️ 🖼Tool name:
Dataiku
🔖 Tool categorization:
Integrated data science and artificial intelligence platform (Data Science + MLOps + Analytics).
️ ✏What does this tool offer?
Easily access and prepare data from different sources.
Build workflows visually or in code (Python, R, SQL).
Develop machine learning models using AutoML or full code, with the possibility of reuse and experimentation.
Integrate and deploy AI models as API services, and monitor performance and deviation.
Collaborate across multiple teams on a unified platform.
Run Generative AI within the platform.
Governance and security: Access control, version tracking, and transparency.
⭐ What do you actually offer based on user experience?
Make it easy for non-technical teams to participate in AI and machine learning projects with an easy-to-use visual interface.
Speeds up model execution time and ties development to code or no-code.
Help reduce errors and increase efficiency.
Some users point out that the licenses are too expensive, especially for large teams.
🤖 Does it include automation?
Yes, it includes automation:
Data Pipelines using Flows.
Deploying and running models in production environments.
Monitoring model performance over time (drift).
Automatically try out multiple models (AutoML).
💰 Pricing model:
🆓 F ree plan details:
Local Free Edition supporting up to 3 users.
14-daycloud trial with support for some full features.
💳 Paid plans details:
Plans are customized for organizations by number of users, size, and integration.
Pricing is not accurately described on the website, and you should reach out for a customized offer.
According to some sources, a license for some users costs around $4,000 per year per "Designer" and $500 per reader.
🧭 How to access the tool:
Visit Dataiku.com.
Sign up for a Free Edition or a 14-day free cloud trial.
Build a project, set up a data flow, train models, and deploy them.
Connect the platform to your data systems or cloud.
🔗 Link to the trial or official website:
Dataiku official