AI workloads

Tech Optimizer
March 17, 2026
EnterpriseDB (EDB) has advanced its integration with NVIDIA's cuDF for Apache Spark to enhance Postgres® performance on NVIDIA AI infrastructure, achieving analytics capabilities up to 100 times faster than traditional methods. EDB emphasizes the need for a real-time analytics framework to address challenges posed by fragmented data silos and inefficient analytics processes. Key features of EDB Postgres AI include GPU-acceleration for interactive analytics, NVIDIA NIM model serving, fully air-gapped support for private registries, and high-speed retrieval with NVIDIA NeMo Retriever. Research indicates only 13% of enterprises have transitioned to production-scale agentic deployments, which report five times higher ROI. The EDB PG AI Analytics Engine can achieve 50–100x faster analytics on large datasets, supports lakehouse architectures, and ensures workload isolation and governance. EDB PG AI is positioned as a secure, compliant, and scalable platform for operationalizing data and AI workloads.
Tech Optimizer
March 13, 2026
EnterpriseDB (EDB) has launched the Postgres Vitality Index, which ranks commercial contributors to PostgreSQL, highlighting EDB's claim of over 30% of contributions. The index evaluates contributions based on core code, ecosystem extensions, and community support. EDB is positioned ahead of AWS and Microsoft in contributions. EDB's product strategy includes EDB Postgres AI, addressing data sovereignty and governance for AI systems, emphasizing a hybrid architecture for various workloads. EDB aims to enhance Postgres's readiness for enterprise AI, while also publishing resources related to Postgres and AI architecture. The index's introduction aligns with an increase in managed Postgres offerings and tools from various vendors.
Tech Optimizer
March 12, 2026
EnterpriseDB (EDB) has launched the Postgres Vitality Index to evaluate the commercial contributions shaping PostgreSQL's future. The index indicates that Postgres is the most strategically invested-in database globally, with EDB as the leading contributor, accounting for over 30% of contributions. Postgres is favored by over 55% of developers, reflecting its growing adoption among major tech firms. The index assesses contributions in three areas: core advancements in the PostgreSQL codebase, ecosystem enhancements through extensions and tools, and community support. EDB's Postgres AI platform addresses the need for data and AI sovereignty, offering a hybrid architecture for governance and flexibility. EDB has also published a guide on building AI platforms with Postgres, which will be distributed at NVIDIA's GTC event.
Tech Optimizer
March 6, 2026
Azure Databricks Lakebase is a managed, serverless PostgreSQL solution optimized for the Databricks Platform on Azure, announced by Microsoft as generally available. It separates compute from storage, allowing direct writing of operational data to lakehouse storage and bridging the gap between transactional systems and analytics. Lakebase features instant branching and zero-copy clones, enhancing developer productivity by enabling safe testing environments without infrastructure delays. It operates on a serverless model with autoscaling capabilities, ensuring cost efficiency by charging users only for the compute resources utilized. Lakebase is built on standard PostgreSQL, ensuring compatibility with existing tools and libraries, and supports various extensions. It provides unified governance through Unity Catalog, offering consistent access control and auditing across the Azure Databricks data estate. The platform facilitates AI development by enabling real-time operational context access and low-latency feature serving. Azure Databricks Lakebase integrates with Microsoft Entra ID for security and compliance, simplifying the DevOps burden for developers.
Tech Optimizer
February 23, 2026
Databricks has launched Lakebase, a serverless database solution based on PostgreSQL that allows independent scaling of compute and storage resources. It integrates with the Databricks platform, combining transactional and analytical functionalities. Lakebase aims to simplify real-time application and AI workload development by consolidating database management, analytics, and governance. Key features include instant data branching, point-in-time recovery, and unified access controls. It is designed to address the limitations of traditional operational databases, which struggle with modern AI demands. Lakebase offers a managed PostgreSQL service, supporting up to 8TB per instance and featuring pgvector for AI-driven search. It has been in development since June 2025, utilizing technology from the PostgreSQL company Neon and enhanced by the acquisition of Mooncake. Lakebase is available in Autoscaling and Provisioned versions, with the Autoscaling version billed based on usage. It is currently available on AWS, in public preview on Azure, and expected on Google Cloud later this year. SOC2 and HIPAA certifications are projected for early 2026.
Tech Optimizer
February 14, 2026
Over 80% of developers now incorporate AI tools into their workflows. PostgreSQL is preferred by 78.6% of developers engaged in AI and real-time applications. Microsoft has enhanced its PostgreSQL managed services to meet contemporary developer needs, contributing over 500 commits to the open-source project. The Azure Database for PostgreSQL supports both lift-and-shift and new open-source workloads, while the newly introduced Azure HorizonDB is designed for AI-native workloads. Developers can provision PostgreSQL instances directly from Visual Studio Code, and GitHub Copilot assists in writing and optimizing SQL queries. Azure Database for PostgreSQL facilitates integration with Microsoft Foundry for AI applications and supports high-performance similarity search with DiskANN vector indexing. PostgreSQL 18 is now available on Azure, offering enhanced performance and scalability. Nasdaq has modernized its Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry to integrate AI for governance tasks. Azure HorizonDB is a fully managed PostgreSQL-compatible service designed for AI-native workloads, currently in private preview.
Tech Optimizer
February 12, 2026
OpenAI scaled PostgreSQL to handle millions of queries per second for its ChatGPT service and API, serving 800 million users. Collaborating with Azure, they optimized deployment on Azure Database for PostgreSQL, maintaining a single-primary instance with nearly 50 geo-distributed read replicas to manage read operations and keep latency low. Key optimizations included increasing instance size, refining query patterns, and directing write-heavy workloads to sharded systems like Azure Cosmos DB. OpenAI faced operational challenges such as cache-miss storms and complex multi-table joins, which they addressed by shifting tasks to the application layer, enforcing stricter timeouts, and refining query structures. They reduced write pressure on PostgreSQL by migrating shardable workloads, implementing rate-limiting, and utilizing connection pooling with PgBouncer. Future strategies include exploring cascading replication to alleviate the primary instance's load and assessing sharded PostgreSQL deployments to enhance scalability while balancing consistency and performance.
Tech Optimizer
February 12, 2026
Simplyblock has developed Vela software, enabling instant Postgres database branches without data copying, utilizing its block storage capabilities. CEO Rob Pankow emphasizes Postgres as a key database for AI applications, with companies like Databricks and Snowflake making significant advancements in serverless Postgres technology. Pankow identifies challenges with managed Postgres instances, including IOPS limits, throttling, latency spikes, and high costs due to overprovisioning. Vela allows developers to run Postgres in their cloud accounts, co-locating data and GPUs, and employs a copy-on-write mechanism for database branches, facilitating Git-like version control. Vela is cloud-agnostic, integrates with Kubernetes, and supports features like autoscaling and lifecycle orchestration. Simplyblock has also launched a hosted Vela Sandbox for users to explore the software. A Vela Beta is available with documentation and access to the sandbox.
Tech Optimizer
January 28, 2026
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
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.
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