The cloud data warehouse that actually scales.
Snowflake is the foundation of a modern data engineering stack. We combine it with dbt, Fivetran and your existing BI tools, and build a data environment that holds up as demands grow.
A warehouse built for the cloud, not ported to it
Unlike traditional databases, Snowflake was built from the ground up for the cloud. Storage and compute are completely separated, which means you can query terabytes of data without provisioning servers, and you only pay for the queries you actually run.
Snowflake is tool-agnostic. It works just as well with Power BI, Tableau, Looker or Python notebooks. We build your stack around what you already use and make sure Snowflake serves as a solid, shared foundation for everything.
Separation of compute & storage
Scale up compute without moving data
Zero-copy cloning
Copy environments in seconds for testing and development
Time travel
Read historical data and restore tables back in time
Multi-cloud
Run on AWS, Azure or GCP, or combine them
Snowflake as the hub, with the right tools around it
A modern data engineering stack is about combining best-in-class tools that work well together. We assemble the stack based on your situation and ensure each component plays its role without unnecessary complexity.
With dbt you manage transformations as code, version-controlled, testable and readable for the whole team. With Fivetran or Airbyte, data ingestion is automated. And Snowflake ties it all together as a reliable, scalable layer in the middle.
Snowflake
The heart of the stack. All structured data is stored, transformed and queried from here.
dbt
SQL transformations as code: testable, documented and reproducible.
Fivetran / Airbyte
Automated pipelines that fetch data from your source systems and deliver it cleanly to Snowflake.
Power BI / Tableau
Your existing BI tools connected directly to Snowflake and the dbt models.
What can you do with Snowflake?
Snowflake isn't just a warehouse, it's the foundation for an entire modern data engineering stack.
Unlimited scalability
Compute and storage are separated. You pay for what you actually use and can scale up or down per second without downtime.
Transformations with dbt
We structure and transform your data with dbt, a tool that makes SQL transformations testable, version-controlled and documented.
Data ingestion with Fivetran
Connect hundreds of source systems automatically. We set up Fivetran pipelines that keep your data current without manual handling.
Secure data sharing
Snowflake's built-in data sharing lets you share live data with partners and customers, without moving a single file.
Connect any BI tool
Snowflake works seamlessly with Power BI, Tableau, Looker and other tools you have already invested in, without vendor lock-in.
Multi-cloud and global reach
Run Snowflake on AWS, Azure or GCP, or several simultaneously. Data can be replicated globally and kept close to your users.
Start with a conversation about your data stack.
Book 20 minutes with Jakob and we'll talk about the right approach for you, whether you're starting from scratch or want to modernise what you already have.
Book 20 min with Jakob