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SurrealDB San Francisco

4.8•4 ratings

San Francisco, CA, US

About us

👋 Whether you've just discovered SurrealDB or are an early adopter, you're invited to our SurrealDB San Francisco to connect with fellow users and the SurrealDB team at San Francisco meetups.

Help us tailor our events by taking our member survey.

What is SurrealDB?
SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.
📺 Check out Fireship's 'SurrealDB in 100 seconds video' or join our vibrant Discord community.

Get started with SurrealDB
👉 Get started guide - Your step-by-step guide to start using SurrealDB.
🎓 SurrealDB Fundamentals course - An introduction to SurrealDB to get you started with the basics.
🎩 Surrealist - Start using SurrealDB straight away with our custom-built dashboard, where you can spin up a local development database with a single click or play around with sample data in the sandbox.
📝 Documentation - Easy access to our popular documentation so you have all the information you need.

Community spotlight
🗣️ Working on an interesting project with SurrealDB? We’re inviting members of the community to speak about their projects at our meetups.
Register here.

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SurrealDB
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👚 Surreal.store

Upcoming events

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Network event
Live webinar: Architecting Agentic Data Planes
Wed, Mar 4 · 12:00 PM PST
·
Online
Online
2 attendees from 5 groups
## Please note - to reserve a spot for this webinar you must register at: https://sdb.li/4tIXaBo

Architecting Agentic Data Planes: Lessons from OpenAI’s Billion Dollar Postgres Mistake

OpenAI’s PostgreSQL scaling story is impressive engineering. It’s also a cautionary tale.

Agentic AI systems introduce high write concurrency, bursty traffic patterns, and blended transactional + retrieval workloads. Traditional database architectures weren’t designed for this shape.

In this live webinar, we'll break down:
- The architectural constraints that surface at scale
- The operational cost of “just making it work”
- Why AI workloads magnify single-writer bottlenecks
- What a natively distributed, horizontally scalable data plane looks like
- How to serve transactional and AI workloads from one live dataset - without duct tape
Speaker

Matthew Penaroza
Head of Solution Architecture, SurrealDB
Matthew Penaroza is Head of Solution Architecture at SurrealDB, where he helps design and scale distributed AI systems for global enterprises. As the solutions architect behind the core database systems at companies such as Plaid, Uber, and Atlassian, he brings firsthand insight into how the world’s largest organizations design data infrastructure and how those same architectural principles can be applied to AI systems that demand context precision and intelligent data management.