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Keebo

Keebo provides a fully automated optimization platform for Snowflake, utilizing patented technology to dynamically adjust warehouse size, clustering, and memory based on real-time workload changes. This solution reduces operational costs by at least 25% without compromising query performance, freeing up data teams from manual oversight.

Palo Alto, United StatesFounded 2019473K+ followers
Updated 20 months ago

Funding

$19M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Companies using Snowflake often face challenges in optimizing their data warehouse spend due to the dynamic nature of workloads and the complexities of manual tuning. Inefficient warehouse sizing, clustering strategies, and memory allocation can lead to unnecessary costs and underutilized resources.

Solution

Keebo offers an automated optimization platform for Snowflake that dynamically adjusts warehouse size, clustering, and memory allocation based on real-time workload analysis. The platform leverages patented AI technology to identify and implement cost-saving opportunities without impacting query performance. By continuously monitoring telemetry metadata, Keebo automatically adapts to changing workload patterns, ensuring optimal resource utilization and minimizing wasted spend. The solution provides full visibility into its optimizations, allowing users to verify savings and maintain control over their Snowflake environment.

Target Audience

Keebo is designed for data teams and organizations using Snowflake who are looking to reduce their cloud data warehousing costs and improve resource utilization without sacrificing query performance.

Features

  • Automated warehouse resizing based on real-time workload analysis
  • Dynamic adjustment of clustering and memory allocation for optimal performance
  • Patented AI algorithms that learn and adapt to changing workload patterns
  • Real-time performance protection with automated "backoffs" during workload spikes
  • Full visibility into optimizations and savings through a user-friendly portal
  • Customizable rules and conditions for fine-grained control over optimization strategies
  • Secure connection using only telemetry metadata, with support for SSO and PrivateLink
  • Detailed savings reports and Snowflake spend analysis
This profile is AI-generated and may contain inaccuracies.