Speed Without Sacrifice: Building the Modern PostgreSQL for the Analytical and Agentic Era

Tiger Data, formerly known as Timescale, has undergone a transformation from a time-series database to a modern PostgreSQL platform, designed to meet the needs of contemporary analytical and agentic workloads. Over the past eight years, the company has grown significantly, boasting 2,000 customers, substantial annual recurring revenue growth, and $180 million in funding. The renaming reflects its evolution rather than a change in mission, emphasizing its commitment to providing a highly performant database solution without sacrificing speed. Tiger Data serves a diverse range of customers, including major companies such as Nvidia, Tesla, and NASA, offering solutions for real-time analytics, AI-native applications, and more. The company continues to innovate with new features and enhancements, aiming to address the demands of modern applications that require real-time data processing, hybrid operational databases, and seamless integration with the Lakehouse architecture. Tiger Data's rebranding is a recommitment to its mission, inviting developers and customers to engage with its evolving database platform.

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