35% of enterprise leaders will consider Postgres for their next project, based on internal research conducted by EDB, which also revealed that out of this group, the great majority believe that AI is going mainstream in their organization. Add to this, for the first time ever, analytical workloads have begun to surpass transactional workloads. Enterprises see the potential of Postgres to fundamentally transform the way they use and manage data, and they see AI as a huge opportunity and advantage. But the diverse data teams within these organizations face increasing fragmentation and complexity when it comes to their data. To operationalize data for AI apps, they demand better observability and control across the data estate, not to mention a solution that works seamlessly across clouds.
It’s clear that Postgres has the right to play and deliver for the AI generation of apps, and EDB has taken recent strides to do just this with the release of EDB Postgres AI, an intelligent platform for transactional, analytical, and AI workloads. The new platform product offers a unified approach to data management and is designed to streamline operations across hybrid cloud and multi-cloud environments, meeting enterprises wherever they are in their digital transformation journey. EDB Postgres AI helps elevate data infrastructure to a strategic technology asset, by bringing analytical and AI systems closer to customers’ core operational and transactional data—all managed through the popular open source database, Postgres.
Rapid Analytics for Transactional Data
Analysts and data scientists need to launch critical new projects, and they need access to up-to-the-second transactional and operational data within their core Postgres databases. Yet these teams are often forced to default to clunky ETL or ELT processes that result in latency, data inconsistency, and quality issues that hamper efficiency-extracting insights.
EDB Postgres AI introduces a simple platform for deploying new analytics and data science projects rapidly, without the need for operationally expensive data pipelines and multiple platforms. EDB Postgres AI’s Lakehouse capabilities allow for the rapid execution of analytical queries on transactional data without impacting performance, all using the same intuitive interface. By storing operational data in a columnar format, EDB Postgres AI boosts query speeds by up to 30x faster compared to standard Postgres and reduces storage costs, making real-time analytics more accessible.
Enterprise Observability and Data Estate Management
Even if data teams have made Postgres their primary database, chances are their data estate is still sprawled across a diverse mix of fully-managed and self-managed Postgres deployments. Managing these systems becomes increasingly difficult and costly, particularly when it comes to ensuring uptime, security and compliance.
The new capabilities of the recent EDB release will help customers create and deliver
