Delta Lake
Makes changes to your data safe and reversible, and lets you look at exactly what a table contained on a past date. That last part is what makes audits answerable.
Platform
Databricks
One platform where your engineers, analysts and data scientists work from the same data, instead of each keeping their own copy.
Book a discovery callOne version of the data is worth more than three convenient copies of it.
Works with
MLflow
Building predictive models and actually getting them into production, with a record of what produced them.
Power BI, Tableau and Looker
Connected directly, so the reporting layer reads the same governed data as everything else.
Where it fits
We are not a reseller and we take no vendor commissions, so there is nothing riding on which platform you choose. What we care about is whether the setup can be operated by your team after we leave.
- Recommended where it genuinely solves a problem you have, not as a default
- Implemented as code in your repository, under your accounts
- Handed over with runbooks for the failure modes we actually hit
We build it so your team can run it
Everything sits in your accounts, in your repository, from day one. No lock-in and nothing that depends on us remembering how it works.
The rest of the stack we work in
Common questions
Do we actually need this?
If your reporting is SQL-based and your data is well structured, quite possibly not. It earns its extra complexity when you have unstructured data or machine learning sitting alongside reporting.
Can it replace our data warehouse?
Technically yes. Whether it should depends far more on your team's skills than on the technology.
Other platforms we work in
Ready to turn complexity into your next advantage?
Tell us what you are running today and what is not working. That is a more useful starting point than a platform comparison.
Book a discovery call