Glauber Costa, CEO of Turso, discusses the journey from a database enthusiast to CEO, forking SQLite to build a community, developing libSQL for serverless environments, implementing vector search embedding for AI, and future plans for libSQL and Turso.
Terso's evolution from Chisel Strike to Terso emphasized embedded replicas and serverless compatibility for efficient data storage.
The concept of embedded replicas allowed for local read operations and remote writes, enabling practical and scalable data handling.
Terso's integration of manual vector search into SQL queries enhances AI application functionality and efficiency.
Deep dives
Introduction and Background of Glauber and Terso
Glauber, CEO of Terso, discusses his journey from a software enthusiast to CEO of a database company. Starting with his roots in Linux kernel contribution, his shift to database development, and founding Terso.
Evolution of Terso and Transition to LibSQL
Starting as Chisel Strike, Glauber details the journey towards forking SQLite into libsequel which enabled replication and flexibility in data storage. The community's feedback led to the transformation from Chisel Strike to Terso, emphasizing the importance of embedded replicas and serverless compatibility.
Innovation in Embedded Replicas and its Impact
The concept of embedded replicas revolutionized data storage, offering local read operations and remote writes for efficient utilization. By enabling databases per user context and leveraging native replication, Terso facilitated a practical and scalable approach to data handling.
Advancements in Vector Search and Replication
Terso's recent focus on integrated manual vector search into SQL queries provides enhanced functionality and efficiency for AI applications. Future plans include offline writes, further improvements in vector operations, and ongoing community-driven initiatives.
Looking Forward and Glauber's Future Engagement
Glauber's commitment to fostering the growing community around Terso and libSQL underscores the collaborative approach to enhancing database capabilities. Expectations for upcoming developments encompass offline write capabilities, vector search refinements, and continued dedication to empowering users in data management.