Geographic scale-out
Support higher throughput
Geographic sharding improves user response times.
Geographic Postgres scale-out
Using the Postgres sharding capabilities of pgEdge supports the geographic scale-out of applications, particularly when Postgres workloads threaten to exceed available compute capacity. While also supporting higher throughput, this approach improves response times and user experience by putting the database closer to end users.
Get started today for free
Build agentic AI apps for Postgres
MCP Server for AI assistant integration,
RAG pipeline with Document Loader, Vectorizer, and RAG Server,
Essential AI extensions
Deploy Postgres on Kubernetes
Single command deploy with pgEdge Helm chart
Works seamlessly with CloudNativePG
Optional local eval with Docker compose
Sign up for fully managed Cloud
Full provisioning, security and monitoring
Access via web dashboard, API, and IaC tools
Bring your own cloud account: AWS, Azure, GCP
Build on prem: VM or bare metal
Simple database operations with Control Plane
Flexible deployment to single or muti-region with zero downtime add nodes
Production ready with same day security updates
Learn more from the community
Sign up to receive the latest news from technical blogs to Postgres live sessions with Postgres community experts.
Dive deeper into pgEdge
Postgres Live: Monthly Series Scaling PostgreSQL: Vertical, Horizontal, and High Availability Strategies
Introducing The pgEdge Postgres MCP Server - And How to Connect it to Claude Code and Cursor
Get started today.
Experience the magic of pgEdge for non-distributed and distributed Postgres deployments.