Ryan sits down with Shireesh Thota, CVP of Azure Databases at Microsoft, to discuss the evolution of databases at Microsoft; Azure’s comprehensive portfolio that includes SQL Server, CosmosDB, and Postgres; and the challenges that come with database architecture, from the importance of cost governance and multi-cloud strategies to the future of databases when it comes to AI.
Ryan speaks with Edo Liberty, Founder and CEO of Pinecone, about building vector databases, the power of embeddings, the evolution of RAG, and fine-tuning AI models.
Jeremy “Jezz” Kellway, VP of Engineering for Analytics and Data & AI at EDB (Enterprise Database), joins Ryan for a conversation about Postgres and AI. They unpack how Postgres is becoming the standard database for AI applications, the importance of managing unstructured data, and the implications of data sovereignty and governance in AI.
Can your database handle a billion customers per month?
Dr. Richard Hipp, creator of SQLite, shares how he taught himself to program, the challenges he faced in creating SQLite, and the importance of testing and maintaining the software for long-term support.
What exactly is a vector database? And how does it relate to generative AI?
Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data?
The benefits that come from serverless computing can be lost if you have to spend your time provisioning hardware for your database.
If you want a fast highway, you should have fewer cars.
We also cover the good kind of database fragmentation.
Databases today are built for Big Data. But what happens when the metadata is bigger?
How Aiven moved from storing metrics in one giant InfluxDB to using horizontally-scalable M3.
