From: Devrim Gunduz Date: Tue, 2 Sep 2025 21:19:33 +0000 (+0300) Subject: Add EDB interview X-Git-Url: http://git.postgresql.org/gitweb/static/%7B%7Bpgdulink%28?a=commitdiff_plain;h=81cfac4038451dc678e052b540f800027495e17b;p=pgdayuk.git Add EDB interview --- diff --git a/templates/context.json b/templates/context.json index 63bf4eb..91e25ca 100644 --- a/templates/context.json +++ b/templates/context.json @@ -225,7 +225,7 @@ "img": "edb.png", "description": " EDB is committed to building Postgres for the AI generation by providing a modern Postgres data platform for operators, developers, data engineers, and AI builders powering mission-critical workloads. ", "visible": true, - "interview": false + "interview": true }, { "name": "Amazon Web Services", diff --git a/templates/pages/sponsor-interviews/edb.html b/templates/pages/sponsor-interviews/edb.html new file mode 100644 index 0000000..43c2d25 --- /dev/null +++ b/templates/pages/sponsor-interviews/edb.html @@ -0,0 +1,143 @@ +{% extends "sponsorinterview.html" %} + +{% set sponsorname = "EDB" %} + +{%block interviewintro%} +

+ EDB is committed to building Postgres for the AI generation by providing a modern Postgres data platform for operators, developers, data engineers, and AI builders powering mission-critical workloads. +

+{%endblock%} + +{% block interviewcontent %} + +
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How do you see AI changing the database world over the next few years?

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AI is transforming the database from a passive system of record into an active system of +intelligence. In the next few years, databases will need to act as orchestration layers for +generative and agentic AI (storing embeddings, retrieving context, and triggering real-time +inference directly from SQL).

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PostgreSQL’s extensibility is the differentiator here. Its ability to integrate new data types, +indexing methods, and procedural languages means AI capabilities can be built directly into the +database without sacrificing reliability. That allows AI logic to live alongside transactional data +in one trusted system, reducing complexity and letting teams move from raw data to AI-driven +insight without stitching together a dozen separate tools.

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How does your company contribute to and benefit from PostgreSQL?

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We are the largest single contributor to the vitality of PostgreSQL, with engineers working +year-round on core performance, scalability, security, and standards compliance. In PostgreSQL +18, 18 EDB engineers delivered more than 30 patches, and in PostgreSQL 17, 19 of our +engineers contributed 24 features, including built-in incremental backup, major transaction +subsystem performance gains, and enhanced JSON functionality. These upstream +improvements benefit everyone, not just our customers, and help ensure Postgres remains the +most advanced open source database in the world.

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Because our teams are directly involved in building and maintaining the core code, we are +uniquely positioned to help customers when they encounter challenges or need to take +advantage of new features. Their investment in EDB is also an investment back into the future of +Postgres.

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In turn, we build enterprise features, tools, and support around that same core Postgres so +organizations can confidently run mission-critical workloads with these additional +capabilities—without rewriting applications that already run on Postgres or giving up the +openness that makes Postgres thrive.

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What is your PostgreSQL centered product or service?

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EDB Postgres AI is the first enterprise-grade, sovereign data and AI platform built on +PostgreSQL. It unifies four core capabilities: A fully hardened Database for mission-critical +workloads; Hybrid Management for unified control across environments; AI Factory for building +and running GenAI and agentic AI applications; and Analytics Accelerator for high-speed queries +on operational data.

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The result is a single governed environment where organizations can scale Postgres to billions +of transactions, train and serve AI models directly on live data, and meet strict sovereignty +requirements without sacrificing performance or control.

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Why did you choose to sponsor PGDay UK 2025?

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PostgreSQL thrives because of its community, and events like PGDay UK give that community +the space to connect, exchange ideas, and push the technology forward. Sponsoring means +we’re helping make that possible.

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For us, it’s also a chance to be in the room with contributors, partners, and customers who are +shaping how Postgres is used in everything from mission-critical systems to AI-driven +applications. The UK has a vibrant Postgres ecosystem, and we see the innovation coming out +of it influencing global adoption patterns. Supporting PGDay UK is part of our commitment to +keep that momentum going and to make sure Postgres remains the most advanced, reliable, +and adaptable database in the world.

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Which contribution to PostgreSQL from your company are you most excited about?

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One of the most impactful recent contributions is built-in incremental backup, introduced in +PostgreSQL 17 with major engineering from PostgreSQL major contributor and committer and +EDB VP, Chief Database Scientist Robert Haas. This moves incremental backup logic into core +Postgres, eliminating the need for third-party tools and dramatically improving recovery time, +storage efficiency, and operational simplicity.

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For enterprises managing large, frequently updated databases, it means backups can happen +faster and use less space without compromising reliability. It’s the kind of foundational changethat benefits the entire Postgres community and makes disaster recovery planning far more +predictable.

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What do you think are the next biggest challenges for PostgreSQL in the future?​

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PostgreSQL is no longer “just” a relational database but the backbone of mission-critical +systems. It’s the source code base that powers petabyte-scale analytics, real-time AI pipelines, +and ultra-low-latency workloads across industries. In our recent research, 35% of enterprises +said they are evaluating PostgreSQL for their most critical workloads, and among the leaders +who have committed to sovereign data and AI platforms, we’ve seen ROI that’s up to 227% +higher than their peers. That tells us the future is already arriving on Postgres.

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The next challenge is scale. AI factories that demand unified transactional and analytical data, +workloads that stretch across hybrid estates, and global applications that cannot tolerate +downtime or lock-in. The key will be evolving to meet these demands while preserving the very +qualities that made Postgres indispensable in the first place—simplicity, trust, and true +portability.

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If we get this balance right, Postgres won’t just adapt to the AI era. It will define it as the +sovereign data and AI platform enterprises rely on to build their future.

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Question 1 title?

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Answer 1

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Content

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Question 2 title?

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Answer 2

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Content

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+ +{% endblock %}