Your data belongs in your AWS account. Keep it there.
Deploy a complete, governed data foundation inside your own AWS account, not a SaaS layer sitting outside it.
- No data leaves your environment
- Governance is live from day one
- Production-ready in under 4 weeks
The problem with typical data architectures
The path to a data-driven organization shouldn’t be a multi-year construction project or a security risk.
What "AWS Native" actually means
We shift the category from third-party hosting to internal ownership. This isn't just integrated with AWS; it's built on AWS.
The 6-month build you’re planning? We just deployed it in 15 days.
LakeStack isn't a custom build or a SaaS overlay; it is a pre-wired AWS architecture deployed as code.
Connect ERP, SaaS, databases, and APIs natively.
High-performance open formats. Zero vendor lock-in.
Access control, audit, and classification from day one.
Automated pipelines and automated data cataloging.
Unified querying and dashboards on your governed data.
Ready for Generative AI and ML from the moment of deployment.
Why AWS native matters to the business
Security isn't a feature; it's structural. Because data never leaves your VPC, compliance becomes a default state, not a procedure.
Stop paying for external SaaS licenses. Activate your existing EDP or PPA spend and benefit from a predictable, transparent cost model.
We bypass the "infrastructure backlog." Your team focuses on delivering insights, while we handle the foundation in weeks, not months.
Your choice, AWS Native or traditional approaches
Frequently asked questions
Yes. Every component is deployed inside your AWS account. Data never passes through a third-party SaaS environment, and all access is governed by your policies and keys.
LakeStack removes the need to design and build the architecture from scratch. Instead of spending months wiring ingestion, governance, and analytics, you get a pre-built, production-ready system deployed in weeks.
Yes. LakeStack runs entirely on AWS services like S3, Glue, Redshift, Athena, and Lake Formation. This means your existing AWS commitments are fully utilized.
No. Data is stored in open formats like Apache Iceberg, so it can be accessed by any compatible engine. You are not locked into a proprietary storage or compute layer.
Governance is built into the architecture from day one using Lake Formation, CloudTrail, and related AWS services. Access control, audit logs, and data classification are not separate projects.
Most deployments reach production in under four weeks, compared to several months for a typical internal AWS build.
Yes. LakeStack connects to ERP systems, databases, SaaS tools, and APIs using pre-built ingestion pipelines and connectors.
You own the entire environment. Your team operates it within your AWS account, with optional support for optimization and updates.
No. LakeStack becomes the governed data foundation underneath your existing analytics and BI tools, making them more reliable and consistent.
The architecture is designed to make governed data immediately usable by SageMaker and Bedrock, so AI projects are not blocked by data preparation.
See what your AWS architecture should look like
A working session with a LakeStack architect to map your current environment, identify gaps, and show what a production-ready AWS native architecture looks like for your setup.
