Run a governed data lakehouse without running a platform team.
We deploy and operate Spark, Airflow, Kerberos, Ranger, and DataHub as one managed service — enterprise capability, open-source economics, on infrastructure you control.
The same four walls stop every growing data team
Costs that outgrow the value
Usage-based platforms bill for every query and every seat. The bill grows faster than the insight does.
Compliance retrofitted, not designed in
Auditors ask for lineage, access control, and encryption after the system is already built.
Talent you can't hire, or keep
Engineers fluent in Spark, Kerberos, and Ranger are scarce, and expensive to retain once found.
Data scattered across five tools
Spreadsheets, siloed warehouses, and dashboards that don't agree on a single source of truth.
One managed stack, eight capabilities
Every component is open source. We handle the integration, hardening, and day-two operation — you get the outcome without owning the toolchain. See the full platform →
AI-agent-ready notebooks
Collaborative notebooks your team and their AI copilots can query via MCP.
DetailsFrom kickoff to production in five steps
Built on a proven reference architecture, not reinvented per client — so timelines stay predictable.
- 1
Discover
We assess your data, workloads, and compliance requirements.
- 2
Design
We architect the stack for your scale, environment, and regulatory needs.
- 3
Deploy & harden
Spark, Kerberos, Ranger, encryption, Airflow, and DataHub go live, hardened.
- 4
Integrate
We connect existing BI tools, notebooks, and upstream pipelines.
- 5
Support & scale
Ongoing monitoring, patching, policy management, and capacity planning.
Why teams choose this over the alternatives
| Criteria | Managed SaaS (Databricks / Snowflake) | DIY in-house build | This approach |
|---|---|---|---|
| Cost at scale | Scales with usage — bills grow indefinitely | High upfront hiring & build cost | Fixed project + predictable retainer |
| Time to value | Fast setup, slow customization | Months to build a capable platform team | Weeks, via a proven reference architecture |
| Data control & sovereignty | Data lives inside the vendor's control plane | Full control, full operational burden | Full control, none of the operational burden |
| Security & governance | Enterprise add-ons cost extra | Entirely dependent on hire quality | Kerberos, Ranger, encryption & DataHub cataloging, built in |
| AI-agent readiness | Often locked to the vendor's own AI tooling | Rarely prioritized early on | MCP-enabled notebooks out of the box |
Let's scope your lakehouse
Three steps to a fixed-scope proposal — no commitment required to talk.