PricingHardware rates. No markups.

Pay for compute.
Not platform markup.

Move the sliders. See your number. Decide.
No sales call required.

No minimum spend or contract BYOC: your cloud account, your data No surprise billing, ever Zero lines of code to rewrite
Estimated Annual Savings
$797,400
compute + engineering · per year
Current Spark cost
$135,000/mo
LakeSail cost
$71,550/mo
Migration cost
$0
Adjust to your environment
Monthly cloud compute bill
$0$500K
% spend on managed Spark
5%100%
Eng hrs/month on JVM tuning
0 hrs200 hrs
Conservatively 1/2 of Derived TPC-H; engineering hours valued at $150/hr.
Monthly saved
$63,450
Eng reclaimed
$3,000/mo
Code rewrites
0 lines
Query speed
~4x faster
Plans

Start free. Scale when it counts.

Start free, upgrade when you're ready. No lock-in at any tier.

Open Source

Community

Free

Full engine, self-hosted. Pay only what your cloud charges.

Best for engineers evaluating or prototyping
# one-line install
pip install pysail
# swap your Spark remote — done
remote("sc://localhost:50051")
What's included
  • Full Rust-native engine, drop-in Spark Connect API, no rewrites
  • Delta Lake & Iceberg support, no JVM required
  • Apache 2.0 · community Slack & GitHub
Get started in 5 min →
Fully open source
Talk to Sales

Enterprise

Custom

Custom pricing, dedicated support, and white-glove migration for large deployments.

Best for 100+ node managed Spark deployments
Everything in Managed, plus
  • Dedicated support with SLA
  • Enterprise SSO (SAML, OIDC) and RBAC
  • Custom licensing models
  • On-premises deployment available Run LakeSail inside your own infrastructure with white-glove service and support.
Talk to us →
Typically responds same business day
Pricing Comparison

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.

Pricing factor
LakeSailManaged
Databricks
AWS Premium
EMR + Spark
Self-managed
Billing unitWhat you actually pay per compute hour
EC2 hours
DBUs (opaque)
EC2 + ops
Platform markup on cloud costMultiplier on top of EC2
Low flat fee
Unknown
Ops overhead
Surprise billing risk
None
High
Low
Migration costCode changes required
0 rewrites
Low — some
High — infra rebuild
JVM tuning burden eliminated
Yes
Reduced
Full burden
BYOC, data stays in your account
Yes
No
Yes
Native Python + AI agent layerNo JVM bridge
Native
Bolted on
No
Total cost vs baseline
Fraction of the cost
Baseline
Similar cost, high ops burden
Frequently Asked Questions

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.

Yes. LakeSail is available on AWS Marketplace, so you can subscribe with your existing AWS account and pay through your AWS bill. Your AWS hardware usage and the LakeSail platform fee show up together on that same bill, so there is nothing separate to reconcile. Pricing is identical to buying direct, and marketplace spend counts toward your AWS commitments such as an EDP. View our AWS Marketplace listing. For annual commitments or custom terms, contact us about a private offer.

Yes. On-premises is a fully supported deployment, and we are flexible about how it fits your environment. LakeSail runs within your own infrastructure, so your data stays under your control. Our team works directly with yours to tailor the deployment, backed by an enterprise agreement and dedicated support. Contact us to talk through your requirements.

Open source is always free. Managed platform customers get a 14-day free trial. No LakeSail fees. Just your hardware. After that, $0.01 per vCPU-hour and $0.002 per GiB-hour will be applied to your compute usage. Your access to the platform stays open even after the trial ends. Run your workloads, see your savings, then decide. For custom enterprise setups or migrations we offer flexible enterprise support options and white glove service. Please reach out to us here.

See your savings before you switch.

Run your workloads, benchmark them on LakeSail, and see the numbers for yourself. No commitment required.