Agentic Optimization for Autonomous Data Cloud Efficiency
Automatically Unlock Data Cloud Efficiency
Keebo continuously optimizes Snowflake and Databricks warehouses and workloads to maximize compute efficiency, deliver predictable performance, and accelerate engineering velocity.
Engineered for Business Impact
Most tools stop at visibility and reporting. Keebo turns optimization into an
autonomous system with agentic AI and workload intelligence.
5
Layers of Performance Protection
27%
Average Verified Cost Savings
100+
Engineering Hours Reclaimed Monthly
Engineered for Business Impact
Most tools stop at visibility and reporting. Keebo uses agentic AI to automate optimization, with workload intelligence as a bonus.
5
Layers of Performance Protection
27%
Average Verified Cost Savings
100+
Hours Reclaimed Monthly
Fund Innovation.
Minimize Operational Overhead.
Agentic AI
Autonomous Cloud Data Warehouse Optimization
Real-time warehouse tuning that maximizes performance and efficiency without manual intervention, query rewriting, or SLA risk.
Data Platform Observability and Reporting
Full visibility into query behavior, bottlenecks, and inefficiencies to surface optimization opportunities and align data and FinOps teams.
Accelerate Innovation.
Minimize Operational Overhead.
Agentic AI
Autonomous Cloud Data Warehouse Optimization
Real-time warehouse tuning that maximizes performance and efficiency without manual intervention, query rewriting, or SLA risk.
Data Platform Observability and Reporting
Full visibility into query behavior, bottlenecks, and inefficiencies to surface optimization opportunities and align data and FinOps teams.
Three Architectures, One Clear Winner
Even among autonomous solutions, architecture matters. Inline approaches sit directly in the execution path, adding complexity and potential risk. Out-of-band platforms operate independently, enabling continuous optimization without becoming a dependency for production workloads.
Inline Rewrite / SDK
Lives inside your application’s query path
Sees and modifies your SQL text
Adds rewrite latency
Requires code changes or SDK work
Connection Proxy
Single point of failure for all traffic
Sees query text and result data
Network hop adds latency
Every connection must be repointed
Keebo: Metadata Only
Operates outside the query path
Never sees query text or result data
Zero added latency
No code changes required
Three Architectures, One Clear Winner
Even among autonomous solutions, architecture matters. Inline approaches sit directly in the execution path, adding complexity and potential risk. Out-of-band platforms operate independently, enabling continuous optimization without becoming a dependency for production workloads.
Inline Rewrite / SDK
Lives inside your application’s query path
Sees and modifies your SQL text
Adds rewrite latency
Requires code changes or SDK work
Connection Proxy
Single point of failure for all traffic
Sees query text and result data
Network hop adds latency
Every connection must be repointed
Keebo: Metadata Only
Operates outside the query path
Never sees query text or result data
Zero added latency
No code changes required
Trusted by Modern Data Teams
“We’ve seen 50% to 70% savings on our customer engagement application usage. Without Keebo, the cost of this particular product would be unsustainable.”
Nick Booth
Head of Backend Engineering
“Keebo’s automated optimizations have been a huge win for us. We saw a 50% reduction while empowering our team to focus on delivering value to our customers.”
Matt Browning
AVP of International & Business Services
“With Keebo, I log in for a few minutes every few weeks just to see what Keebo is saving us. Before Keebo, I spent hours on manual optimizations every week.”
Trish Pham
Head of Analytics
“Our three considerations were: Does [Keebo] cost less than the money we’ll save? Does it impact query performance? And does it take a lot of manpower to maintain? And the answer to all three was exactly where we wanted them to be.”
Joe Wilson
CTO
“We’ve seen 15% in Snowflake savings, plus huge time savings for our engineers. Keebo gives us confidence that we’re running efficiently and lets each team manage their footprint with visibility and autonomy.”
Michael Theodoulou
Data Technology Principal
“Keebo takes care of the cost savings our CFO cares about, and allows me to spend time on what’s most valuable.”
Erik Jones
Head of BI and Analytics
Trusted by Modern Data Teams
“We’ve seen 50% to 70% savings on our customer engagement application usage. Without Keebo, the cost of this particular product would be unsustainable.”
Nick Booth
Head of Backend Engineering
“Keebo’s automated optimizations have been a huge win for us. We saw a 50% reduction while empowering our team to focus on delivering value to our customers.”
Matt Browning
AVP of International & Business Services
“With Keebo, I log in for a few minutes every few weeks just to see what Keebo is saving us. Before Keebo, I spent hours on manual optimizations every week.”
Trish Pham
Head of Analytics
Frequently Asked Questions
Setup takes about 30 minutes. We guide you through it, you can use Keebo accounts or Okta SSO, and we only need access to Snowflake and Databricks usage metadata fields that you control.
Keebo Warehouse Optimization constantly monitors and makes dynamic optimizations to various aspects of your settings, such as warehouse size, auto-spend time, and number of clusters. Keebo protects your query performance by performing automated “backoffs” by reverting to your default settings, whenever there is a spike in your workload or query queues are increasing. Further, you can monitor and control all of this as much as you want, or set it and forget it.
Keebo is the pioneer in fully autonomous data cloud optimization. Unlike other tools that just observe and report, Keebo continuously optimizes performance, infrastructure, and costs without requiring 24×7 human oversight.
Even though Keebo is capable of fully automating optimization, it is never a black box. You are always in charge and have fine-grained control over which optimizations will be applied to each warehouse. You also have full control over the timing of the optimizations. In addition, you can see and verify Keebo’s optimizations as well as audit the actions your team members have taken directly in the platform.
By default, Keebo only finds optimizations that are very unlikely to negatively affect query latency. We monitor each warehouse’s performance, and if necessary, we will “backoff” our optimization to ensure performance. Additionally, you can change the settings to make our algorithms more aggressive to save more money, or you can choose more conservative settings to make performance slowdowns nearly impossible. You control this for each warehouse using our intuitive slider bar.
Frequently Asked Questions
Setup takes about 30 minutes. We guide you through it, you can use Keebo accounts or Okta SSO, and we only need access to Snowflake and Databricks usage metadata fields that you control.
Keebo Warehouse Optimization constantly monitors and makes dynamic optimizations to various aspects of your settings, such as warehouse size, auto-spend time, and number of clusters. Keebo protects your query performance by performing automated “backoffs” by reverting to your default settings, whenever there is a spike in your workload or query queues are increasing. Further, you can monitor and control all of this as much as you want, or set it and forget it.
Keebo is the pioneer in fully autonomous data cloud optimization. Unlike other tools that just observe and report, Keebo continuously optimizes performance, infrastructure, and costs without requiring 24×7 human oversight.
Even though Keebo is capable of fully automating optimization, it is never a black box. You are always in charge and have fine-grained control over which optimizations will be applied to each warehouse. You also have full control over the timing of the optimizations. In addition, you can see and verify Keebo’s optimizations as well as audit the actions your team members have taken directly in the platform.
By default, Keebo only finds optimizations that are very unlikely to negatively affect query latency. We monitor each warehouse’s performance, and if necessary, we will “backoff” our optimization to ensure performance. Additionally, you can change the settings to make our algorithms more aggressive to save more money, or you can choose more conservative settings to make performance slowdowns nearly impossible. You control this for each warehouse using our intuitive slider bar.