Postgres at scale
Our mission is to address the challenges that organizations face when developing with Postgres at scale. When we say "scale", we don't only mean technical metrics like data volume, number of CPUs, GB of RAM, or vertical/horizontal scaling capabilities. While these are included in our definition of "at scale", we also mean organizational challenges such as:
- Zero-downtime requirements when applying schema changes or major version upgrades.
- Testing database changes on realistic data sets that resemble the production data, but without any PII or sensitive data in them.
- Cost-efficient and fast ephemeral environments for developers.
- Security and compliance for companies that deal with sensitive data.
This is the new gold standard for frontend and backend workflow. Preview your @vercel frontend alongside your @xatabase, with schema changes and automatic (and safe!) data staging.
One of the things I love about using @xata is their UI Makes it so easy to manage data on-the-fly 👏 And this works beautifully with their Postgres solution being able to easily adapt your table for interaction
Checking out @xata as a DB to store + query vector embeddings . Big fan so far, great typescript integration. Ran 30,000 updates on the free plan in ~10 mins and instead of rejecting with a rate limit, they just delay the response a ~1s. No extra code needed on my end
Backed by world-class
investors and operators
Andreas Klinger
CTO, On Deck
Charlie Songhurst
Ex Head of Corporate Strategy, Microsoft
Christian Bach
Co-founder & co-CEO, Netlify
Elad Gil
Co-founder, Entrepreneur
Erica Brescia
Co-founder, Bitnami
Guillermo Rauch
Founder & CEO, Vercel
Keenan Rice
Partner, GM Firebolt
Liu Jiang
Founder, Sunflower Capital
Mathias Biilmann
Co-founder & CEO, Netlify
Neha Narkhede
Co-founder, Confluent
Shay Banon
Co-founder & CTO, Elastic
Stephanie Friedman
Board of Directors, Apollo GraphQL
Uri Boness
Co-founder, Elastic
Postgres for agentic workloads.
Use your existing Postgres. Run it better with Xata.