OpenLake
An embedded team.
A playbook that's already worked.
Data platform projects fail on integration, security review, and hand-off - not on technology. OpenLake attacks all three with repeatable Infrastructure as Code and a delivery plan that runs its tracks concurrently, not one after another.
Weeks to production, not quarters
Because the platform is code, most of the schedule risk is already retired before we start. Security accreditation begins on day one and runs in parallel with the build - it never becomes the last-minute gate that stalls launch.
The same playbooks that deploy your first environment deploy your second and third. Dev, prod, a new region, a second business unit - each is a parameter file, not a project.
Scope your deployment- Assess1 week
Scope data sources, users, and workloads. Establish the security baseline and success criteria with your stakeholders.
- Pilot2-4 weeks
Provision Infrastructure as Code and deploy core services - network, storage, catalogs, query engine, and the OpenLake app - into your account.
- Validate
End-to-end user acceptance testing and performance checks against your real data and your real users.
- Scale2-4 weeks
Production load, full observability, cost controls, and operational hardening.
- Train
Structured knowledge transfer. Your team leaves able to operate, extend, and re-deploy the platform without us.
What every engagement is built on
Repeatable IaC
Every resource is a versioned template. Zero configuration drift, instant disaster recovery, and environments that clone on demand.
Embedded Team
Our engineers work inside your organization as a quick-reaction force - tackling high-priority problems immediately, not through a ticket queue.
Security First
Built-in controls and governance from day one accelerate accreditation and reduce risk - security is a design input, not a review gate.
Observability
Centralized logs, metrics, health dashboards, and alerting across every service - shipped with the platform, not added later.
User Enablement
Onboarding guides, pre-built pipeline examples, and helper libraries so analysts are productive in days - plus formal knowledge transfer.
Speed to Value
Since 2020 we've deployed as a rapid-response capability for urgent, high-priority initiatives - fast-track pipelines, applications, and infrastructure when the timeline is not negotiable.
The ROI case writes itself
Cost predictability
No per-seat licenses, no consumption credits. Licensing cost stays flat while you scale compute and storage - and idle resources stop on schedule.
Customer data ownership
Everything runs under your cloud environment and your controls. Full ownership of the data, the infrastructure, and the code - forever.
Time to insight
Self-service pipelines and querying collapse the distance between "we have the data" and "we have the answer" - without an engineering ticket in between.