EDB

Every pipeline, every handoff, every copy of your data adds distance between an event and the decision that follows. At AI scale, that distance has a hefty price tag. IDC predicts 60% of enterprise databases will converge transactional and analytical workloads by 2029. EDB's benchmarks already show what's on the other side: 3x faster time to production, 65% faster time to value. We sat down with our guest, IDC Research Director Devin Pratt, to break down what this shift means for enterprise architecture and how to get ahead of it. 🔗 https://lnkd.in/gedm9X7W #EDBPostgresAI

Crude oil has limited value until it's refined. The same logic applies to enterprise data, and most organizations are sitting on reserves they can't actually use. Transactional, analytical, and streaming workloads have historically lived in separate systems, each with its own infrastructure and governance model. Moving data between them introduces latency and duplication that compounds fast, and insights that arrive after the fact don't drive decisions. Converged analytics solves for that by enabling computation to happen where data already lives. For agentic workloads especially, where models need fresh, governed, contextually rich data to function, this is especially critical. EDB CTO Quais Taraki on why converged analytics has become a prerequisite for enterprises serious about scaling agentic AI, in his latest on CIO Online: https://lnkd.in/ghFX2Arq #EnterpriseAI #AgenticAI #DataSovereignty #EDBPostgresAI

We're still beaming with pride since at #KubeCon + CloudNativeCon Europe in April we were celebrated by the #OpenSSF because we earned all five available badges in the #SecuritySlam: Cleaner, Chronicler, Inspector, Mechanizer, and Defender 💪 https://lnkd.in/gGrHrN9h

After MNTN left Greenplum, the team spent a year running a community fork. That gave them an open source path forward, but it also exposed the operational reality: rough edges, instability, and no one to call when something broke. In this customer impact story, Greg Spiegelberg explains why MNTN ultimately moved to EDB Postgres AI for WarehousePG: an open source, Postgres-based data warehouse with the performance, stability, and enterprise support the team needed in production. Watch the full conversation: https://lnkd.in/g2HHy7vQ #DataWarehouse #Postgres #Analytics #OpenSource #EDBPostgresAI

Charlene Li, bestselling author and advisor on leadership and digital transformation, joined our podcast to talk about what separates AI activity from AI value. Listen to the full episode: https://lnkd.in/gzxMEkAV

12 questions every team should answer before putting AI agents into production. How many can you check off? #AIAgents #EnterpriseAI #DataSovereignty #EDBpostgresAI

Data volumes are growing 40% a year. Cloud analytics costs are growing with them, while architectural flexibility is shrinking. The cloud-first era delivered speed. It also handed control of critical data infrastructure to a handful of vendors. For many organizations, the result is predictable: unpredictable consumption costs, proprietary platforms, and analytics environments they can't fully own or adapt. Sovereign analytics is the response. Infrastructure that delivers cloud-level performance in the environment you choose, on terms you control. Join EDB’s Ava Chawla, MBA and Greg Spiegelberg on May 12 to explore what that shift looks like in practice. 📅 May 12 | 9 AM PT / 12 PM ET 🔗 Register: https://lnkd.in/gB8sE7Bq #EDBPostgresAI #WarehousePG #DataSovereignty #AIAnalytics #BI

CloudNativePG started as an open source project built by a small group of PostgreSQL practitioners who believed Kubernetes could be a genuine home for stateful workloads, not just stateless apps. It's now the reference implementation for running Postgres on Kubernetes, and the conversation around it has shifted from "is this production-ready?" to "how do we build sovereign database infrastructure on top of it?" EDB's Gabriele Bartolini, one of its co-founders and maintainers, talks about where that's heading in a recent piece for The New Stack: https://lnkd.in/gJHz9jbG #EDBPostgresAI #CNPG #OpenSource #PostgreSQL

Today we successfully launched our first Global WarehousePG Workshop in Utrecht 🌎 The session focused on a critical industry shift: Building a sovereign analytics platform at scale. We demonstrated how EDB Postgres AI enables organizations to consolidate transactional, analytical, and AI workloads into a single, unified environment. Hands-on highlights: 🔹Zero-ETL Analytics: Querying Iceberg and Delta tables directly via the PGAA extension. 🔹High-Speed Ingestion: Loading 100M+ records 10–20x faster than standard Postgres. 🔹In-Database Intelligence: Training ML models directly where data lives to maintain data gravity. 🔹Agentic Analytics: Implementing secure, AI-driven insights through integrated vector search. Learn more about WHPG: https://lnkd.in/eAK2JeGe The demand for high-performance, sovereign analytics has never been higher. Thank you to the data leaders and architects who joined us for these deep dives. Grace Trott Jakob Brandel Joost Wasser Franck Sidi Eva Franz Jack Christie Lucie ZENG Miles Richardson Jochem de Greef Jacqui Gelzinus Nikolai Utzon-Meiland #EDBPostgresAI #AIAnalytics #ConvergedWorkloads #EnterpriseAI #AgenticAI #DigitalSovereignty

If you could redesign your data architecture from scratch, what would you do differently? IDC asked organizations across 14 vendors that question. The answers were consistent: rearchitect earlier, govern earlier, monitor costs earlier, and plan for AI from the start. EDB Postgres AI is built around exactly these principles: converged workloads, built-in governance, and cost discipline from day one. We sat down with guest speaker Devin Pratt, Research Director at IDC, to break down what CIOs should be prioritizing right now and what the path forward looks like. 🎥 Watch the full conversation: https://lnkd.in/gedm9X7W