HALCROW + DATABRICKS
Databricks, built to ship faster and see further
We help you turn Databricks into a launchpad for real outcomes—shipping ML features, fixing data pipelines, and giving every team the visibility they need to deliver outstanding work.
This isn’t just your business.
It’s your legacy.
We’ve got the credentials—and the experience to back them
Our team includes engineers and data specialists fluent in Spark, Delta Lake, and MLflow—with real-world experience building ML features, streaming pipelines, and shared platforms across product, ops, and analytics teams.
Expertise & Certifications
10
Certifications
Customers love Halcrow
Common misconceptions
The difference between using it and using it well
Databricks isn't just a data tool—it’s a platform for delivering business-critical systems.
VS
This is how Halcrow does Databricks
We don’t just clean up tables or tune queries—we build data systems that support product launches, operational decisions, and fast-moving teams.
We embed with your product, data, and ops leads—not just data scientists
We build pipelines that deliver real-time insight and production features
We reduce rework by designing reusable, documented ingestion layers
We use orchestration, testing, and monitoring from day one—no duct tape
We optimise for outcomes: faster launches, fewer surprises, better decisions
We help align ML, analytics, and data engineering into one delivery engine
What we build in Databricks
What happens when Databricks works like part of your team
We help fast-moving companies turn Databricks into a core engine for shipping, scaling, and decision-making.
Results
Delivered production ML feature in 21 days using Delta Lake and MLflow
Results
Reduced pipeline duplication by 70% across ML and analytics teams
Results
Improved data freshness by 3x with streaming pipeline orchestration
Why Databricks is a good choice for scaling companies
Why work with Halcrow
Relevant applications
Where else we can help if Databricks is part of your stack.
