Use Case: Performance & Team Efficiency

Boost Performance & Team Efficiency on your Snowflake or Databricks Cloud Data Warehouse

Boost query performance by 3-10x, ensure 24/7 efficiency, and 90% less engineering effort

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Accelerate Queries
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24/7 Resource Efficiency
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Cut Manual Tuning

Human Artificial Intelligence:
Human Expertise + AI Power – Better Together

In the modern cloud based data warehouse environment, true efficiency comes from the perfect blend of human artificial intelligence. Keebo pairs expert guardrails with 24/7 AI optimization to deliver maximum performance and efficiency.

Human Experts

  • Understand business context & SLAs
  • Prioritise mission-critical workloads
  • Provide strategic oversight & governance

AI Power

  • Analyses millions of metrics in real time
  • Optimises performance & spend 24/7
  • Executes optimizations at a fraction of the cost

Experts set the rules — Keebo’s AI Power enforces them continuously.

Autonomous Optimizations
Autonomous Optimizations

Autonomous Optimizations

  • Frees 3,000+ engineering hrs/yr
  • 6-layer SLA guardrails; runs fully autonomous
  • Meta-data only (SOC 2 Type II)

“Cimpress freed up 3,000+ eng-hrs.”

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Comprehensive Insights
Comprehensive Insights

Comprehensive Insights

  • Saves 90% analysis time
  • Prioritized recommendations with $/latency impact
  • Metadata-only (SOC 2 Type II)

“Freshworks prevented SLA violations.”

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Comprehensive Insights
Comprehensive Insights

Real-Time Query Routing

  • 3-10× query speedup on Snowflake & Databricks
  • Centralised governance—decouples performance from app code
  • Dedicated, firewalled end-point (SOC 2 Type II)

“FinTech sped up dashboards by 8×”

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Why Keebo Beats Manual Tuning and In-House Optimization

What You Need

Keebo

Manual Optimization

Time-to-Value

Immediate improvements, automatic optimization from day one

Endless hours of manually tweaking queries, months to create effective tooling

Query Performance

3-10× query speedup, continuous SLA protection

Manual tuning required, slow and error-prone optimizations

Engineering Productivity

Fully automated; zero engineering distraction

Heavy ongoing engineering effort, continuous manual intervention

Optimization Approach

AI-driven optimization with proven algorithms and real-time adjustments

Manual heuristics, limited insights, and static recommendations

Actionable Insights

AI pinpoints exact issues with clear, prioritized remediation steps

Dashboards highlight problems without clear steps for resolution

Governance & Best Practices

Built-in optimization best practices, effortless governance & compliance

Difficult to maintain best practices; relies heavily on manual effort

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Why Data Leaders Choose Keebo to Maximize Performance & Efficiency

By combining automation with human artificial intelligence, Keebo helps organisations eliminate manual tuning, optimise queries, and enhance the speed and reliability of platforms like Snowflake data warehouse and Databricks. Immediate, measurable impact—3-10× faster queries, 90% less manual tuning, and 24/7 efficiency on Snowflake & Databricks.

blue dollar

Immediate, Measurable Savings

  • Cut compute spend 20–33 % and boost ROI.
  • Dynamically adjust resources to workload changes 24/7
Boost Team Productivity ROI

Team Productivity & Query Performance

  • 3–10× faster queries with smarter optimizations
  • Free engineers from tuning—90% less manual effort; 1,000s of hours reclaimed.
Proactive Risk Migration

Proactive Risk Mitigation

  • AI guardrails prevent SLA breaches and costly slowdowns.
  • Continuous monitoring & auto-correction ensure 24/7 efficiency

Start Boosting Snowflake & Databricks Performance Today

Schedule a demo to see how Keebo will help you get the most out of Snowflake and Databricks.

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Frequently Asked Questions

How does human artificial intelligence support cloud data warehousing?

Human artificial intelligence bridges the gap between human expertise and AI automation in data warehousing. By combining advanced AI algorithms with human insight, organisations can enhance data accuracy, detect anomalies, and automate repetitive tasks leading to faster insights and more strategic outcomes.

How does a cloud data warehouse enhance data-driven decision making?

A cloud based data warehouse provides centralised access to reliable, real-time data. This empowers teams to identify trends, forecast outcomes, and make informed strategic decisions without delays or outdated reports. With AI-driven optimisation, businesses can turn data into actionable intelligence faster than ever.

What makes a modern cloud data warehouse different from traditional systems?

Modern cloud data warehouses are designed for agility, scalability, and automation. Unlike traditional systems that require manual maintenance and limited capacity, cloud warehouses offer elastic scaling, built-in security, and integration with advanced analytics and AI tools for continuous performance improvement.

How does Keebo improve performance and team efficiency with cloud data warehousing?

Keebo leverages cloud data warehouse intelligence and human artificial intelligence to automate query optimisation, reduce cloud costs, and improve performance. Its platform continuously learns from workloads to optimise resource usage, helping teams work smarter, faster, and more efficiently.

How does a cloud data warehouse support business scalability?

A cloud data warehouse supports business scalability by allowing organisations to increase or decrease storage and computing power as needed. This flexibility ensures that performance remains consistent, even as data volumes or workloads grow. It also eliminates the need for expensive hardware upgrades associated with traditional data storage systems.