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.
Your choice to support your needs
Enterprise-grade Postgres for non-distributed and distributed applications
Production-ready Postgres for the enterprise with distributed-ready extensions
Premium 24x7 Postgres support
Core Postgres extensions for administration
100% Open Source Postgres
Business use and distributed-ready extensions
Fully distributed Postgres for modern globally distributed applications
Multi-master architecture
Global high availability
100% open source Postgres
Full 24x7 expert Postgres support
Ready to deploy where you want: bare metal through fully managed cloud
Self-managed bare metal or virtual machines
For use with Kubernetes, Docker, Docker Swarm and OpenShift
Self-managed or fully-managed on AWS, Google Cloud or Azure
Dive deeper into pgEdge
How to Unleash Ultra High Availability and Zero Downtime Maintenance with Distributed PostgreSQL
How Multi-Master Distributed Postgres Solves High Availability and Low Latency Challenges
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Experience the magic of pgEdge for non-distributed and distributed Postgres deployments.