Regatta is a transactional and analytical database that executes parallel queries, enabling applications to operate with reduced code complexity and faster deployment times. It addresses the challenges of scaling and performance in traditional databases by providing strong ACID compliance and seamless integration of transactional and analytical workloads.
Funding
$58.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern applications require databases that can handle both transactional and analytical workloads efficiently, but traditional databases often struggle to scale and maintain strong ACID compliance while delivering real-time analytics. This leads to complex architectures with separate systems for OLTP and OLAP, increasing development overhead and data latency. Sharding further complicates matters, limiting JOIN operations and hindering application agility.
Solution
Regatta is a distributed SQL database designed for high-performance transactional, analytical, and agentic AI workloads, providing strong ACID compliance at any scale. Its OLxP architecture allows applications to perform both OLTP and OLAP operations without compromising performance or consistency, eliminating the need for separate systems and ETL processes. Regatta offers total elasticity, enabling non-disruptive modifications and simplifying complex data environments. As a drop-in replacement for Postgres, Regatta reduces code complexity and accelerates deployment times, allowing developers to focus on building features rather than managing database infrastructure.
Target Audience
Regatta targets application developers, data engineers, and database administrators building modern, data-intensive applications that require high performance, scalability, and strong data consistency, particularly those in financial services, e-commerce, and AI-driven industries.
Features
- Distributed architecture for horizontal scalability and high availability
- Strong ACID properties ensuring data consistency and reliability
- OLxP capabilities enabling real-time analytics on transactional data
- Support for multiple data types, including vectors, for AI workloads
- Drop-in replacement for Postgres, minimizing migration efforts
- Total elasticity for non-disruptive schema changes and upgrades
- Distributed SQL for standard and powerful query language
- Linear scalability for resource-efficient performance