One lakehouse, every workload.
Kyyba pairs staffing depth with hands-on delivery experience on the Databricks Lakehouse Platform — helping teams consolidate scattered data infrastructure into one governed foundation for analytics and AI.
Lakehouse delivery, end to end.
From architecture and migration through the pipelines, governance, and models that run on top of it.
Lakehouse architecture — design and migration from legacy warehouses onto Databricks.
Data pipeline engineering — batch and streaming workloads, built to scale with the estate.
Unity Catalog governance — centralized data governance and access control across the entire lakehouse.
ML & AI model development — with MLOps built in from the start, not bolted on after.
Staffing augmentation — Databricks-experienced talent for long-running programs.
One governance layer for the whole lakehouse.
Kyyba implements Unity Catalog as the single governance plane across workspaces, clouds, and data types — so access control and lineage don't have to be rebuilt for every new project.
Fine-grained governance
- Row-, column-, and table-level permissions defined once and enforced consistently across every workspace.
- Attribute-based access policies that scale with the number of teams and datasets, not against them.
Full data lineage
- End-to-end lineage tracking from raw ingestion through every transformation, model, and dashboard downstream.
- Audit logging on every read and write, ready for compliance review without extra tooling.
Searchable data catalog
- A single searchable catalog across tables, files, ML models, and notebooks — with tagging and classification built in.
- Business and technical metadata kept together, so teams can find and trust data without asking around.
Secure data sharing
- Delta Sharing for secure, governed data exchange across teams, business units, and external partners.
- Shared data stays governed under the same catalog rules — no separate export process to secure.
Talk to our Databricks delivery team.
Tell us what's scattered across your current data stack — we'll show you what consolidating it looks like.