Spending on snowflakes increasing? How to deal with "chaos"

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Data is the lifeblood of organizations, but managing it is not an easy task. Businesses need to create data pipelines, maintain them, and then bring it all together in a central data warehouse for analytics and data science.

Now, while there are many data warehouses to work with, Snowflake continues to perform best. The company's data cloud, according to the company, has more than 7,000 enterprise customers (and continues to grow) and has seen particular demand for its ability to support diverse workloads, as well as pricing at usage-based usage. model.

However, the problem with cloud data warehouses like Snowflake is that they all have different cost structures. Teams cannot easily compare which product is more affordable. Second, not all of these products offer real-time alerts or even optimization features to reduce costs. Teams must manually sift through resource usage reports from cloud providers to identify services that are driving up costs to make adjustments. It's time-consuming, error-prone, and far from scalable.

Enter Chaos Genius for Snowflake optimization

To address these challenges, California-based Chaos Genius offers an automated data operations observability and optimization platform. The company recently raised $3.3 million in a seed round led by Elevation Capital with participation from Y Combinator and several angel investors.

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Chaos Genius' platform uses machine learning and artificial intelligence to analyze workloads (queries, databases, and resource usage) in a data warehouse and provides enhanced metrics and capabilities cost monitoring. This allows teams to dive into credit consumption data, detect anomalies, create smart alerts and automatically get recommendations to optimize performance and reduce costs.

For example, the platform can analyze query patterns (often at the scale of millions) to identify inefficient queries and make intelligent recommendations to reduce them, thereby improving performance.

"Given the economic downturn, businesses are pushing like never before to cut spending, especially when it comes to reckless spending," said Preeti Shrimal, co-founder and CEO of Chaos Genius.

"With a unique set of features, such as analyzing query patterns, finding unused data, and [crafting] smart recommendations, our product is having a huge impact on how data teams use their warehouses,” she added.