Timescale to TigerData: PostgreSQL Evolution
- TigerData, previously known as Timescale, has announced its conversion into a platform focused on delivering what it calls the "fastest PostgreSQL platform for modern workloads." This shift reflects...
- Ajay Kulkarni, co-founder and CEO of TigerData, said modern applications require a new type of operational database to handle vast data streams, real-time analytics, and clever agents.
- The company, which made its name extending PostgreSQL for time-series and real-time analytics, now supports more than 2,000 customers in over 25 countries, managing over 3 million active...
TigerData, formerly Timescale, boldly unveils its evolution, promising the “fastest PostgreSQL platform” for contemporary demands. This change sees a dedicated focus on empowering developers wiht the tools to build real-time, agent-based, and analytical applications efficiently. The platform, boasting over 2,000 customers across 25+ countries and backed by $180 million, provides speed alongside functionality. It aims to modernize the existing primary_keyword without altering its core structure, ensuring developers can leverage features like horizontal scaling and low-latency vector search. News Directory 3 recognizes the meaning of this shift.With real-world applications spanning AI, fintech, and media, TigerData is poised to revolutionize data infrastructure. Explore the future with ”Agentic postgresql.” Discover what’s next …
TigerData Rebrands, Unveils PostgreSQL Platform for Modern workloads
Updated June 17, 2025
TigerData, previously known as Timescale, has announced its conversion into a platform focused on delivering what it calls the “fastest PostgreSQL platform for modern workloads.” This shift reflects the company’s mission to empower developers in building real-time, agent-based, and analytical applications using PostgreSQL.
Ajay Kulkarni, co-founder and CEO of TigerData, said modern applications require a new type of operational database to handle vast data streams, real-time analytics, and clever agents. He added that TigerData is designed to provide speed without compromising functionality.
The company, which made its name extending PostgreSQL for time-series and real-time analytics, now supports more than 2,000 customers in over 25 countries, managing over 3 million active databases globally.The move to TigerData highlights the company’s growth and dedication to providing innovative solutions.
tigerdata aims to modernize PostgreSQL without altering its core structure, enabling developers to create faster and smarter applications within a familiar ecosystem. This includes horizontal scaling, petabyte compression, hybrid row-columnar engines, and low-latency vector search, all accessible through tiger Cloud, its cloud-native platform.
The company emphasizes that these features are already in use at a global scale, highlighting the platform’s reliability.TigerData is also focused on unifying operational and analytical data, allowing developers to query across both using standard SQL.
lucid Motors uses TigerData for real-time telemetry processing for autonomous driving. Hugging Face and Mistral rely on it for AI infrastructure. Financial institutions such as Barclays and publishers like the Financial Times use it for time-sensitive analytics and semantic search.
TigerData’s ability to manage high-ingest workloads and advanced analytical queries gives it a competitive advantage across industries, including AI, fintech, industrial IoT, and media. The company is backed by $180 million from investors, supporting its mission to advance PostgreSQL and establish itself as the data layer for modern applications. This funding validates the hybrid database approach, as enterprises seek unified platforms for analytics, transactions, and AI workflows.
Looking ahead,TigerData is developing “Agentic PostgreSQL,” integrating memory,retrieval,and reasoning as core features.
The rebrand from Timescale to TigerData represents a broader vision, positioning the company as a key component of modern data infrastructure, encompassing real-time analytics, AI agents, and intelligent search.
“Speed, flexibility, and simplicity—delivered together, on a foundation they already trust: PostgreSQL,” Kulkarni said.