Deploying adaptive AI in distributed water plants - Barbara Accoina

pgEdge distributed edge database steps out of beta

pgEdge distributed edge database steps out of beta

pgEdge has announced the general availability of pgEdge Platform, a distributed PostgreSQL database optimized for running at or near the edge and across cloud regions.

After a seven-month beta period, pgEdge supports customers transitioning their applications from development to production on the pgEdge Platform.

“We are excited to announce that pgEdge Platform is now generally available,” says Phillip Merrick, the co-founder and CEO of pgEdge.

The pgEdge Platform says it offers pgEdge distributed PostgreSQL as downloadable software. It can be used on-premises or in the cloud with AWS, Microsoft Azure or Google Cloud Platform.

pgEdge distributed PostgreSQL is a multi-master distributed database system designed to deploy low latency and high availability applications globally. By enabling deployment at the network edge or between cloud regions, the company says it offers reduced data latency, improved customer experiences, and compliance with data residency requirements.

pgEdge says the platform offers a simplified approach to high availability for PostgreSQL users. It provides flexibility in managing workloads and enables rapid failover with nodes capable of handling both read and write traffic.

During the beta period, pgEdge says it gathered feedback from its user and partner community, leading to numerous enhancements and features.

The latest enhancements and features of pgEdge include the Anti-Chaos Engine (ACE), which ensures consistency between database nodes in a distributed cluster. ACE utilizes Merkel trees to compare tables with large amounts of data efficiently, the company says.

Additionally, the pgEdge says its platform now supports synchronous read replicas within regions, providing high availability. This is complemented by cross-region failover and resiliency for maximum availability. The platform also supports pgCat for connection pooling and validated support for pgvector, a popular Postgres extension for machine learning applications.

“With these new features and enhancements, we are pleased to be able to support customers taking their distributed Postgres applications into production,” adds Merrick.

pgEdge says the platform can run on various hardware and operating systems. It can self-host or self-manage existing cloud accounts with enterprise-class support from pgEdge.

A fully managed cloud service called pgEdge Cloud will also be available soon.

In March, pgEdge raised $9 million in a seed funding round, with Sands Capital and Grotech leading the investments.

Article Topics

 |   |   | 


Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Machine learning at the Edge


Latest News