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.
Xata team in Mallorca
This is the new gold standard for frontend and backend workflow. Preview your @vercel frontend alongside your @xata​base, with schema changes and automatic (and safe!) data staging. xata.io/blog/preview-d…
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

Shay Banon

Shay Banon

Co-founder & CTO, Elastic

Neha Narkhede

Neha Narkhede

Co-founder, Confluent

Guillermo Rauch

Guillermo Rauch

Founder & CEO, Vercel

Elad Gil

Elad Gil

Co-founder, Entrepreneur

Mathias Biilmann

Mathias Biilmann

Co-founder & CEO, Netlify

Erica Brescia

Erica Brescia

Co-founder, Bitnami

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