Here at CloudZero, we work with some of the top software-driven companies out there. Like us, they’re building their products on Amazon Web Services (AWS), along with whatever best-of-breed providers meet their needs.
It’s no secret that in recent years, Snowflake has seen — well, some serious success. For many companies, including CloudZero, they’re the data warehouse provider of choice — and an essential component of delivering their products.
Our mission is to help companies achieve resilient growth, by giving them the cost visibility they need to make decisions that grow their margins — and architect applications that maximize the elasticity and efficiency of the cloud.
As Snowflake users ourselves, we realized that by only looking at AWS cost data, we had a blind spot in our view of our COGS (cost of goods sold) — and we heard this feedback from our customers as well.
Introducing Snowflake Cost Intelligence
Today, I’m thrilled to announce that we’re now offering Snowflake Cost Intelligence — the first solution to combine Snowflake and AWS data into detailed cost insights. With this solution, companies who use both Snowflake and AWS can gain a complete view of the cost to build and run their products.
Like CloudZero’s existing solution in AWS, Snowflake Cost Intelligence helps engineering teams map costs to architectural and technical decisions, so they can understand exactly where their products and features are contributing to their total spend. Engineering teams can easily create views for dev teams to help foster a culture of autonomy and cost consciousness engineering.
Since Snowflake charges are usage based, teams need to know more than just what’s shown on an end of the month billing statement. Billing is based on the cost of storage and the cost of the compute resources consumed. Storage is per terabyte, compressed per month.
The charge for compute is based on Snowflake credits, the units consumed to run queries or perform services. These compute engines that power query execution are billed hourly based on their size. The bigger they are, the more credits they use per hour.
CloudZero helps customers to control, predict, and measure their Snowflake costs alongside AWS. To prevent unexpected costs, CloudZero offers automatic, machine learning-driven cost anomaly alerting — with the context engineers need to understand exactly what happened. Dev teams will also receive weekly updates about cost trends.
A Robust Solution for Snowflake and AWS Customers
Of course, it’s common that when companies launch support for a new provider, they start small, with partial support, and build over time. Here’s what I’m particularly excited about: This isn’t that. Customers will be able to enjoy all of CloudZero’s features built for AWS — now for Snowflake.
Try It for Yourself
To experience Snowflake Cost Intelligence, schedule a demo now.
The Cloud Cost Playbook
The step-by-step guide to cost maturity
