Compare Keebo vs Select.dev
Both Keebo and Select.dev help teams control data cloud costs, but they operate at different layers of the stack. Select.dev focuses on workload visibility and query-level insights, helping teams understand, debug, and optimize how data is used across tools like dbt and warehouses. Keebo, on the other hand, is an autonomous optimization platform that continuously tunes warehouses and workloads in real time to deliver cost savings and performance improvements without manual intervention. In short, Select.dev helps you analyze and manage data workflows, while Keebo automatically optimizes them for you.
Company
| Capability | Keebo | Select.dev |
| Founded | 2019 | 2022 and acquired by DoIT in 2026 |
| FinOps Foundation Alignment | General Member | Premier Member through DoIT |
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 |
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 |
Pricing
Keebo.ai savings are calculated based on actual actions taken by Keebo and events that happen to the warehouse.
Keebo.ai offers flexible, customer-centric pricing to suit various business needs. Customers can choose between the following plans:
- Pay-as-you-save, where payment is typically ~20-33% of independently verifiable savings depending on cost per credit and region
- 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.