Use Case: Cost Optimization

AI Powered Snowflake Compute Cost & Databricks Cost Optimization

Run Keebo in autopilot or recommendations-only mode to take full control of your Snowflake compute cost management. With Keebo’s AI-driven optimization, organizations can cut Snowflake compute costs by 18-33%, meet critical SLAs, and free engineers from time-consuming manual FinOps tasks.

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Reduce Cloud Spend
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Eliminate Resource Waste
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Ensure Continuous Efficiency
Warehouse Optimization

Warehouse Optimization (KWO)

  • 26.95% avg savings on Snowflake & Databricks
  • Real-time autonomous tuning
  • 6-layer SLA guardrails
  • Granular controls, zero maintenance
  • Meta-data only (SOC 2 Type II)
Workload Intelligence

Workload Intelligence (KWI)

  • ~18% extra savings surfaced
  • Prioritized recommendations—no code changes
  • Granular cost attribution & inefficiency discovery
  • Warehouse, query, data, and storage health
  • Metadata-only (SOC 2 Type II)
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Query Routing (KQR)

  • 20–33% savings via optimal routing
  • AI-generated, human-approved rules
  • Decouples app logic from app performance
  • Centralized governance
  • Dedicated, firewalled end-point
    (SOC 2 Type II)

Reduce Cloud Spend (18–33%)

Autonomous optimizations capture every savings opportunity

Costco saved 50% and gained full visibility

Guarantee Performance & ROI

6-layer guardrails lock SLAs while delivering savings—pay only as you save.

Major financial institute met 100% SLAs

Boost Team Productivity

Automate optimizations eliminate free up teams to focus on strategic priorities

Cimpress freed 3,000+ engineering hrs/yr by automating optimization.”

Why No Platform Optimizes Snowflake & Databricks Like Keebo

Key Consideration Keebo Competitors
Automation Flexibility
Choice of fully autonomous optimization or human-in-the-loop recommendations
Manual recommendations only, requiring constant oversight
Performance Guarantees
Customizable SLAs with six-layer performance guardrails
Recommendations at customer’s own risk; zero performance guarantees
Savings Verification
Independently verifiable savings directly attributed to Keebo’s actions
Savings based on historical spend; credit taken for customer’s own reductions
Pricing Alignment
Success-based pricing: pay from actual savings or choose predictable flat rate
Pricing based on spend; incentivized not to substantially reduce spend
Smart Query Routing
Selectively apply Smart Query Routing without code changes
No Smart Query Routing; requires significant codebase changes
Optimization Method
State-of-the-art AI and reinforcement learning-based optimization
Heuristics and hard-coded rules; no optimality guarantees

Keebo vs. Building Your Own Dashboards & Tooling for Cost Control

Key Consideration Keebo In-House Tooling
Time-to-Value
Immediate deployment and rapid savings
Lengthy build cycles delaying benefits
Engineering Effort
Automated, minimal ongoing maintenance
Ongoing manual updates and continuous engineering overhead
ROI Certainty
Independently verifiable savings and predictable ROI
Uncertain returns; difficult to accurately attribute savings
Financial Risk
Success-based pricing aligned with actual savings
High upfront costs and unpredictable total expenses
Performance Assurance
Guaranteed SLAs with multi-layer performance protections
No explicit performance guarantees; risk borne internally
Resource Utilization
Engineers freed to focus on core business activities
Significant opportunity cost; distracting from core priorities
Optimization Methodology
Proven, state-of-the-art AI-driven optimizations
Requires internal expertise; re-inventing and maintaining tooling

Optimizing Your Snowflake & Databricks Pays for Itself

See exactly how Keebo drives measurable ROI and immediate cost savings.

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Reduce Cloud Spend

Automatically and continuously optimize resources to capture every savings opportunity and reduce your Snowflake & Databricks costs 24/7.

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Guarantee Performance & Cost Savings

Keebo’s performance guardrails ensure cost reduction never impacts workload SLAs, delivering reliable savings without performance trade-offs.

Boost Team Productivity ROI

Boost Team Productivity & ROI

Automate optimization and eliminate manual tuning tasks, freeing your data teams to focus on strategic priorities and business growth.

Have a Surplus of Snowflake Credits or Databricks DBUs due to Overcommitment?

Letting your unused credits expire or continuing to over-purchase credits at renewal are NOT your only options-Keebo can save your excess credits from expiring while optimizing your Snowflake compute cost. Contact us to find out how.

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Deploy in Minutes—See Savings Immediately

Experience measurable ROI with Keebo’s Data Cloud optimization today.

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Frequently Asked Questions

How can I reduce Snowflake compute cost without sacrificing performance?

You can reduce Snowflake compute cost by optimizing your workloads and using intelligent query routing, right-sizing your warehouses, and setting appropriate auto-suspend policies. Additionally, regularly monitoring usage patterns and leveraging AI-driven cost visibility tools can help maintain efficiency without performance loss.

How do resource monitors help manage Snowflake compute cost?

Resource monitors in Snowflake allow you to set usage thresholds and define actions (like suspending a warehouse or sending alerts) when those limits are reached. This proactive approach prevents cost overruns and keeps your Snowflake compute spending aligned with budget targets.

Can automation help control Snowflake compute costs?

Yes, automation plays a crucial role in cost management. AI-powered optimization platforms can automatically detect anomalies, reroute queries, and scale warehouses in real time to reduce unnecessary compute consumption—helping you continuously optimize Snowflake compute costs without manual oversight.

Why is continuous monitoring important for controlling Snowflake compute costs?

Snowflake usage patterns evolve as your data and workloads grow. Continuous monitoring ensures you can spot inefficiencies early, adjust warehouse configurations promptly, and apply automated optimizations to keep Snowflake compute costs under control at all times.

How does query optimization impact Snowflake compute costs?

Query optimization directly affects Snowflake compute costs by reducing the amount of time and resources required to execute queries. By optimizing SQL statements, indexing efficiently, and eliminating redundant computations, you can minimize warehouse run time—resulting in fewer consumed credits and lower overall compute costs.