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.