Keebo is an autonomous data warehouse optimization platform for Snowflake and Databricks, built on patented Data Learning technology. It adjusts compute settings automatically to reduce waste while holding performance targets.
Keebo runs a loop of observing usage, learning patterns, and optimizing. Warehouse Optimization resizes warehouses, tunes auto-suspend timers, and adjusts multi-cluster scaling. Workload Intelligence is a separate module for observability and recommendations.
Keebo operates out-of-band, outside the query path, and reads metadata only. It never sees query results, raw data, or PII. No code changes or SDK installs are needed, and setup takes about 30 minutes.
Published case studies report 50% to 70% savings at Barstool Sports, a 50% reduction at Costco Travel, and 15% Snowflake savings at Cimpress. Keebo is SOC 2 Type II certified.
Pricing
Keebo offers a 14-day free trial and a Pay-As-You-Go plan starting at $0 per month. Fees follow savings: 1 Snowflake Credit or Databricks Unit (DBU) saved equals 1 Keebo Credit, with no minimum spend or account size. The Enterprise Subscription uses custom flat-rate pricing for Warehouse Optimization, Workload Intelligence, or both bundled. No permanent free plan is publicly available.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Autonomous warehouse upsizing and downsizing based on demand
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Auto-suspend timer tuning for idle warehouses
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Multi-cluster scaling behavior adjustments
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User-defined SLA guardrails per warehouse or team
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Latency and queue depth monitoring to detect degradation
Use Cases
Cutting Idle Compute Spend
A team paying for warehouses that sit mostly idle can let Keebo shorten idle timeouts and downsize as demand falls. Snowflake credit or DBU consumption drops without manual tuning.
Protecting Dashboards During Spikes
When user activity surges, query queues grow and dashboards slow down. Keebo upsizes compute when thresholds are breached, then scales back after the burst.
Aligning Finance and Engineering
Workload Intelligence gives both groups shared dashboards and savings reports. Everyone sees where spend goes and which fixes rank highest.
Cleaning Up Unused Tables
Workload Intelligence flags unused or unread tables. Teams can then review retention and data lifecycle policies to reduce storage bloat.
Freeing Engineers From Tuning
Engineers who spend hours each week resizing warehouses can hand that work to an always-on system. PayJoy’s head of analytics says she now logs in only every few weeks.
Strengths & Weaknesses
Strengths
Out-of-band operation keeps Keebo outside the query execution path.
Pay-As-You-Go fees track realized savings, with no minimum spend.
Metadata-only access keeps query results and PII out of reach.
No query rewriting, code changes, or SDK installs are required.
SOC 2 Type II certification and isolated Kubernetes clusters protect each customer.
Weaknesses
Public materials mention only Snowflake and Databricks, so BigQuery or Redshift users appear unsupported.
Workload Intelligence only recommends, so engineers still fix query, data, and storage issues manually.
Pay-As-You-Go costs vary with savings, so fixed budgets require the Enterprise Subscription.
Setup requires a dedicated database user and role with metadata access permissions.
Who Is This For?
Data Engineering Teams: Teams that spend hours resizing warehouses and adjusting timeouts, and want that tuning automated.
FinOps Teams: Practitioners who need shared visibility into data cloud spend and ranked savings opportunities.
Analytics and Platform Leaders: Leaders who need consistent dashboard speed for end users while controlling compute budgets.
Security-Conscious CTOs: Executives who want cost optimization from a metadata-only, SOC 2 Type II vendor with private network options.
Frequently Asked Questions
Does Keebo rewrite or modify my queries?
No. Keebo tunes the warehouse your queries run on, so your SQL, data, and schema stay untouched.
What data does Keebo access?
Keebo reads metadata only: schema, table names, and query performance statistics. It never sees query results, raw data, or PII.
How long does Keebo take to set up?
Setup takes about 30 minutes, with no agents to deploy. Keebo begins learning your workload right after connecting.
What is the difference between Warehouse Optimization and Workload Intelligence?
Warehouse Optimization acts autonomously to rightsize compute within your SLAs. Workload Intelligence surfaces prioritized recommendations that your team chooses how to act on.
Can I apply different rules to different warehouses?
Yes. You can set different optimization settings and guardrails per warehouse, or exclude specific warehouses and workloads entirely.
Can I buy the two modules separately?
Yes. Keebo sells Warehouse Optimization and Workload Intelligence individually or bundled in an Enterprise Subscription.
How do I budget when the fee varies with savings?
Teams that need fixed, predictable costs can move to the Enterprise Subscription. Keebo says many teams start on Pay-As-You-Go first.
Does Keebo work with AWS, Azure, and Google Cloud?
Keebo states it is compatible with all three. Private connectivity options include AWS PrivateLink, Azure Private Link, and Google Cloud Private Service Connect.
No third-party tool integrations are publicly listed. Keebo connects directly to Snowflake and Databricks, and it works with AWS, Azure, and Google Cloud deployments, including private network connectivity.