Pay for compute.
Not platform markup.
Move the sliders. See your number. Decide.
No sales call required.
Start free. Scale when it counts.
Start free, upgrade when you're ready. No lock-in at any tier.
Community
Full engine, self-hosted. Pay only what your cloud charges.
- Full Rust-native engine, drop-in Spark Connect API, no rewrites
- Delta Lake & Iceberg support, no JVM required
- Apache 2.0 · community Slack & GitHub
Managed
+ your cloud compute cost, predictable and transparent
LakeSail in your AWS VPC. We run the cluster, you own the data.
- Fully managed in your AWS VPC. We run it, you own it
- Autoscaling, job scheduling, and real-time cost dashboard
- Slack/email support, 24h SLA
Enterprise
Custom pricing, dedicated support, and white-glove migration for large deployments.
- Dedicated support with SLA
- Enterprise SSO (SAML, OIDC) and RBAC
- Custom licensing models
How LakeSail pricing compares
Databricks charges a proprietary markup called DBUs on top of your cloud bill at a rate they set. The rows below are where that matters most.
Things people ask before they switch.
Most managed Spark platforms add a proprietary usage unit on top of your cloud bill, at a rate they set and can change. That markup can range from 2 to 4x your raw compute cost, and it rarely shows up clearly in your bill. LakeSail charges transparently for compute resources directly at hardware rates, with no multiplier.
Your data files stay in your AWS account. LakeSail provisions EKS clusters and S3 workspace buckets into your VPC; query results and Glue catalogs live in S3 buckets you own. To manage that infrastructure, LakeSail's control plane assumes a scoped IAM role in your account (limited to LakeSail resources) and reads CloudWatch metrics for the cluster dashboard. Job metadata, cluster configuration, and infrastructure state are stored in LakeSail's control plane, not your data files or query results. You can revoke access at any time by deleting the CloudFormation stack.
For most teams: one config line. LakeSail is Spark Connect compatible. Swap sc://lakesail.your-account.aws as the remote URL and your existing Spark Connect code runs unchanged. Zero rewrites. For edge cases, the team typically ships support in the very next Sail release. Despite the easy switch, most teams migrate incrementally at a pace their company can handle, which we agree is a wise approach.
Cluster provisioning, autoscaling, monitoring, the engine license, job scheduling, cost dashboard, and Slack/email support. You pay EC2 to AWS directly; the platform fee goes to LakeSail.
Open source is always free. Managed platform customers get a 30-day trial. Run your workloads. See your savings. Decide. For custom migrations we offer flexible enterprise support options and white glove service. Please reach out to us here.
See your savings before you switch.
30 minutes. A benchmark against your existing Spark workloads. No commitment required.