Keebo | Snowflake and Databricks Financial Services

Optimize Snowflake & Databricks to Cut Costs, Boost Visibility, and Enhance Performance

Deliver superior user experiences and financial insights without inflating cloud data costs.

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Maximize query performance
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Control spend proactively
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Automate 24/7

Drive Innovation in Financial Services without Driving Up Costs

Optimize costs, performance, and visibility—transform your data into competitive advantage.

Optimize Customer Experience

Keebo ensures fast, reliable queries and personalized insights, improving user satisfaction without increasing cloud spend.

Unified Customer Insights

Integrate data across platforms efficiently to support personalization, segmentation, and smarter financial decisions.

Accelerate Innovation

Free your data teams from manual optimization tasks, enabling faster delivery of digital products and services.

Enable High-Performance Analytics

Empower your investment analysts with optimized data workflows, reducing costs and accelerating quantitative research.

Integrate ESG Data Efficiently

Incorporate ESG data without increasing spend. Keebo’s optimization makes adding new data cost-effective and simple.

Enhance Fraud Detection

Leverage more data affordably to strengthen fraud detection, compliance, and financial crime analytics.

Trusted by Leading Financial Organizations

Discover why financial firms choose Keebo for optimization and visibility.

“With Keebo, we’ve significantly boosted query speeds and cost transparency across our data workloads—directly impacting our bottom line.”

VP of Data Engineering

Fortune 500 Investment Bank

“Keebo’s proactive cost controls and real-time insights have transformed our ability to forecast expenses and optimize operations.”

Head of Cloud FinOps

Major Global Hedge Fund

“The automation capabilities provided by Keebo have drastically reduced manual tuning, freeing our engineers for more strategic initiatives.”

Chief Information Officer

Global Asset Management Firm

Trusted by industry leaders

Facteus | PayJoy | Checkr | Paddle

Why Financial Firms Choose Keebo Over Alternatives

Compare Keebo’s optimization, visibility, and performance assurance against competitors and in-house solutions.

Keebo vs Competitors Comparison
Key Consideration Keebo Competitors
Automation Flexibility
Choice of fully autonomous or human-in-the-loop optimization
Manual recommendations, constant oversight
Performance Guarantees
Customizable SLAs & multi-layer performance guardrails
Recommendations at your own risk, no SLAs
Savings Verification
Independently verifiable, attributed directly to Keebo
Savings based on historical spend; ambiguous
Pricing Alignment
Success-based or predictable flat fee pricing
Pricing incentivizes higher spend
Smart Query Routing
Selectively apply without code changes
Requires significant codebase changes
Optimization Method
AI-driven with reinforcement learning
Rule-based heuristics, no optimality guarantee
Keebo vs Build Your Own Comparison
Key Consideration Keebo Build Your Own
Time-to-Value
Instant, actionable insights
Months to build effective tools
Engineering Effort
Minimal effort, fully automated
Significant manual effort & continuous maintenance
ROI Certainty
Proven, independently verifiable ROI
Uncertain ROI; attribution challenges
Financial Risk
Success-based pricing, predictable cost
High upfront & ongoing maintenance costs
Resource Utilization
Frees engineers to focus on core tasks
Distracts teams from strategic projects
Optimization Approach
Proven AI-driven optimization
Requires in-house expertise & continuous updates

Tailored Features for Financial Services

Keebo provides solutions specifically optimized for the demanding needs of the financial sector.

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Cost Optimization

  • Automated resource right-sizing
  • Prevent waste proactively
  • Third-party verified savings
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Visibility & FinOps

  • Real-time cost attribution
  • Granular reporting & analytics
  • Predictive forecasting
Efficiency Performance Efficien

Performance Efficiency

  • Continuous query optimization
  • AI-driven workload management
  • Minimize manual engineering effort