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Snowflake
The Snowflake AI Data Cloud is a fully managed platform that is easy to use and can handle virtually unlimited parallel workloads. Whether you are a business user or technical professional: you benefit from scalability and flexibility to load, integrate, analyze and securely share data, powered by enterprise AI.
Why use Snowflake as a AI Data Cloud?
Architecture on your terms
The unique architecture of Snowflake provides virtually unlimited storage and computing power, fully scalable independently of each other. You decide how large, how fast and how often.
Pay only for what you use
With Snowflake you pay exclusively for the computing power and storage you actually use. No fixed licenses, no surprises. Fully flexible to scale with your organisation.
AI on your own data
With Snowflake Cortex you deploy AI directly on your own data, without moving or copying that data. From predictive models to smart search: reliable AI within your own secure environment.
Collaborate without boundaries
Snowflake makes it possible to share data and applications with teams, partners and customers, across clouds and organisations. No copies, no delays. Everyone always works with the same up-to-date data.
Platform Overview
Snowflake's AI Data Cloud offers a global platform where you can store all your data, process it and deploy it for AI applications.
With Snowflake you can work together with your team(s) on the same data for a wide range of workloads, all in the cloud. How many workloads you can run simultaneously, what the right size of the platform is for you, how fast the queries are ready? We figure that out together and everything can be adjusted to suit your needs.
Our Experience with Snowflake
Our consultants have extensive experience setting up and managing Snowflake environments. From setting up the first data warehouse structure to optimizing performance and security: we ensure Snowflake seamlessly aligns with your data architecture.
Architecture & Implementation
Setting up the first data warehouse structure and the technical configuration of the environment.
Performance Optimisation
Ensuring workloads run efficiently and computing power (virtual warehouses) is used optimally.
Security & Management
Setting up a secure data architecture and continuously managing the Snowflake environment.
Cost & Scalability Advisory
Together determining the right size of the platform to keep performance and costs (pay as you use) in balance.
AI & Data Apps
Setting up Snowflake Cortex and other AI functionalities for smarter data applications.