Datagrit Corp. provides an AI-powered data platform that automates relational database optimization for cloud environments. Its GritKit solution intelligently tunes database parameters and indexes to reduce costs and improve performance, while GritDB offers a unified data environment with a high-performance analytics engine.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle with the complexity and cost of optimizing relational database performance, particularly in cloud environments. Manual tuning of numerous parameters and indexes is time-consuming and requires specialized expertise, leading to suboptimal performance and increased operational expenses.
Solution
Datagrit Corp. offers an AI-powered data platform designed to automate database optimization and enhance analytical capabilities. The GritKit solution leverages artificial intelligence to automatically tune hundreds of database knobs and manage thousands of indexes in response to evolving query workloads. This intelligent automation reduces cloud RDBMS costs and improves overall system efficiency. GritDB, built on this foundation, provides a unified data environment with a dedicated analytics engine, GritSurfer, enabling high-performance data analytics. The platform maintains 100% compatibility with PostgreSQL and MySQL, allowing organizations to harness the benefits of open-source RDBMS while simplifying operations through AI-driven autopilot features.
Target Audience
The primary customers are organizations utilizing cloud RDBMS, including database administrators, data engineers, and IT operations teams seeking to reduce operational costs and improve database performance for intelligent applications.
Features
- GritKit: AI-driven auto-tuning of hundreds of database configuration parameters for peak performance.
- GritKit: Automated management of thousands of indexes, dynamically adapting to query changes.
- GritDB: Integrated GritSurfer analytics engine for high-performance data analysis.
- Autopilot functionality within GritDB for AI-powered tuning of parameters, indexes, and partitions.
- Full compatibility with PostgreSQL and MySQL, preserving open-source RDBMS benefits.
- Generation of daily reports detailing database diagnostics and optimization actions.