What is Dataiku?
Dataiku is an advanced enterprise AI platform that enables organizations to transition from disconnected AI initiatives to a unified, scalable, and governed AI ecosystem. It integrates people, data, and technology into a single collaborative environment where both business users and data experts can contribute to AI development. The platform supports the full lifecycle of AI projects, including data preparation, model building, deployment, and ongoing monitoring. Through powerful orchestration, Dataiku connects data pipelines, applications, and machine learning models to create seamless, automated workflows. Its governance framework ensures that all AI activities are transparent, compliant, and aligned with organizational standards, while also managing cost and risk effectively. Users can build and deploy AI agents grounded in real business data, enabling more accurate and impactful outcomes. The platform helps organizations replace manual processes and spreadsheets with intelligent, AI-driven analytics systems. It also facilitates the reuse and scaling of machine learning models across teams, breaking down silos and improving collaboration. Dataiku supports analytics modernization without disrupting existing systems, allowing companies to evolve at their own pace. With adoption across industries like healthcare, finance, and manufacturing, it has demonstrated measurable benefits such as time savings and revenue generation. Its flexible architecture allows enterprises to adapt quickly to changing business needs and emerging AI trends. Ultimately, Dataiku empowers organizations to operationalize AI at scale and drive sustained business value through intelligent decision-making.
Pricing
Company Facts
Product Details
Product Details
Dataiku Categories and Features
Machine Learning Software
Data Analysis Software
Artificial Intelligence Software
More Dataiku Categories
Dataiku Customer Reviews
Write a Review-
Would you Recommend to Others?1 2 3 4 5 6 7 8 9 10
Dataiku - Review
Date: Jun 17 2020SummaryI have recently started using Dataiku for data science projects, the tool is very good. Supports a lot of data sources, and various programming languages. I have used the inbuilt jupyter notes in Dataiku. You can set optimizations as per requirement like you can optimize F1 score or recall or AUC which is a very interesting feature and can be put to great use.
On an overall level, it is a very good tool for data science projects.Positive(+) Integration with various data sources like snowflake, s3, and many other platforms.
(+) You can code in various languages like python, R, SQL.
(+) Easy to use and adapt and has a very neat interface.
(+) You can create a flowchart of your entire project in a pictorial representation.
(+) Multiple collaborators can work at a time on a single project.Negative(-) Limited representation (Visualization) capabilities.
Read More...
(-) Its inability to compile the entire code into one document.
(-) Reloading of code is an issue (UI Problem).
- Previous
- You're on page 1
- Next