Mike Freedman

Mike Freedman and Ajay Kulkarni, co-founders of Tiger Data, discuss their innovative creation, Agentic Postgres, a database tailored for AI agents. They explain how traditional Postgres struggles with search and scalability when used by agents and introduce concepts like Fluid Storage for instant database forks. The conversation covers the importance of developer-friendly features and the unique capabilities of their MCP server, which enhances model training while ensuring security. They also touch on using Postgres for unstructured data and the future of database tooling.

Ajay Kulkarni and Mike Freedman, co-founders of TimescaleDB, discuss the origins and challenges of building a scalable time series database. They explain how TimescaleDB handles out-of-order data and infrequent sensor connections. They also share insights into marketing and business aspects, including the decision to release the code base as open source, future plans for the enterprise version, and the support and investment structure for the open source business model.

Ajay Kulkarni and Mike Freedman, co-founders of Timescale, discuss how Postgres has evolved into a versatile platform for AI and vector databases. They explore the innovations in Postgres-like database technology, the significance of streaming post filtering, and the evolution of data formats and database usage, including embedding pipelines for AI applications and handling multimodal data.