Keebo

Introduction:

Keebo empowers data teams with AI-driven real-time optimization for cloud data warehouses, enhancing performance and reducing costs.

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2024-07-05
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Introduction

Keebo is a cutting-edge AI tool that revolutionizes the way data teams manage and optimize their data warehouses. With a focus on automation and real-time adaptation, Keebo learns from workload changes and optimizes cloud data warehouses and queries effortlessly. The secure data environment and comprehensive KPI dashboard ensure that all results are monitored and measurable. Keebo's user-friendly interface and streamlined operation process make it accessible for users of all levels, allowing them to harness the power of AI with ease.

background

Keebo, founded on over 15 years of research at top universities, has developed patented algorithms essential for optimizing the growing data warehousing market, projected to reach $51B annually by 2028. With a team of experts in machine learning and databases, Keebo has secured $15M in Series A funding and is committed to staying at the forefront of data optimization technology.

Features of Keebo

Automated Dynamic Adjustments

Keebo's AI constantly monitors and dynamically adjusts warehouse size and auto-spend time based on real-time workload analysis.

Predictive Optimizations

Utilizes predictive analytics to adjust resources before query load increases, ensuring optimal performance and cost-efficiency.

Performance Protection

Automated 'backoffs' to default settings during workload spikes protect query performance without manual intervention.

Visibility and Control

Offers fine-grained control and full visibility over optimizations through the Keebo portal, allowing users to monitor and manage AI actions.

Patented Technology

Keebo's patented AI technology has been peer-reviewed by SIGMOD, ensuring transparency and reliability in its algorithms and optimizations.

Real-time Data Learning

Fully automates warehouse and query optimization with data learning technology that operates 24/7 without human intervention.

User Interface Design

Features an intuitive user interface that simplifies the operation process, making it easy for users to engage with the AI tool.

How to use Keebo?

To set up Keebo, access is required to Snowflake's usage metadata fields only, and the setup process takes approximately 30 minutes with guided assistance. Users can create their own Keebo accounts or use Okta SSO for convenience. The Keebo portal provides detailed step-by-step guidance for using the tool, including how to monitor optimizations, set rules, and adjust settings for different warehouses.

Innovative Features of Keebo

Keebo stands out with its ability to fully automate the optimization process in real-time, a feature that sets it apart from other 'observe and report' products. Its patented technology and real-time data learning capabilities allow for unprecedented efficiency and savings in data warehouse management.

FAQ about Keebo

What access does Keebo require to my Snowflake system?
Keebo requires access only to Snowflake’s usage metadata fields, and the Snowflake account for accessing these fields is created by the user.
How does Keebo optimize Snowflake without altering queries?
Keebo makes dynamic optimizations to Snowflake settings such as warehouse size and auto-spend time, and uses automated 'backoffs' to maintain performance during workload spikes.
Is Keebo a black box solution?
No, Keebo provides full transparency and control over optimizations, allowing users to see and verify all actions taken by the AI through the user portal.
Does Keebo affect Snowflake query performance?
Keebo is designed to find optimizations that do not negatively affect query latency. It monitors performance and will 'backoff' if necessary to ensure query performance.
How can I control Keebo's optimization actions?
Users have fine-grained control over optimizations through the Keebo portal, including the ability to set the timing of optimizations and adjust the aggressiveness of the algorithms.

Usage Scenarios of Keebo

Academic Research

Keebo can optimize data warehouse performance for researchers, allowing them to focus on analysis rather than system management.

Market Analysis

In the competitive business environment, Keebo ensures that market analysts have fast and cost-effective access to data for informed decision-making.

Operational Efficiency

Enterprises can leverage Keebo to improve operational efficiency by reducing the time and effort spent on data warehouse management.

Cost Management

Financial institutions can use Keebo to manage and reduce cloud data warehousing costs while maintaining high query performance.

User Feedback

‘I went from ‘this sounds too good to be true’ to ‘this is a no brainer’ after one week of trial.’

‘Keebo’s AI technology has been a game-changer for our data optimization process, providing significant savings and performance improvements.’

‘With Keebo, we have been able to reduce our Snowflake costs by 10-15%, which has had a substantial impact on our budget.’

‘Keebo’s real-time data learning and optimization capabilities have allowed us to focus on strategic initiatives rather than manual optimizations.’

others

Keebo's innovative approach to data warehouse optimization has been recognized in the industry, with its patented algorithms and peer-reviewed technology setting a new standard in the market. The company's commitment to customer success is evident through its extensive documentation, case studies, and proactive customer service.