As enterprises adapt to a world where data fuels every decision, they’re grappling with challenges that can make or break their AI strategies. How do you guarantee data sovereignty without compromising on flexibility? How do you integrate diverse data types from various sources to drive actionable insights? How do you modernize your data infrastructure to fully harness the power of AI?
We’re coming to you live from Dubai at GITEX Global, the world’s premier tech and AI event, where these questions are driving the discussions at our booth. Here’s how EDB Postgres AI tackles these challenges head-on to set new standards in enterprise data management.
Sovereign AI: Control without compromise
Data sovereignty is a top priority for every organization today, especially those in highly regulated sectors like finance and healthcare. These industries need AI deployments that are secure, compliant, and adaptable. EDB Postgres AI’s sovereign AI capabilities offer precisely that: complete control over your data with deployment flexibility across private, on-prem, and hybrid cloud environments.
We’re on the floor showcasing how EDB Postgres AI supports a model-to-data approach, bringing AI models directly to well-governed data within Postgres. With advanced security features like role-based access control (RBAC), row-level security, and transparent data encryption (TDE), attendees are seeing firsthand how they can achieve enterprise-grade security while retaining the flexibility to freely adapt their AI strategy over time.
Real-time insights across all data types
For organizations managing structured, semi-structured, and unstructured data, the ability to perform real-time analysis across data types isn’t just nice to have; it’s critical. This is where our omni-data approach comes in, making it easier for businesses to gather insights across all data without relying on separate systems.
We’re demonstrating how EDB Postgres AI’s Postgres Lakehouse architecture and Columnar Query Engine enable faster analytical processing and reduce storage costs by up to 18x. These capabilities allow businesses to break down data silos, streamline ETL processes, and make data instantly available for decision-making. The potential for quick, actionable insights is a standout for attendees looking to stay competitive in fast-paced sectors like retail and finance.
Evolving beyond legacy systems
It came as no surprise to hear that so many organizations are still struggling with the limitations of legacy systems; they’re looking for a way to modernize without rewriting everything. EDB Postgres AI provides tools that drastically simplify migration from legacy databases, reducing the need for rewrites by up to 95%.
Our Migration AI Copilot has been a focal point in our discussions. It identifies bottlenecks in real time and provides suggestions for optimizing the transition. Attendees from various sectors, including finance and government, have expressed interest in how they could maintain critical applications while gradually shifting to a more flexible, cost-effective platform. We’re helping them do just that: Update their tech stack without an overwhelming overhaul.
Performance you can actually measure
Performance is another critical area where businesses are looking for real, measurable improvements. By running EDB Postgres AI on Supermicro hardware, we’ve benchmarked gains that are tough to ignore. We’re talking 6x the transaction throughput of community Postgres, with up to 90% better value compared to Amazon EC2.
The benchmarking process involved running extensive tests with HammerDB to capture metrics like new-orders-per-minute (NOPM). These figures give a clear picture of how much businesses stand to gain by optimizing their Postgres environments. For companies looking to justify their investment with hard numbers, EDB Postgres AI on Supermicro provides both the performance and cost-efficiency they need.
Scaling seamlessly with Kubernetes
Scaling and managing containerized applications across hybrid and multi-cloud environments isn’t a simple task, but it’s becoming increasingly necessary. The conversations we’ve had reflect a strong interest in the automation and reliability that EDB Postgres AI on Kubernetes offers. Our platform’s Kubernetes operator enables dynamic scaling, automated failovers, and simplifies distributed cluster management, which is crucial for maintaining consistent performance.
Built-in observability tools and native log management integrations provide real-time monitoring, even as environments scale. The flexibility to deploy on platforms like Red Hat OpenShift or IBM Power makes it easier for enterprises to maintain control without being locked into a single vendor. Attendees looking to streamline their cloud-native applications have been drawn to these features, which make managing complex environments much more manageable.
Come see EDB Postgres AI in action
The feedback we’re hearing at GITEX ultimately underscores a growing demand for solutions that are both flexible and powerful. EDB Postgres AI checks all the boxes, helping organizations address complex data challenges with a platform that’s both versatile and secure. If you’re at the event, come visit us and see firsthand how we’re transforming data management. You can also explore our demo page to dive deeper into how EDB Postgres AI can support your organization’s data and AI initiatives.