What we build · Data layer
Data foundations
We build a cloud-native data foundation on the cloud you choose, so there are no servers to buy and costs grow only with use.
Talk to an architect- Intelligence05 What should we do?
- Insights04 Why, and what comes next?
- Knowledge03 How does it all connect?
- Information02 What is happening?
- Data01 What do we hold?
- Open by design# under every layer
The worry it answers
Cost, and being locked in
Capital spend on servers and licences gives way to usage-based cost, and data sits in open formats other platforms can read.
What we build
Captured at cloud scale, paid for as used.
- Cloud-native from the first line
Built on whichever major cloud suits you, so capacity, speed and cost follow demand.
- Open table formats
Data held in Apache Iceberg or Delta Lake, so it stays readable by other tools and platforms.
- The platform that fits
Databricks, Snowflake, Microsoft Fabric or an open-source stack, chosen on your merits with a written rationale.
What you see Platforms that scale without re-architecture; spend tied to use.
Tools and standards
Chosen for you, not for us.
Examples, not a preferred list. We use open-source components where they fit, and name every standard and licence in the design.
| Capability | Typical tools and standards |
|---|---|
| Cloud | AWS, Azure, Google Cloud |
| Data platform | Databricks, Snowflake, Microsoft Fabric, open-source stacks |
| Table formats | Apache Iceberg, Delta Lake |