Databricks
Lakehouse to live application.
TechFabric is a Databricks partner with 80 Databricks-certified engineers, and Databricks is where we have chosen to go deep. We build data platforms, governed AI systems, and native Databricks applications on Unity Catalog, Lakeflow, Databricks Apps, AI Gateway, and Genie. We run our own products on the same stack.
80
Databricks-certified engineers on the bench today. That is the count as it stands. Certification proves the floor. Fifteen years of average production experience is what decides whether the thing still works in month six.
Three ways to start, each with a fixed shape.
Each one has a length, a price and a written deliverable agreed before it starts. You get to judge how we work on something small enough to walk away from.
Two weeks
Health Check
Teams already on Databricks whose bill is growing faster than the work
Book a workspace teardownSix weeks
Lakehouse Launchpad
Teams modernising off a legacy warehouse, or stalled after a pilot
Scope a LaunchpadTwo to four weeks
Genie Accuracy
Teams whose natural-language analytics lost the room
Book a Genie accuracy sessionAccelerators doing the heavy lifting.
We run all of this software ourselves. Every Databricks programme repeats the same few problems, and these are what we stopped rebuilding: the migration, the agent runtime, the evaluation harness.
Fabric Airlift
A governed migration factory for moving warehouse and ETL estates to Databricks.
Fabric Runway
A governed delivery accelerator for Databricks Apps and GenAI workloads.
Fabric Radar
Governed mission control for running data and ML workloads on Databricks.
Fabric Experiments
A Databricks adoption accelerator for quality engineering, experimentation, and governed delivery.
FAQ
Questions we get asked about Databricks
How many Databricks-certified engineers does TechFabric have?
Eighty, as things stand today, sitting inside a team of 115+ across Phoenix, Amsterdam, Dnipro and Hyderabad. Certification only proves the floor. What matters more is that the same engineers have shipped production software for fifteen years on average.
Do we have to already be on Databricks to work with you?
No. Some engagements start before the first workspace exists, some rescue a stalled pilot, and some are a migration off a warehouse that has stopped paying for itself. Databricks is our specialty, and you do not have to be on it already. We also build on Azure, AWS, GCP and Cloudflare.
What makes you different from a data consultancy?
We are a software company that went deep on Databricks rather than a data practice that added application work later. Most partners stop at the pipeline and the dashboard. We build what comes after: the application on top, the durable API underneath, the agent that survives production. That is ordinary work here.
Which Databricks surfaces do you work with?
Unity Catalog, Lakeflow, Delta, Databricks SQL, Databricks Apps, Model Serving, AI Gateway, Genie, Lakebase and Asset Bundles. Our accelerators are built on those same surfaces, so what we recommend is what we run.
Tell us what is stuck.
A technical conversation with a senior engineer. If a two-week health check is the honest answer, we will say so.