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Enterprises are modernizing their databases due to latency issues, the need for global uptime, and licensing pressures. PostgreSQL is emerging as a preferred alternative to traditional database solutions like Oracle and SAP, focusing on reliability, control, and efficient management of modern workloads, including AI and edge applications. pgEdge, an open-source Postgres vendor, emphasizes that migration to PostgreSQL is about ensuring flexibility and avoiding vendor lock-in. PostgreSQL's governance model, independent of any single company, is a significant advantage, particularly in light of licensing audits and forced upgrades. PostgreSQL has a large developer community and is a mainstream enterprise technology, with tools like pgAdmin widely used. Concerns about operational burdens with open source are addressed by extensions like pgEdge, which enhance PostgreSQL's capabilities for high availability and seamless multi-cloud deployment. pgEdge operationalizes PostgreSQL for distributed use, automating upgrades, backups, and point-in-time recovery, leading to a lower total cost of ownership compared to proprietary models. Modern applications require edge-native databases to operate close to users, reducing latency. pgEdge supports multimaster PostgreSQL across geographically distributed clusters, allowing local read and write capabilities while maintaining data consistency. It builds on PostgreSQL’s logical replication without forking it, ensuring compatibility and consistency. pgEdge facilitates database automation on Kubernetes, managing backups, recovery, and upgrades, making it easier for platform teams. Organizations can start with a simple setup and scale to a multiregion architecture as needed, using the same PostgreSQL stack throughout. pgEdge offers container builds that cater to enterprise needs for geospatial intelligence and AI workflows. As AI applications increasingly run at the edge, pgEdge provides the necessary performance and coherence for edge-native AI. PostgreSQL's SQL compatibility and ACID compliance ease the migration process from systems like Oracle and SAP. The extensive user base across various sectors simplifies hiring PostgreSQL expertise. Combining PostgreSQL with pgEdge offers a strategic modernization pathway for enterprises needing reliable, Kubernetes-native operations and AI-ready extensions, freeing them from vendor lock-in and high licensing costs. This integration transforms PostgreSQL into a globally distributed, cloud-native control plane for data, benefiting architects, CFOs, and developers alike.