Learn more: Interact with Complex Databases with Natural Language to SQL
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Our Job system maintains consistency between development and execution by using the same environment configurations as Sessions. Opt for Immediate Jobs or Scheduled Jobs with Cron expressions, and enjoy compatibility with tools like Airflow and Prefect for enhanced control.
Leverage our Services for seamless deployment of custom long-running programs and diverse integrations. Effortlessly publish data to S3 buckets, host models on Nvidia Triton, and present dashboards in Apache Superset, minimizing configuration and maintenance for your data scientists.
Pre-configured development environments integrated with industry favorite tools to easily access to nodes, GPU and CPU.
Initiate a Dask, Spark, or Ray cluster customized for your task within seconds directly from Jupyter, with idle compute nodes automatically managed by an advanced garbage collection system.
Train PyTorch, TensorFlow, JAX, Scikit-Learn and other models on CPUs and GPUs. Easily serve the results as auto-scalable API endpoints.
Accelerate your data project’s speed to production from days to seconds. No matter how often you’d like your pipeline to run, it only takes a few button clicks to set up. Deploying at scale has never been easier.
Create beautiful interactive UIs right from inside Jupyter or VSCode with built-in Streamlit, NodeJS and Flask integrations allowing your data teams to showcase their work without needing help from frontend developers.
A comprehensive suite of monitoring tools of dashboards and alerts to help you effortlessly keep a watchful eye on all your data initiatives to help you optimize resource usage.
Shakudo Kubernetes management offers the fastest way to develop and deploy cloud-native applications, with built-in code-to-cloud pipelines. Our solution allows you to focus on your product and leave the cluster management to us.
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