows combined with code-based options make it accessible for both technical and non-technical users. It also supports strong collaboration between data scientists, analysts, and business teams, which helps speed up model development and improve decision-making.
What do you dislike about the product?
While Dataiku is a powerful platform, it can feel complex for first-time users because of its extensive feature set. The initial setup and learning curve may take time, especially for non-technical users. In some cases, performance can slow down when handling very large datasets, and the pricing structure may not be ideal for smaller teams or limited use cases.
What problems is the product solving and how is that benefiting you?
It's solves the challenge of managing the entire data science and machine learning lifecycle in one platform. It brings together data preparation, analysis, model development, deployment, and monitoring, reducing the need for multiple disconnected tools. This benefits me by improving collaboration between teams, speeding up model development, and making it easier to turn data into actionable insights while maintaining consistency and governance across projects.
great analytics and data science tool!
What do you like best about the product?
The software is very easy to use and has great learning materials
What do you dislike about the product?
Some of the user interfaces are a bit unintuitive, but can quickly be learned.
What problems is the product solving and how is that benefiting you?
Exploratory analytics, streamlining workflows and automating manual efforts
A Complete and Intuitive Platform for Data Science Projects
What do you like best about the product?
Dataiku stands out for its ease of use — the drag-and-drop interface combined with the option to code when necessary makes it accessible to a wide range of users. Implementation was smooth and well-supported by the customer success team. I use Dataiku frequently because it offers a vast number of features, from data preparation to model deployment. Integration with other tools like databases, cloud services, and APIs is straightforward, making the platform even more powerful for end-to-end projects.
What do you dislike about the product?
While overall the platform is excellent, some advanced settings and options could be a bit overwhelming for new users. Additionally, the pricing structure can be a limiting factor for smaller companies or teams.
What problems is the product solving and how is that benefiting you?
Dataiku is helping to solve the complexity of managing the full data science workflow, from data ingestion and preparation to model development and deployment. It centralizes collaboration between data scientists, analysts, and business users, ensuring that projects move faster and with better governance. The platform also reduces dependency on purely manual coding, making advanced analytics more accessible. This is benefiting me by significantly increasing productivity, improving project visibility, and enabling faster decision-making based on reliable, well-structured data pipelines.
Great one-stop shop for all Data Science needs
What do you like best about the product?
The plethora of data plug-in sources, tons of options for ready-made recipes (for EDAs, data engineering, & quick-and-dirty analyses). Along with that, we have code-based recipes too to write our own codes. And cherry on top is the collaborative environment without us having to explicitly handle any of that!
What do you dislike about the product?
Wish there was more customization available to some of the visual recipes. Another thing is version control - although Dataiku does handle version control, it is very non-intuitive and difficult to go back to a previous version, or even understand the changes made between different versions. We need to have commit comments and other git-like features for that to work better.
What problems is the product solving and how is that benefiting you?
Dataiku is solving the biggest problem of providing us with computing bandwidth to develop, test, and deploy complex ML-models in a collaborative environment. It is providing us with an end-to-end solution for all our project related needs - right from bringing in data, cleaning and processing it, developing a model, deploying it, and even visualizing results.
On the GenAI front, my team and I have been able to spin out multiple pilots and MVPs because of Dataiku's Streamlit + VS Code integration - saving us critical time in deployment and integration ourselves.
On the GenAI front, my team and I have been able to spin out multiple pilots and MVPs because of Dataiku's Streamlit + VS Code integration - saving us critical time in deployment and integration ourselves.
Agentic AI
What do you like best about the product?
Great use cases of Agentic AI were demostrated
What do you dislike about the product?
Nothing I can think of, I liked everything about the conference
What problems is the product solving and how is that benefiting you?
Troubleshooting becomes a lot easier when you have a visual interface
It's automation feature makes repetitive tasks seem less painful
It's automation feature makes repetitive tasks seem less painful
Best AI/ML Engine
What do you like best about the product?
Best ai ml engine for getting your data from silver to gold, building and deploying your projects, and all in one centralized platform.
What do you dislike about the product?
Nothing, I love all the features of Dataiku
What problems is the product solving and how is that benefiting you?
Big into the pharma space, great for forecasting sales and goal targets or even building analytical webapps!
Enterprise ready data wrangler
What do you like best about the product?
Share analytic workflows with others in the firm
What do you dislike about the product?
Not opinionated enough to start a fresher in the organization
What problems is the product solving and how is that benefiting you?
Marketing and risk identification
Great data exploration tool
What do you like best about the product?
Simplicity and quick data exploration and analytics
What do you dislike about the product?
Needed training documents for quickly onboarding new users
What problems is the product solving and how is that benefiting you?
Marketing
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