Pstgre Archives

Tech Optimizer

January 31, 2026

Waystar Holding Taps EDB Postgres AI To Power Next‑Phase Growth

Waystar Holding (NasdaqGS:WAY) is integrating EDB Postgres AI into its healthcare payments platform to improve reliability and operational performance. This platform processes transactions for about half of the U.S. patient population. The adoption of EDB Postgres AI is expected to enhance efficiency in serving hospitals, clinics, and insurers. Waystar has previously embraced AI through its AltitudeAI offerings and the acquisition of Iodine Software, aligning with a broader initiative toward AI-driven automation. The partnership with EDB may improve processing reliability and streamline new automation features, but there are risks related to execution and competition from other companies enhancing their AI capabilities. Future metrics to monitor include uptime, processing speed, and the adoption of AI-driven workflows.

Tech Optimizer

January 29, 2026

Aurora PostgreSQL 13 Deadline: Four Upgrade Paths to Beat February Cutoff

Standard support for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL version 13 will end on February 28, 2026. PostgreSQL 13 will be deprecated by the community in November 2025, ceasing to receive bug fixes or security patches. AWS recommends upgrading to newer versions, such as 16 or 17, which offer significant performance enhancements and improved security. PostgreSQL 17 can achieve up to twice the write throughput and consumes 20 times less memory during vacuum operations. Version 16 introduces pg_stat_io for detailed I/O statistics, while version 14 includes a vacuum emergency mode. Aurora-specific enhancements in version 14.9 and later can lead to faster query latency and reduced costs. Version 14 introduces new roles for access control, and version 15 revokes certain permissions. Major upgrades in logical replication include automatic slot synchronization in version 17 and support for parallel apply in version 16. Transitioning between major versions requires careful examination of catalog changes, as some views and configuration parameters will evolve. Extensions must be verified, as most do not auto-upgrade. An in-place major version upgrade can be performed via the AWS Console or CLI, with downtime varying based on database size. AWS recommends snapshot-based testing beforehand. The CLI command can check valid upgrade targets, leading from version 13 to 14, 15, 16, or 17. Preparation involves validating instance classes and dropping replication slots. Amazon RDS Blue/Green deployments allow for near-zero downtime by synchronizing production with a staging environment, enabling application testing before traffic switching. This feature is supported from Aurora PostgreSQL version 13.12 onward. Logical replication through pglogical offers flexibility for minimal downtime, while AWS DMS supports homogeneous migration with Change Data Capture. Extended Support is available for a fee, providing up to three years of security patches. Best practices include replicating production environments in staging, conducting load tests, and validating queries against new catalogs. Recent minor releases, including Aurora PostgreSQL 17.6 and 16.10, showcase ongoing improvements. Engaging AWS Support is advisable for complex setups to ensure seamless transitions before the deadline.

Tech Optimizer

January 28, 2026

Strategies for upgrading Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL from version 13

Standard support for PostgreSQL version 13 will end on February 28, 2026. Upgrading to newer PostgreSQL versions can enhance database performance and introduce new features. Notable enhancements in recent versions include: - Vacuum emergency mode (v14+) to manage old row versions. - Improved I/O performance (v17) with better write throughput. - Enhanced query optimization (v17+) for IN clauses and parallel BRIN index builds. - Memory efficiency improvements (v17) reducing vacuum memory usage. - Advanced monitoring features like pg_stat_io (v16+) and pg_wait_events (v17+). - Logical replication improvements such as failover support and slot migration (v17+). - Developer experience enhancements including JSONB subscripting (v14+) and SQL/JSON JSON_TABLE (v17+). - Security enhancements with new roles for access control (v14+) and maintenance tasks (v17+). For Amazon Aurora PostgreSQL-Compatible, upgrading to versions v14.9+, v15.4+, v16.1+, and higher can yield performance optimizations, including faster query latency and cost savings. Changes in system catalog views and configuration parameters have occurred in PostgreSQL versions 14 to 17, impacting application compatibility. Upgrade strategies include in-place upgrades, blue/green deployments, logical replication, and using AWS Database Migration Service (AWS DMS). If an immediate upgrade is not possible, Amazon RDS Extended Support offers up to three years of continued security patches and bug fixes beyond the standard support end date.

Tech Optimizer

January 28, 2026

EDB Demonstrates Strong Global Momentum and Cross-Industry Adoption of EDB Postgres® AI

MNTN, Waystar, and NTT East have adopted EDB Postgres AI (EDB PG AI) to modernize their data platforms, enabling agentic AI, real-time analytics, and mission-critical operations while maintaining control over data and infrastructure. EDB's Sovereignty Matters research indicates that enterprises focusing on scalable agentic AI prioritize sovereign control of data, hybrid deployment flexibility, and a unified platform for transactions, analytics, and AI workloads. MNTN modernized its data warehouse for high-volume advertising data, Waystar consolidated its data infrastructure for healthcare transaction processing, and NTT East enhanced AI-driven network operations while ensuring data locality control. The adoption of EDB PG AI reflects a growing market demand for open-source database foundations, with 35% of enterprises considering PostgreSQL for complex workloads. EDB PG AI provides an open-source foundation, accelerated AI development, hybrid deployment flexibility, and enterprise-grade reliability.

Tech Optimizer

January 27, 2026

Expired Oracle Patent Clears Path For Faster Sorting In MySQL And PostgreSQL – Open Source For You

The expiration of Oracle's patent US7680791B2 has made the Orasort sorting algorithm, which offers a claimed 5× performance improvement, available in the public domain for open-source databases like MySQL and PostgreSQL. Developed by Mark Callaghan, Orasort enhances sorting workloads with similar keys and incorporates optimizations such as skipping repeated comparisons, adaptively switching sorting methods, caching key substrings, prefetching data, and producing partial results. The algorithm has shown to be approximately five times faster than previous sorting methods used by Oracle. The open-source community is actively exploring its integration into various database engines, with early experimentation underway using programming languages like Python, C, and C++.

Tech Optimizer

January 27, 2026

EDB Announces Industry-First Book for Building Sovereign Data and AI Platforms with PostgreSQL

EnterpriseDB (EDB) has released a publication titled "Building a Data and AI Platform with PostgreSQL," authored by experts in PostgreSQL and data platforms. The book aims to guide executives and architects in transitioning generative and agentic AI into production-ready platforms. Research from EDB shows that while 95% of organizations plan to establish AI platforms in the next three years, only 35% currently use PostgreSQL for complex workloads, with just 13% achieving success at scale. The book emphasizes the importance of foundational platform design for successful AI deployment and offers a framework for establishing a platform mindset, identifying necessary architecture and governance, and mitigating data challenges. It has received endorsements from industry leaders, highlighting its practical guidance for moving AI from pilot projects to production. The book is available for purchase and will be distributed at the NVIDIA GTC 2026 conference.

Tech Optimizer

January 27, 2026

PostgreSQL for WMS: a DBMS selection strategy in the era of import substitution

Choosing a Database Management System (DBMS) for Warehouse Management Systems (WMS) is a strategic decision that impacts security, budget, and adaptability. PostgreSQL is identified as a safe, cost-effective, and future-proof solution for Russian warehouse systems, especially following the withdrawal of foreign vendors like Oracle and Microsoft SQL Server. Starting September 1, 2025, foreign software usage in government bodies and companies with over 50% state ownership will face legal restrictions, posing regulatory risks for those using Oracle. Financial risks include high licensing fees and the potential for legal prohibitions on current technologies. Business continuity risks arise from the possibility of vendors ceasing support and updates. PostgreSQL, both in its vanilla form and commercial derivatives like Postgres Pro, is presented as a robust alternative capable of handling high loads and providing necessary features for modern WMS. It supports real-time analytics and advanced capabilities such as intelligent search and automatic classification using neural networks. Key considerations when choosing a DBMS include estimating data volumes, checking legal requirements, and calculating total cost of ownership (TCO).

Tech Optimizer

January 27, 2026

ClickHouse Announces Native Postgres Service, Offering a Unified Data Stack for Real-Time and AI-Driven Applications

ClickHouse, Inc. has launched a high-performance, enterprise-grade Postgres service that integrates with ClickHouse, designed for developers creating modern, real-time, AI-driven applications. This service, developed in collaboration with Ubicloud, Inc., merges transactional and analytical workloads on a scalable platform using NVMe storage, allowing for synchronization of transactional data from Postgres to ClickHouse, resulting in analytics that can be up to 100 times faster. Companies like GitLab, Instacart, Cloudflare, and Ramp utilize Postgres for transactions alongside ClickHouse for analytics. ClickHouse is offering a private preview of this new service for developers.

Tech Optimizer

January 26, 2026

AlloyDB managed connection pooling

AlloyDB for PostgreSQL is a fully managed database service designed for enterprise workloads, combining PostgreSQL's strengths with Google Cloud technology for enhanced performance, scalability, and availability. A new feature, managed connection pooling, addresses the challenges of inefficient database connection management, which can lead to performance degradation, resource exhaustion, and reliability issues. Managed connection pooling maintains a cache of active database connections, allowing applications to reuse connections instead of creating new ones for each request, thus reducing latency and resource consumption. This feature is tightly integrated into AlloyDB, simplifying operations and optimizing performance and security. It offers two configurable pooling modes: transaction mode, which maximizes reuse for short transactions, and session mode, which maintains a connection for the entire session. Enabling managed connection pooling can increase transactions per minute by up to five times, support over three times more concurrent connections, decrease connection latency, and improve reliability during traffic spikes. UKG, a provider of HR solutions, has adopted this feature to enhance the performance and scalability of their applications. To enable managed connection pooling, users can activate it in the Google Cloud console and connect applications using standard PostgreSQL drivers to the designated port.

Tech Optimizer

January 26, 2026

OpenAI Scales ChatGPT to 1M Queries/Second with PostgreSQL on Azure

OpenAI has optimized its database infrastructure using PostgreSQL to support 800 million monthly active users and process over a million queries per second without complex sharding. The architecture consists of a single primary instance with nearly 50 read replicas, achieving low double-digit millisecond response times at the 99th percentile. OpenAI employs best practices like connection pooling, query optimization, and strategic indexing, utilizing tools such as PgBouncer for efficient connection management. The company has achieved five-nines availability through failover mechanisms and has adapted to a tenfold increase in query volume within a year by tuning PostgreSQL parameters rather than creating custom solutions. OpenAI incorporates community-driven optimizations, such as custom indexing strategies and materialized views, and uses extensions like pgvector for managing vector data and embeddings. The organization continuously monitors for strain during traffic surges and adjusts by adding replicas or optimizing configurations. Their approach emphasizes simplicity, avoiding sharding to minimize operational overhead, and they plan to explore newer PostgreSQL features and AI-native capabilities in the future.