Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.Learn More
"Our Smart Data projects gather three key components: data, people, and technology. Dataiku DSS lets us quickly reach concrete goals in our data projects so that we can focus on added value tasks."
Use notebooks (R, Python, Scala, Hive, Pig, Spark, etc.) or a customizable drag-and-drop visual interface at any step of the predictive dataflow prototyping process – from wrangling to analysis to modeling.Learn More
"Whether you use DSS for basic data management or for advanced predictive analytics, the tool is complete and easy to use."
Profile the data visually at every step of the analysis.
Interactively explore and chart your data using 20+ charts.
Prepare, enrich, blend, and clean data using 80+ built-in functions.
"Dataiku DSS slashed the amount of time it took to analyze our data, produce a working model, and deploy a solution, all while improving the accuracy of our predictions."
Leverage Machine Learning technologies (Scikit-Learn, MLlib, XGboost, H2O etc.) in a visual UI.
Build & optimize models in Python or R and integrate any external ML library through code APIs (Dato, Skytree, etc.).
Get instant visual & statistical feedback on model performance.
"We can now predict the future actions of our customers with a high degree of accuracy and act accordingly."
Bundle your whole workflow as a single deployable package for real-time predictions with our REST API.
Monitor your live data in-production with dashboard and data validation policies (e.g., model metrics, drift, data consistency, etc.)
If something’s off, get notified and easily roll back to a previous version
"Thanks to Dataiku DSS, we've internalized the whole process from raw data to innovative customer-facing products and solutions."
“Dataiku DSS is a tool for all members of the data team from data engineer to data analyst. With the help of DSS, we have created a structure that allows us to empower teams of analysts. One of our primary goals was that iterations no longer be dependent on technicians. With DSS, we’ve succeeded.”
“Like all companies, customer loyalty is one of our main focuses. To answer this challenge, a Big Data approach and exploiting DSS’s functionalities has proven successful. We’ve already begun to generalize this approach to our usage data, where quality and precision are essential, and where DSS is perfectly adapted.”
“As a small team serving a global company, Dataiku allows us to work efficiently on daily projects, including: building big data pipelines from multiple sources; ingesting, cleaning, storing and analyzing high volumes of robot data; rapid prototyping and deployment of machine learning models for customer-facing products; and automation of data process and model-building jobs.”
“Before DSS, we'd externalise the whole research phase that leads to concrete solutions. Our work mainly consisted of descriptive analytics on past data. With DSS, we have internalised the design & deployment of our data solutions. We can now predict the future actions of our customers and act accordingly.”
“Voyage Privé is determined to always make its customers’ lives easier when it comes to travel. To answer this challenge, Dataiku DSS gives us the power to develop a machine learning approach that offers each of our customers a customized selection. Next steps? Implementing more external datasets to refine our scoring.”