Blogs
-
Keebo: Revolutionizing Warehouse Optimization with a Technical Lens
Learn how Keebo’s Snowflake cost optimization framework cuts warehouse spend, boosts query speed, and safeguards SLAs with an adaptive six-layer strategy.
-
Data Lake vs. Data Warehouse: What’s the Difference?
Data lake vs. data warehouse: No one option is better than the other. Here’s a rundown of the differences to see which best fits your…
-
3 Strategies to Prevent Auto-Generated Queries from Impacting Cost & Performance
Automated queries from third-party applications are often written inefficiently, causing issues with cost & performance. Here’s how to avoid those problems.
-
How Your “Experts” Have Been Misleading You About Snowflake Auto Suspend Settings
Discover how overly aggressive Snowflake auto suspend settings recommended by internet experts increase costs. Learn how Keebo’s AI-driven optimization saves money and boosts performance.
-
Snowflake vs. BigQuery: What are the differences & which should you choose?
If you’re considering choosing Snowflake vs. BigQuery as your data cloud layer, here’s a comprehensive rundown of the differences of each platform.
-
Keebo’s Transformative Approach Earns AI-Based Snowflake Cost Optimization Honor
We’re thrilled to announce that Keebo has been recognized as AI-Based Snowflake Cost Optimization Solutions of the Year by CIO Review.
-
How Retailers Can Optimize These 5 High-Demand Cloud Data Workloads
Modern retailers require use of large, complex datasets that increase cloud costs & hurt performance. Here’s how to optimize these high-demand workloads.
-
Designing a Reinforcement Learning Pipeline: Crafting the Reward Function and Simulator
Learn how Keebo designs RL components to enable autonomous optimizations that reduce cost without hindering performance.
-
See How Keebo’s Autonomous Warehouse Suspension Algorithm Maximizes Snowflake Savings
Snowflake warehouse auto-suspend is effective at reducing credit consumption and costs. With Keebo’s real-time controller, it works even better.