Postgres Archives

Tech Optimizer

March 6, 2026

Azure Databricks Lakebase is Generally Available

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

March 5, 2026

Databricks Lakehouse Gets Postgres Boost on Azure

Databricks has launched the Azure Databricks Lakebase, a serverless PostgreSQL service that integrates operational data into the lakehouse architecture. Key features include a serverless architecture that eliminates the need for server management, operational data integration for a comprehensive data view, and enhanced analytics capabilities for deeper insights.

Tech Optimizer

March 3, 2026

Snowflake Postgres: Unify Postgres and Analytics on One Platform

Snowflake Postgres is now generally available on AWS and Azure in all major regions, enabling users to initiate a database in minutes. It integrates transactional and analytical data, accelerating innovation by eliminating complex data pipelines, thus saving time and minimizing risks. Comprehensive resources, including technical documentation, a getting started guide, and a demo overview video, are available for users.

Tech Optimizer

February 23, 2026

Databricks Introduces Lakebase, a PostgreSQL Database for AI Workloads

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 20, 2026

Linux 7.0 Shows Significant PostgreSQL Performance Gains On AMD EPYC Review

Initial benchmarking of the Linux 7.0 kernel on the Core Ultra X7 "Panther Lake" platform revealed performance regressions. In contrast, testing on an AMD EPYC Turin server showed no regressions and highlighted significant performance enhancements for PostgreSQL database operations. The benchmarks compared Linux 6.19 and Linux 7.0 Git, using an AMD EPYC 9755 single-socket setup on a Gigabyte MZ33-AR1 server. The upgrade to Linux 7.0 resulted in modest improvements for CockroachDB and notable enhancements in PostgreSQL 18.1 for read and write operations. Performance for in-memory databases like Memcached and Pogocache remained unchanged, while slight improvements were observed for the Nginx HTTPS web server and the Open Image Denoise library. The Panther Lake tests had shown increased context switching times, which were not replicated in the AMD EPYC Turin tests. Both platforms indicated enhancements in kernel message passing performance and improvements in socket activity and pthread performance. Ongoing benchmarking will continue as the Linux 7.0 merge window approaches its conclusion.

Tech Optimizer

February 15, 2026

Waystar Adopts EDB Postgres AI As Shares Trade Below Valuation Estimates

Waystar Holding is integrating EDB Postgres AI into its healthcare data operations to enhance secure and scalable transaction processing, aiming to consolidate payment and claims workloads in a regulated environment. The company processes healthcare payments for about half of the U.S. patient population, making data reliability and control crucial. The transition to EDB Postgres AI addresses the need to manage sensitive health information amid increasing electronic claims and digital payments. Waystar's stock price is currently at US, approximately 43% below the analyst target of US, and 35.8% below its estimated fair value, with an 18.9% decline over the past 30 days. The rollout of EDB Postgres AI is expected to impact uptime, client acquisitions, and operational efficiency, but there are execution risks associated with migrating critical workloads to a new database platform.

Tech Optimizer

February 15, 2026

Manage PostgreSQL Databases Directly in VS Code with Microsoft’s Extension

Microsoft's PostgreSQL extension for VS Code streamlines database management by allowing users to connect to databases, write and execute queries, visualize schemas, and engage with GitHub Copilot without switching applications. It includes Entra authentication for Azure Database for PostgreSQL, enhancing security. The extension features a @pgsql GitHub Copilot agent that assists with PostgreSQL tasks, enabling users to rewrite queries, clarify functions, and analyze performance metrics. The Copilot Chat Agent Mode allows for multi-step tasks like debugging and schema optimization, requiring user permission for database changes. Users can visualize database schemas, manage connections for local and cloud-hosted databases, and utilize context-aware IntelliSense for writing SQL queries. Additional features include a server dashboard, schema migration capabilities, and Docker support for local PostgreSQL instances. Users can install the extension from the VS Code Marketplace.

Tech Optimizer

February 14, 2026

Snowflake Introduces Snowflake Postgres to Enhance PostgreSQL Tool Integration and Open Data Interoperability

Snowflake has introduced Snowflake Postgres to enhance compatibility with PostgreSQL tools and applications, allowing organizations to integrate PostgreSQL-based tools into the Snowflake Data Cloud. Additionally, Snowflake has made enhancements to open data interoperability, including expanded support for various open formats and protocols, which provides enterprises with greater flexibility in managing diverse datasets across multiple systems.

Tech Optimizer

February 14, 2026

Snowflake makes enterprise data AI-ready with native Postgres in its AI Data Cloud

Snowflake has introduced advancements to make data ready for artificial intelligence (AI) by integrating enhanced interoperability, governance, and resilience features into its platform. The latest version of Snowflake Postgres operates natively within the AI Data Cloud, allowing businesses to unify transactional, analytical, and AI functions on a single platform. This integration helps dismantle data silos and fragile pipelines, facilitating real-time analytics and AI capabilities without complex data pipelines. Snowflake Postgres is fully compatible with open-source Postgres, enabling companies to migrate existing applications without code modifications. It allows enterprises to directly query and manage Apache Iceberg tables using standard SQL, minimizing data movement and simplifying architectures. Snowflake also enhances data governance and collaboration across various formats, ensuring AI systems can scale effectively. Additionally, Snowflake's data protection measures, including backups, bolster resilience against disruptions.

Tech Optimizer

February 14, 2026

Creating a Data Pipeline to Monitor Local Crime Trends

The dataset utilized consists of police log entries from the Cambridge Police Department (CPD), which includes the date and time of incidents, type of incident, location, and a detailed description. The project follows a structured ETL process that involves extracting data via the Socrata Open Data API, validating the data for integrity, transforming it for optimal storage, and loading it into a PostgreSQL database. The extraction is performed using a Python client for the API, and validation checks ensure the presence of expected columns and the integrity of the data. The transformation process includes removing duplicates and splitting the datetime column into separate components. The data is then loaded into PostgreSQL, where a table is created to store the incidents. The entire ETL process is automated using Prefect, allowing for daily execution. Finally, the data is visualized using Metabase, which connects to the PostgreSQL database to create dashboards that display crime trends over time.