We build Snowflake architectures that are tailored to your unique business needs, whether you're already in the cloud or not.
We implement your Snowflake infrastructure, migrate existing data, and set up data pipelines; in combination with other cloud services, of course.
Through updates, performance monitoring, troubleshooting, and resource optimization, we help you consistently get the most out of your Snowflake solution.
Since 2019, we have been gaining valuable experience with Snowflake, which enables us to identify and avoid pitfalls early on in order to reach our destination reliably and quickly.
Our data engineers are constantly educating themselves in the Snowflake universe and completing official certifications. These prove their expertise.
As one of the first Snowflake partners in Germany, we can draw on a broad network of responsible persons when required.
“By cleverly linking data, we have not only optimized our internal processes, but also broken up data silos and thus secured a decisive competitive advantage. ”
Vanessa Kremer
Lead Data & Analytic Chapter
Snowflake allows compute capacity to be scaled elastically independent of storage. This allows you to allocate resources appropriately for different workloads without fixing capacity in advance. Snowflake automatically takes care of infrastructure aspects such as patching, availability, and redundancy.
Snowflake combines flexibility, scalability, compute and storage separation, and native support for a wide range of data formats. It also provides built-in security and governance features that are superior to many managed services approaches.
Pure implementation focuses on setup and migration. A Snowflake consultation goes further and looks at usage concepts, cost management, governance, and Snowflake's role in the overall data and analytics strategy.
Snowflake serves as a central database on which analytics, BI and AI use cases are based. Good advice ensures that data is consistent, scalable and reusable for various applications.
The costs of Snowflake consulting depend heavily on objectives, scope and initial situation. Factors include architecture design, migration of existing systems, optimization, governance, or accompanying operation. In practice, the spectrum ranges from compact assessments to longer-term transformation or platform projects.
Let us answer your questions during a non-binding initial consultation.
Our certified data engineers advise you and build a scalable data architecture
Use our AI consulting to make predictions, automate your processes, and identify trends.
Modernized tech stack and enablement for customer data analytics
