Introduction

LakeSail is a managed data-compute platform. You bring your AWS account and your data; LakeSail runs Spark and SQL workloads on top of it, without you having to operate the underlying clusters.

What you get

• Managed clusters in your cloud. LakeSail provisions Kubernetes clusters and Karpenter-driven compute inside a network it creates in your AWS account. Credentials never leave your account.
• Batch jobs. Reusable, versioned SQL or Python jobs that run on a schedule or on demand.
• Interactive sessions. Live Spark Connect endpoints that any compatible client (PySpark, Scala, Go, Rust) can attach to.
• Catalogs. Pointers to your existing data, AWS Glue, Iceberg REST, Unity, OneLake, or in-memory.
• Identity and access control. Members, teams, organization-wide roles, team-scoped roles, fine-grained policies, SSO, and MFA.
• Notifications. Channel and rule-based delivery to email, Slack, webhooks, PagerDuty, or Rootly when jobs fail.

Built on Sail (open source)

The query engine inside every LakeSail cluster is Sail, our open-source Spark Connect-compatible engine. If you want to run the engine yourself, the docs live at docs.lakesail.com/sail. LakeSail Platform builds on top of Sail by adding cluster lifecycle management, scheduling, identity, billing, and observability.

Where to go next

• New here? Start with the Quickstart to set up your first cluster end-to-end in 10–15 minutes.
• Want the mental model first? Concepts walks through how organizations, infrastructure, catalogs, and workloads fit together.
• Just looking for the API? Jump to the API Reference.