Keebo | Keebo vs Select.dev

Keebo vs Select.dev

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

CapabilityKeeboSelect.dev
Autonomous warehouse size adjustmentsyesno
Autonomous warehouse cluster-count adjustmentsyesno
Autonomous warehouse autosuspend adjustmentsyesyes
Proactive suspension algorithmyesno
Independently verifiable savings estimationyesno
Algorithm aggressiveness tuningyesno
Performance Guardrails (guarantees about max latency, 99th percentile latency, queue size, etc…)yesno
Outside change detection (automated detection of changes made by other applications and users to prevent overriding those settings)yesno
Custom schedule based resizing rulesyesno
Automated upsizing (if desired by users)yesno
Complete visibility into performed optimizationsyesyes
Full control over which Snowflake warehouse settings are optimizedyesno
Governance and audit logs for user and system actionsyesno

Cost Visibility & Allocation

CapabilityKeeboSelect.dev
Out of the box spend dashboardsyesyes
Analyze query performance by warehouseyesyes
View savings on the UIyesyes
Analyze costs by warehouseyesyes
Analyze costs by Snowflake useryesyes
Analyze costs using Snowflake tagsyesyes
Analyze costs by Snowflake roleyesyes
Projected Snowflake Usageyesyes
Projected savingsyesyes
Analyze cost per queryyesyes
Warehouse utilization analysisyesyes
Workload analysis based on query similarityyesyes
Unused and Unread (written to but not used for querying)  tables analysisyesyes
Budget based alertsnoyes
Cost spike alertsComing soon…yes
Cost lineagenoyes
Automatic cost attribution integrationsnoyes

Performance Monitoring

CapabilityKeeboSelect.dev
Analyze query queuing by warehouseyesyes
Analyze data spillage by warehouseyesyes
Analyze query queuing by warehouseyesyes
Analyze query imbalance by warehouseyesyes
See historical query performanceyesyes
See historical query stats (data scanned, pruning efficiency, spillage, etc.)yesyes
Wasteful Queries Analysis(frequently failing)yesyes
Predefined alertsyesyes
Custom AlertsComing soon…yes

Savings and Performance Recommendations

CapabilityKeeboSelect.dev
Underprovisioned warehouse recommendationsyesyes
Query migration recommendation and Analysis(imbalanced warehouse)yesno
Memory inefficient recommendation(increase autosuspend)yesyes
Unused tables recommendationyesyes
Rarely used tables recommendationyesyes
Table clustering key analysisComing soon…yes
Workloads with high spillageyesyes
Exploding join detectionnoyes
Most expensive queriesyesyes
Query optimization recommendationsComing soon…yes

Query Routing

CapabilityKeeboSelect.dev
Autonomous query routingyesno
Custom routing rulesyesno
Metric based routing rulesyesno
Optimize for KPIs(Average query latency, cost, etc…yesno

Platform

CapabilityKeeboSelect.dev
Product maturity6 years (20193 years (2022)
Supported PlatformSnowflake, Databricks,(+ private preview for BigQuery) Snowflake only
SOC 2 complianceyesyes
Role-based access controlsyesyes
Open APIyesyes? (https://api.select.dev/)
SSO portal accessyesyes
Connect multiple Snowflake accountsyesyes

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

What are the benefits of using Keebo?

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 CategorySpecific BenefitDescription
Cost savingsAutomatic cost reductionReal-time, intelligent warehouse right-sizing, autosuspend tuning, and cluster-count optimization to slash costs without manual guesswork.
Verifiable savingsGuarantees savings backed by actual Snowflake metadata, not estimates, showing real impact on spending.
Cost allocation & visibilityEnables cost allocation and visibility across users, warehouses, roles, and tags, providing clear insights into spend for finance and engineering teams.
Performance protectionCustom SLAs & guardrailsProtects performance by setting limits on latency, queue size, and more, ensuring cost reductions don’t compromise query speed or reliability.
Dynamic query routingReroutes queries dynamically with custom rules aligned with KPIs, optimizing both cost and performance at the workload level.
Control & transparencyFull control & governanceAllows users to choose which settings are optimized and when, with built-in audit logs, notifications, and complete governance transparency.
Total optimization visibilityProvides clear logs and explanations for every optimization action, ensuring users are always informed.
AdaptabilityInstant adaptationDetects 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.

How is Keebo different from Select.dev?

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.

What makes Keebo a better alternative to Select.dev?

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

CapabilityKeeboSelect.dev
Product Maturity6 years (2019)3 years (2022)
Supported PlatformsSnowflake & DatabricksSnowflake only
Autonomous OptimizationFull automation: size, cluster count, autosuspend, upsizingLimited to auto-suspend only
Automation FlexibilityAutopilot or approval-only modesManual recommendations (except auto-suspend)
Performance Guarantees6-layer SLA protectionNo performance guarantees
Savings VerificationVerifiable with your metadataBased on historical spend
Pricing AlignmentSuccess-based: pay per savings or flat fee3% of Snowflake spend; no incentive to cut costs
Smart Query RoutingIntelligent, real-time routing; no code changes neededNot available
Optimization MethodologyAI agent using reinforcement learningHeuristics; no guarantee of optimality
Change Detection & Drift PreventionYes — adapts to external Snowflake changesNo — 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.