pgEdge Announces pgEdge Starfleet, a New Postgres Cloud Platform to Bridge the AI Prototype to Production Chasm

The First to Combine AI-Native Tooling and a Smooth Developer Experience With Flexible Deployment Options, Data Sovereignty, and Global Scalability

ALEXANDRIA, Va., Sept. 28, 2026 /PRNewswire/ -- pgEdge, the leading open source Postgres company for agentic AI and enterprise applications, today announced pgEdge Starfleet, a new Postgres cloud database platform built to bridge the widening chasm between enterprise AI prototypes and actual AI production applications. pgEdge Starfleet is the first 100% Postgres cloud database platform to combine a smooth developer experience and comprehensive agentic AI tooling with flexible deployment options (including on-premises), data sovereignty, and the ability to scale to highly available, zero-downtime multi-region clusters.

According to research by IDC and Lenovo, only 46% of general AI and agentic AI prototypes reach production, and 82% of organizations need to leverage hybrid or on-premises environments for AI workload deployment. Often, the underlying data infrastructure platforms used for prototyping were never designed to meet stringent enterprise requirements such as security, compliance, high availability, reliability and data sovereignty, including the ability to deploy on-premises, air-gapped or in a private cloud, with full control over where data lives.

Nevertheless, developers have been attracted to these platforms because of the ease of getting started, the developer experience, and their support for agentic AI applications. pgEdge Starfleet closes the AI prototype-to-production gap by combining the experience and features developers love with the capabilities and deployment flexibility enterprises demand.

"Business teams can now use AI coding agents to build apps without waiting on IT," said Mike Leone, VP and principal analyst at Moor Insights & Strategy. "Once one of those apps moves to production, its database needs the same security and uptime standards as any other core system."

"pgEdge Starfleet allows developers to build at AI speed and then deploy anywhere, without finding themselves at an architectural dead end," said Phillip Merrick, CEO of pgEdge. "Only with pgEdge Starfleet is it possible to start for free with a single small Postgres instance, then scale all the way up to multi-region clusters running on our cloud, your cloud or on your own on-premises infrastructure."

What Sets pgEdge Starfleet Apart

• Comprehensive Agentic AI tooling. pgEdge Starfleet incorporates the pgEdge Agentic AI Toolkit for Postgres, which includes a full-featured MCP server, making it easy to connect agentic code generators such as Claude Code, Replit and Cursor. A dedicated RAG API server supports retrieval-augmented generation (RAG) of text based on content within a PostgreSQL database, using pgvector. A PostgREST API server supports database access directly from browser clients using PostgREST, a pattern popular with certain agentic code generators like Lovable.

• True copy-on-write fast database branching. pgEdge Starfleet provides true copy-on-write database branching to support parallel agentic experiments in addition to easing support for separate development, testing and staging databases, or aligning with branches in GitHub source code repositories. Unlike other solutions, pgEdge has implemented this capability without replacing the Postgres storage layer with its own proprietary or semi-proprietary storage layer.

• Smooth developer experience. Initial sign-up for a free trial — without a credit card — and creation of your first database takes under two minutes. Connect to your database instance right away. Easily add MCP and RAG servers, and optionally enable PostgREST API access to your database. Add a credit card and select your instance size. Pricing is simple, flat and predictable, and starts at $25/month.

• Flexible deployment options. Developers start fast on pgEdge-hosted infrastructure, then choose to deploy in production either on the pgEdge Cloud, the enterprise's own tightly controlled cloud, or on on-premises infrastructure, even if air-gapped. When deploying on-premises or self-hosted via pgEdge Enterprise Postgres, customers can utilize pgEdge's curated array of platform binaries — compiled, tested and validated for their specific hardware and OS environment. No other vendor offers this choice, allowing customers to meet their data sovereignty requirements while running applications on the same identical Postgres platform across cloud and on-premises.

• Secure by default. pgEdge has drawn on years of working with some of the largest and most demanding enterprise Postgres users to design pgEdge Starfleet as "secure by default." This includes ensuring users' database infrastructure is not wide open to the internet by default, relying on IP allowlisting to restrict access to authorized applications. The MCP server integrated into pgEdge Starfleet incorporates numerous security and governance guardrails, including the ability to ensure read-only connections are truly read-only via pgEdge SafeSession.

• Global scalability. Developers can start with a single instance of Postgres, scale through an array of ever larger compute sizes, then ultimately grow to a multi-region cluster for high availability and zero downtime.

• 100% pure open source Postgres. pgEdge Starfleet utilizes pgEdge Enterprise Postgres, which itself is 100% based on standard community Postgres. All included pgEdge and third-party-developed extensions are open source under the PostgreSQL license or OSI-approved equivalent. The source code for pgEdge developed extensions is available at the pgEdge GitHub page, https://github.com/pgedge.

• Supported by people who help build Postgres itself. Members of the pgEdge team are active members of the Postgres community and include a core team member, major and significant contributors, authors of popular Postgres books, and board members of the regional Postgres community associations in North America and Europe.

"AI is core to our business, so we need infrastructure that lets developers move fast without adding complexity," said Arnaud Jaspart, CTO, Enquire AI. "pgEdge gives us a familiar, standard Postgres experience with built-in AI capabilities like RAG and MCP, which makes working with agents simpler and safer. We run pgEdge in a hybrid cloud environment, which gives us control over where our data resides and how it is managed. We also have the flexibility to use managed cloud, customer cloud or on-premises deployments as our needs change."

Availability

pgEdge Starfleet is available now, and users can sign up for a free 14-day trial at www.pgedge.com/products/starfleet.

Documentation is available at docs.pgedge.com. To learn more, watch the brief pgEdge Starfleet Quickstart video at www.youtube.com/watch?v=XSDZHfW-5XM.

About pgEdge

pgEdge, the leading open source enterprise Postgres company for AI, delivers 100% Postgres infrastructure for agentic AI and other enterprise applications that demand high availability, reliability and data sovereignty. Our mission is to make it easy to build, deploy and manage enterprise-grade AI and other applications at scale on Postgres. pgEdge is trusted by organizations including Bertelsmann, Qube RT, Thales, and U.S. government agencies. Our team are active members of the Postgres community and include a core team member, significant contributors, members of the PgUS, PGCA and PGEU boards, along with conference and user group organizers. For more information, visit www.pgedge.com and follow the company on LinkedIn.

PostgreSQL is a trademark of the PostgreSQL Community Association of Canada. All other trademarks are the property of their respective owners.

Tags: pgEdge, pgEdge Starfleet, Postgres, PostgreSQL, pgEdge Enterprise Postgres, pgEdge Cloud, pgEdge Agentic AI Toolkit for Postgres, AI, artificial intelligence, agentic AI, developers, open source, data sovereignty, Phillip Merrick

View original content to download multimedia:https://www.prnewswire.com/news-releases/pgedge-announces-pgedge-starfleet-a-new-postgres-cloud-platform-to-bridge-the-ai-prototype-to-production-chasm-302890970.html

SOURCE pgEdge