Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance.

Inside the Data Cloud, organizations unite their siloed data, quickly discover and securely share governed data, and execute diverse analytic workloads.

About our Snowflake practice

As the first Snowflake partner in Belgium, we have been building and designing good practices and methodologies to support startups, enterprises and governments all across Europe and the United States.

Snowflake accreditations
Snowpro certifications
Technical Sales Accredtiations
Sales Professional Accreditation

Build your core workloads on Snowflake

We can help you design, build and operate a modern data cloud based on Snowflake technology, integrated with any cloud.

Data Science

Build and deploy large analytics using Snowflake's native python capabilities

Data Engineering

Build and deploy data warehouses, data lakes, data products and data mesh.

Data Applications

Distribute advanced analytical applications through Streamlit, Snowflake's native app builder

Data Warehousing

Centralize enterprise data assets and make those accessible for multiple usecases throughout the organization

Platform governance & cost control

Once your platform goes live, adoption will likely increase exponentially and you will have plenty of activities to monitor. Just like any other on-demand cloud technology, costs may increase exponentially too. 

Be sure you’re ready for the Big Go-Live and have a FinOps framework for Snowflake in place. Tropos has deep experience in going-live with Snowflake-centric data platforms and has developed an extensive approach to planning and tracking cost across various usescases and business areas. 

Snowflake health check

The barriers to entry for adopting Snowflake are very low. Arguably the lowest of any database on the market. Additionally, Snowflake is deceptively simple to adopt. The SQL syntax is highly ANSI compliant and the speed is very accessible and easy to configure. Also, the configurability of the platform goes far beyond the thin veneer of the GUI.

But make no mistake, Snowflake is a platform that really pays you for best practices.

For these reasons, it is not uncommon to see organizations adopt Snowflake but come back to assess whether it was done correctly and determine if there are any improvements to be made.

To that end, has created a Snowflake Health Check, which incorporates both Automation and Best Practice Engineering to assess a Snowflake deployment.

This is not a person rummaging through your Snowflake instance. This Health Check leverages deep automation into benchmarking the Snowflake instance.

Featured Case Studies

Belgium's major home care provider is now able to offer a better work/life balance through optimized work planning.

Optimize operational planning in home care.

A global car manufacturer is now able to find root causes for car defects faster through globally integrated analytics.

Reduce Manufacturing Defects in Newly Bought Cars.

Adult students now travel less to the government-organized training they take thanks to geographical analysis.

How The Flemish Government Now Organizes Adult Education Based On Geographical insights.


Snowflake has a great - but underused - command line tool to automate operations.

Automating Snowflake deployment using SnowSQL

Snowflake recently introduced support for unstructured data. Here's how we used this highly requested feature for the first time.

Processing unstructured data in Snowflake

Job automation is key to efficient data engineering. Here are a few tips to use Snowflake features to built user acceptance test environments.

DataOps basics for Snowflake — part 1

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