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Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Tech Optimizer
October 11, 2026

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Amazon has introduced a new capability for Amazon Aurora PostgreSQL that allows users to query operational data alongside data stored in data lakes formatted in Apache Iceberg and Apache Parquet. This feature enables direct access to Iceberg REST Catalog-compatible catalogs, eliminating the need for data duplication or relocation. The integration of DuckDB within Aurora PostgreSQL allows users to query live operational data, including uncommitted writes, alongside data from data lakes using standard PostgreSQL syntax. This capability is available on Aurora PostgreSQL versions 17 (starting with 17.11) and 18 (starting with 18.6). Users must create an Aurora PostgreSQL cluster, attach an IAM role with the AuroraAnalytics feature, and enable the aurora_analytics extension to utilize this feature. They can create foreign tables referencing Iceberg or Parquet data in the data lake, and query them using familiar PostgreSQL commands. Aurora optimizes query performance through techniques like predicate pushdown and column pruning, and users can monitor query behavior with metrics provided by aurora_analytics_stat_statements(). Direct querying of Apache Iceberg and Parquet data is available across all commercial AWS Regions and AWS GovCloud (US) Regions without additional charges, aside from incremental Aurora compute and Amazon S3 request costs.
AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
Tech Optimizer
October 10, 2026

AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data

Amazon Web Services Inc. has enhanced its Aurora PostgreSQL database management system to allow users to query the Apache Iceberg data lake directly. This feature integrates the DuckDB analytical engine, enabling seamless access to live transactions and historical records without data duplication or complex ETL processes. Customers can use existing PostgreSQL applications to query data in Amazon S3, including S3 Tables. The integration aims to reduce the engineering workload associated with data pipelines and supports real-time applications. DuckDB processes analytical scans within Aurora, eliminating extra network hops and allowing single queries to access both live and archived data. The feature supports external catalogs compliant with the Iceberg REST Catalog specification and can create foreign tables referencing data across multiple catalogs. Aurora optimizes query performance by filtering records and caching frequently accessed data. Customers can combine recent transactions in Aurora with historical data from S3 without manual schema definitions. For low-latency workloads, selected data can be copied into native Aurora tables using standard SQL. This capability requires the aurora_analytics extension and an AWS IAM role for S3 and Glue access, and is compatible with Aurora PostgreSQL versions 17.11 and 18.6. The feature is available across all AWS regions at no additional charge, with costs incurred only for Aurora computing resources and S3 requests.
AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL
Tech Optimizer
October 10, 2026

AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL

Amazon Web Services (AWS) has integrated the open-source analytics engine DuckDB into its Amazon Aurora PostgreSQL database, allowing users to query Apache Iceberg tables and Parquet files directly from data lakes without traditional ETL processes. This feature, announced on September 30, 2026, enables seamless access to both operational and historical data in a single SQL statement. Users can enable the aurora_analytics extension, assign an IAM role for S3 and AWS Glue access, and create external tables using standard PostgreSQL syntax. The integration supports Iceberg tables managed by AWS Glue Data Catalog, Iceberg REST Catalog-compatible external catalogs, Parquet files on S3, and S3 Tables. Performance optimizations include predicate pushdown and column pruning on the data lake side, with caching for frequently accessed data. This feature is available for Aurora PostgreSQL versions 17.11 and later, and 18.6 and later, across all commercial regions and AWS GovCloud (US), with no additional charges beyond Aurora compute and S3 request fees. In a separate development, AWS has a significant contract with AI company Anthropic, anticipating billion in cloud-related contractual obligations over several years, with approximately billion projected to be paid to Amazon from a 10-year agreement announced in April 2026. Anthropic's revenue has shown impressive growth, with first-quarter 2026 revenue reaching 0 million and second-quarter revenue at .8 billion. However, risks are present, as a significant portion of Anthropic's revenue comes from a few customers, and many larger clients lack long-term contracts. Amazon has invested .8 billion in Anthropic, with its stake valued at approximately billion as of June 2026.
Russian software taught to work more easily with large data arrays
Tech Optimizer
October 10, 2026

Russian software taught to work more easily with large data arrays

Russian Postgres Professional has released an update to Postgres Pro AXE, version 2.0, which allows users to handle analytical data using standard SQL queries instead of specialized stored procedures. This update improves accessibility to analytical data, which is stored in Parquet format and managed through a dedicated metadata catalog. The system is designed for analytical workloads, supporting Online Analytical Processing (OLAP) and hybrid workloads. The first public version of Postgres Pro AXE was launched in January 2026, featuring vectorized analytical queries and compatibility with columnar storage. In the Russian market, alternatives to Postgres Pro AXE include Arenadata DB, optimized for corporate data warehouses, and Arenadata QuickMarts, a clustered columnar DBMS based on ClickHouse for rapid analytics.
NVIDIA DGX Station for Windows: 748GB, 20 PFLOPs
Winsage
October 8, 2026

NVIDIA DGX Station for Windows: 748GB, 20 PFLOPs

NVIDIA announced the DGX Station for Windows on October 7, 2026, transitioning from a Linux-only approach to a Windows-based workstation. It features the GB300 Grace Blackwell Ultra Desktop Superchip, which includes a 72-core Grace CPU and a Blackwell Ultra GPU, providing up to 748GB of coherent memory and 20 petaFLOPs of FP4 AI compute. The system is designed for enterprise developers, allowing them to use familiar tools like CUDA and TensorRT within a Windows environment. The DGX Station for Windows will be available through OEM partners in Q4 2026, with an estimated price range of ,000 to ,000. NVIDIA will continue to offer the Linux version of the DGX Station alongside the new Windows edition.
Remember MapQuest? You can now use it with Android Auto
AppWizard
October 7, 2026

Remember MapQuest? You can now use it with Android Auto

MapQuest has launched a beta version for Android Auto, aiming to compete with Google Maps and Apple Maps. The company has retained the historical name of Lake Ontario, leading to a significant increase in app usage, with over 1.5 million downloads and activity rising to 50 times its usual rate. Users can install MapQuest by downloading it from Google Play, joining the beta program, and connecting their smartphone to their vehicle. Initial feedback indicates some inconsistencies, such as app crashes and delayed responses, but the app offers features like turn-by-turn navigation, real-time traffic updates, route optimization, and voice search capability.
Kingdom Come Maker Hopes GTA 6 Lifts Game Prices
AppWizard
October 5, 2026

Kingdom Come Maker Hopes GTA 6 Lifts Game Prices

Martin Klima, co-founder of Warhorse Studios, argues that the video game industry has undervalued its products and that a price increase is necessary for the survival of mid-sized developers. He highlights that production costs for high-quality RPGs and open-world games have risen significantly, while retail prices have remained stagnant. Rockstar Games is set to launch Grand Theft Auto VI at .99 for the standard edition and .99 for the Ultimate Edition, which is being observed as a potential benchmark for future game pricing. Klima believes that if GTA VI's pricing is successful, it could encourage other developers to raise their prices as well. He notes that adjusted for inflation, games today cost less than they did in the 1990s. The last significant price increase in the industry occurred in 2020, when the standard price rose from .99 to .99. Analysts suggest that franchises like Call of Duty, NBA 2K, and EA Sports FC may follow suit if GTA VI performs well commercially.
OM SDK sandbox cuts Android ad session start to 11 ms, IAB Tech Lab says
AppWizard
October 5, 2026

OM SDK sandbox cuts Android ad session start to 11 ms, IAB Tech Lab says

IAB Tech Lab has released version 1.6.10 of its Open Measurement SDK for Android, introducing the ability for verification scripts for native ads to run within Android's Jetpack JavaScriptEngine instead of the traditional WebView. This update, effective from October 1, 2026, allows for a significant reduction in verification check initiation time, with the sandbox environment taking approximately 11 milliseconds compared to 268 milliseconds in the WebView. Applications that do not implement this new feature will continue to function as before, and HTML-based ads are not included in this update. The JavaScriptEngine library allows JavaScript evaluation without a WebView, reducing resource consumption and enabling compatibility with background services. The adoption process for this feature involves updating to OM SDK Android 1.6.10 or later, integrating the androidx.javascriptengine dependency, and maintaining the sandbox throughout the app's lifecycle.
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