Coding in Dataiku
Coding and programming a top choice and first-class citizen on the platform.
Everything you need to code at your fingertips
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Write code with the most popular languages for data science and machine learning libraries.
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Code your way using either the embedded code editor, Jupyter notebooks, or your favorite IDE including VS Code, PyCharm, or RStudio.
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Version your work, collaborate with others, and leverage any Git hosted service.
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Use the full-fledged API to manage models, pipelines, automation, and more.
Run your code with infinite compute resources
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Provision on-premise and cloud-based computing resources in one-click.
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Unleash the computational power of GPUs to train and score heavy Deep Learning models.
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Scale job execution and ML model training with Spark &Kubernetes clusters.
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Push down computations to external processing engines or cloud data warehouses.
Effortless deployments and improved DevOps efficiency
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Orchestrate data science pipelines and automate monitoring.
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Deploy your models as real-time containerized APIs with native queuing, parallelism, and load balancing.
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Monitor and compare your deployments and update or rollback at any time.
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Export your models to allow tight integration with complex applications.
Showcase your insights and deliver impact
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Build custom visualizations using Bokeh, Shiny, or any best-in-class JS libraries, or generate high-quality reports with R Markdown.
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Deploy advanced webapps with hosted and scalable backends based on Kubernetes.
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Package your work into shared libraries, plugins and applications to ensure reusability by other team members.
