Simple, predictable pricing for your data foundation

Deploy a governed, AI-ready data layer inside your AWS account in weeks. No SaaS fees. No vendor lock-in. No custom platform build.

Foundation

$39,900 (One-Time)

Start with a governed data layer for a single team or use case

Start your pilot

What's included:

Up to 2 sources

Batch data ingestion

Limited data coverage

Table view explorer

RBAC access control

Iceberg table format

QuickSight dashboards API

Growth

$59,900 (One-Time)

Unify multiple systems and teams into a production-ready data layer

Go to production

Everything in Foundation, plus

10+ data sources

Batch and CDC pipelines

Unified multi-source data

Views and functions layer

Lake Formation governance

Curated analytics datasets

BI and API integrations

Business hours support

Foundation

$99,900 (One-Time)

Enable AI and real-time use cases on a governed data foundation

Talk to sales

Everything in Growth, plus

Unlimited data sources

CDC and streaming pipelines

Near real-time sync

Cross-domain data coverage

Semantic AI-ready datasets

Advanced lineage tracking

AI and ML activation

Dedicated TAM support

Compare all plan features

What you pay replaces months of engineering

Most teams don’t just pay for tools, they pay with time, engineering effort, and delayed insights. LakeStack replaces custom pipelines, fragmented tools, and manual data work with a single, governed data foundation deployed inside your AWS account.

See how it works

Own your data stack

Deployed inside your AWS account with full control over data, infrastructure, and access.

No SaaS pricing

Avoid usage-based platform fees and unpredictable cost scaling as your data grows.

Predictable costs

One-time platform setup with transparent AWS usage, no hidden platform charges.

Frequently asked questions

Is this just another migration project with a better pitch?

No. Migration moves data. LakeStack replaces the approach: fragile pipelines become self-healing ones, manual workflows become governed automation, deferred governance becomes structural controls. The result is a modernized foundation, not data in a new location.

Do we have to shut anything down to get started?

No. LakeStack connects to your existing source systems and builds the modernized layer alongside them. Your current tools and workflows keep running while we replace the foundation underneath.

What happens to our historical data?

It's ingested and structured into Apache Iceberg open table format on Amazon S3 from day one. Full historical availability, in a governed, queryable format, nothing is lost or left behind.

How do you handle governance without making it a separate project?

By making it the project. Lake Formation, KMS, CloudTrail, and Macie are deployed as structural components, not configured after the fact. Governance is live before your first dataset is ingested.

What does this actually cost?

LakeStack runs entirely on your existing AWS infrastructure. The subscription is $18,000 annually — replacing an ongoing custom pipeline maintenance cost that was already consuming far more than that in engineering time.