About Keebo.ai
Keebo is the leading provider of AI-powered optimization solutions for Snowflake and Databricks, delivering a suite of products that maximize cost savings, enhance performance, and simplify Snowflake and Databricks management. Keebo’s patented technology leverages real-time data learning to continuously optimize Snowflake warehouses, queries, and workloads. Key offerings include:
- KWO (Keebo Warehouse Optimization): Fully autonomous warehouse resizing, suspension, and clustering adjustments that ensure significant savings with little to no user intervention.
- KWI (Keebo Workload Intelligence): Provides deep observability and actionable insights into spend, query performance, warehouse configuration, and data usage.
- KQR (Keebo Query Routing): Intelligently routes queries to the most suitable warehouses in real time, reducing overutilization, reducing costs, and ensuring peak performance.
Keebo’s solutions are designed for simplicity, with setup taking as little as 30 minutes and requiring no advanced Snowflake or Databricks expertise. Keebo prioritizes security by accessing only metadata, never your actual data, and offers 24/7 support.
About Select.dev
SELECT (also known as SELECT.DEV), founded in 2022, provides a software application designed for Snowflake cost and performance management. Its primary function is to offer visibility into Snowflake expenditures and suggest configuration modifications. The platform’s core emphasis is on observability and recommendations for optimizing Snowflake environments. Recently, SELECT has implemented some automated adjustments to warehouse auto suspend value, with the stated goal of reducing compute costs.
SELECT’s pricing model is a flat 3% of a user’s annual Snowflake spend.
Detailed Comparison
Autonomous Warehouse Optimization
Capability | Keebo | Select.dev |
Autonomous warehouse size adjustments | yes | no |
Autonomous warehouse cluster-count adjustments | yes | no |
Autonomous warehouse autosuspend adjustments | yes | yes |
Proactive suspension algorithm | yes | no |
Independently verifiable savings estimation | yes | no |
Algorithm aggressiveness tuning | yes | no |
Performance Guardrails (guarantees about max latency, 99th percentile latency, queue size, etc…) | yes | no |
Outside change detection (automated detection of changes made by other applications and users to prevent overriding those settings) | yes | no |
Custom schedule based resizing rules | yes | no |
Automated upsizing (if desired by users) | yes | no |
Complete visibility into performed optimizations | yes | yes |
Full control over which Snowflake warehouse settings are optimized | yes | no |
Governance and audit logs for user and system actions | yes | no |
Cost Visibility & Allocation
Capability | Keebo | Select.dev |
Out of the box spend dashboards | yes | yes |
Analyze query performance by warehouse | yes | yes |
View savings on the UI | yes | yes |
Analyze costs by warehouse | yes | yes |
Analyze costs by Snowflake user | yes | yes |
Analyze costs using Snowflake tags | yes | yes |
Analyze costs by Snowflake role | yes | yes |
Projected Snowflake Usage | yes | yes |
Projected savings | yes | yes |
Analyze cost per query | yes | yes |
Warehouse utilization analysis | yes | yes |
Workload analysis based on query similarity | yes | yes |
Unused and Unread (written to but not used for querying) tables analysis | yes | yes |
Budget based alerts | no | yes |
Cost spike alerts | Coming soon… | yes |
Cost lineage | no | yes |
Automatic cost attribution integrations | no | yes |
Performance Monitoring
Capability | Keebo | Select.dev |
Analyze query queuing by warehouse | yes | yes |
Analyze data spillage by warehouse | yes | yes |
Analyze query queuing by warehouse | yes | yes |
Analyze query imbalance by warehouse | yes | yes |
See historical query performance | yes | yes |
See historical query stats (data scanned, pruning efficiency, spillage, etc.) | yes | yes |
Wasteful Queries Analysis(frequently failing) | yes | yes |
Predefined alerts | yes | yes |
Custom Alerts | Coming soon… | yes |
Savings and Performance Recommendations
Capability | Keebo | Select.dev |
Underprovisioned warehouse recommendations | yes | yes |
Query migration recommendation and Analysis(imbalanced warehouse) | yes | no |
Memory inefficient recommendation(increase autosuspend) | yes | yes |
Unused tables recommendation | yes | yes |
Rarely used tables recommendation | yes | yes |
Table clustering key analysis | Coming soon… | yes |
Workloads with high spillage | yes | yes |
Exploding join detection | no | yes |
Most expensive queries | yes | yes |
Query optimization recommendations | Coming soon… | yes |
Query Routing
Capability | Keebo | Select.dev |
Autonomous query routing | yes | no |
Custom routing rules | yes | no |
Metric based routing rules | yes | no |
Optimize for KPIs(Average query latency, cost, etc… | yes | no |
Platform
Capability | Keebo | Select.dev |
Product maturity | 6 years (2019 | 3 years (2022) |
Supported Platform | Snowflake, Databricks,(+ private preview for BigQuery) | Snowflake only |
SOC 2 compliance | yes | yes |
Role-based access controls | yes | yes |
Open API | yes | yes? (https://api.select.dev/) |
SSO portal access | yes | yes |
Connect multiple Snowflake accounts | yes | yes |
Pricing
Keebo.ai offers flexible, customer-centric pricing to suit various business needs. Customers can choose between pay-for-savings, where payment is based on measurable savings, or a predictable flat-rate subscription. Success-based pricing ensures that Keebo’s objectives are closely aligned with those of its customers, as they are linked to generating measurable and demonstrable outcomes.
Select.dev charges a flat rate of 3% of your total snowflake spend.
Frequently Asked Questions
Keebo is an AI agent that automatically optimizes Snowflake. It maximizes savings and ensures performance without manual intervention, offering a complete solution for efficient Snowflake environment management.
Benefit Category | Specific Benefit | Description |
---|---|---|
Cost savings | Automatic cost reduction | Real-time, intelligent warehouse right-sizing, autosuspend tuning, and cluster-count optimization to slash costs without manual guesswork. |
Verifiable savings | Guarantees savings backed by actual Snowflake metadata, not estimates, showing real impact on spending. | |
Cost allocation & visibility | Enables cost allocation and visibility across users, warehouses, roles, and tags, providing clear insights into spend for finance and engineering teams. | |
Performance protection | Custom SLAs & guardrails | Protects performance by setting limits on latency, queue size, and more, ensuring cost reductions don’t compromise query speed or reliability. |
Dynamic query routing | Reroutes queries dynamically with custom rules aligned with KPIs, optimizing both cost and performance at the workload level. | |
Control & transparency | Full control & governance | Allows users to choose which settings are optimized and when, with built-in audit logs, notifications, and complete governance transparency. |
Total optimization visibility | Provides clear logs and explanations for every optimization action, ensuring users are always informed. | |
Adaptability | Instant adaptation | Detects manual updates in Snowflake and adjusts automatically to keep optimizations on track. |
Keebo brings together full-stack automation, actionable recommendations, and intelligent query routing, delivering savings, speed, and assurance other platforms can’t match.
Keebo and Select.dev both aim to reduce Snowflake costs, but only Keebo delivers hands-free, real-time optimization powered by AI. While Select.dev offers limited automation, primarily adjusting auto-suspend values, Keebo continuously optimizes all critical warehouse settings, including size, cluster count, and upsizing, using real-time metadata and advanced AI models.
Here’s what sets Keebo apart:
- Autonomous Optimization That Responds in Real Time: Select.dev requires engineering teams to review and implement recommendations manually. Keebo learns from live Snowflake usage and acts instantly, even during off-hours, when real-time cost savings can be lost with manual tools.
- Flexible Automation Modes: Keebo gives teams control with two modes: Autopilot for zero-touch automation, or approval-only mode when oversight is preferred. Select.dev lacks this flexibility.
- Performance Guardrails: Keebo enforces strict guardrails on query latency, queuing, and more, ensuring that savings never come at the cost of performance. Select.dev offers no such protections.
- CFO-Verified Savings: Keebo calculates cost savings using your actual Snowflake metadata, not rough historical estimates, giving teams and finance real confidence.
- Smart Query Routing: Keebo routes queries dynamically to the optimal warehouse to cut latency and reduce spend, a capability Select.dev doesn’t offer.
- Change-Aware Optimization: Keebo detects and adapts to any Snowflake setting changes made outside the platform, ensuring stable, drift-free optimization.
AI-Powered Optimization Methodology: Keebo uses reinforcement learning to continuously improve and adapt. Select.dev relies on static heuristics, with no guarantee of optimality.
Keebo offers deeper automation, smarter routing, and verified results that teams can trust. Unlike Select.dev, which stops at auto-suspend adjustments, Keebo fully automates all key optimization levers, and gives you the flexibility, control, and assurance that modern FinOps teams demand.
Keebo vs. Select.dev – Feature Comparison
Capability | Keebo | Select.dev |
Product Maturity | 6 years (2019) | 3 years (2022) |
Supported Platforms | Snowflake & Databricks | Snowflake only |
Autonomous Optimization | Full automation: size, cluster count, autosuspend, upsizing | Limited to auto-suspend only |
Automation Flexibility | Autopilot or approval-only modes | Manual recommendations (except auto-suspend) |
Performance Guarantees | 6-layer SLA protection | No performance guarantees |
Savings Verification | Verifiable with your metadata | Based on historical spend |
Pricing Alignment | Success-based: pay per savings or flat fee | 3% of Snowflake spend; no incentive to cut costs |
Smart Query Routing | Intelligent, real-time routing; no code changes needed | Not available |
Optimization Methodology | AI agent using reinforcement learning | Heuristics; no guarantee of optimality |
Change Detection & Drift Prevention | Yes — adapts to external Snowflake changes | No — risk of optimization drift |
Commitment to Transparency
This comparison guide was created using publicly accessible information and customer feedback. If you find any errors, please get in touch with info@keebo.ai and include proof to support your correction request, and we will update the page.