Keebo: AI-powered optimization for data warehouse costs
Frequently Asked Questions about Keebo
What is Keebo?
Keebo is an AI-powered platform designed to optimize data warehouse costs for Snowflake and Databricks. It monitors query and workload data in real-time and makes adjustments to settings such as warehouse size, query routing, and workload tuning to save on expenses while maintaining performance and SLAs. Keebo offers fully autonomous operation or can be operated with human oversight, allowing organizations to choose their preferred level of automation. The platform provides verifiable savings, guarantees performance, and requires minimal setup time. User control and transparency are emphasized, with options to audit and verify Keebo's decisions. Real-world case studies suggest significant cost reductions, often exceeding 27%, achieved without impacting query speed or efficiency.
Key Features:
- AI-driven
- Real-time optimization
- Verifiable savings
- Autonomous operation
- Performance guarantee
- User control
- Integration ready
Who should be using Keebo?
AI Tools such as Keebo is most suitable for Data Engineers, Data Analysts, Data Scientists, BI Managers & Cloud Architects.
What type of AI Tool Keebo is categorised as?
What AI Can Do Today categorised Keebo under:
How can Keebo AI Tool help me?
This AI tool is mainly made to optimization. Also, Keebo can handle monitor workloads, adjust settings, optimize costs, ensure slas & automate tuning for you.
What Keebo can do for you:
- Monitor workloads
- Adjust settings
- Optimize costs
- Ensure SLAs
- Automate tuning
Common Use Cases for Keebo
- Automatically reduce warehouse costs without manual intervention
- Optimize query performance and resource allocation
- Monitor real-time usage for cost control
- Automate workload tuning with AI
- Ensure performance SLAs are maintained
How to Use Keebo
Keebo is easy to set up. It requires about 30 minutes for initial configuration through a guided setup. You link your Snowflake or Databricks environment by providing access to usage metadata. Once configured, Keebo automatically monitors query performance and workloads, then adjusts settings like warehouse size and query routing to optimize costs and performance, either autonomously or with manual recommendations.
What Keebo Replaces
Keebo modernizes and automates traditional processes:
- Manual cost optimization efforts
- Static warehouse sizing
- Conventional monitoring tools
- Basic recommendations without automation
- Manual workload tuning
Additional FAQs
How do I set up Keebo? What access does it require?
Setup takes about 30 minutes. It requires access to your Snowflake or Databricks usage metadata. The process involves connecting your data environment through a guided setup, after which Keebo automatically begins monitoring and optimizing.
Does Keebo impact query performance?
Keebo is designed to optimize costs without affecting query performance. It monitors each warehouse and can back off optimizations if necessary to maintain SLAs. You have control over the aggressiveness of optimization.
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Getting Started with Keebo
Ready to try Keebo? This AI tool is designed to help you optimization efficiently. Visit the official website to get started and explore all the features Keebo has to offer.