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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.
Why Alternative App Stores Are Gaining Popularity Among Android Power Users
AppWizard
October 10, 2026

Why Alternative App Stores Are Gaining Popularity Among Android Power Users

An alternative app store allows users to access apps and games not available on official platforms like the Google Play Store, including older versions, regional apps, and open-source options. Types of alternative app stores include third-party Android stores, open-source platforms, modified APK stores, regional stores, free app stores, and game-focused stores. Users explore these stores for a broader selection of apps, including those restricted by geography. Alternative app stores can provide apps that Google Play does not, such as regional apps and modified applications. When choosing an alternative app store, users should consider the platform’s reputation, app descriptions, update frequency, security measures, and source verification. Alternative app stores differ from Google Play by offering more flexibility and access to unique content, though security and developer support may vary. Modified apps are altered versions that may offer enhanced features. Alternative app stores are important for overcoming regional barriers and providing ad-free experiences. They host a variety of apps, including multiple versions of a single application, and typically feature user-friendly search functionalities. Comprehensive app information is often available, including version data and permissions. Some stores focus on open-source and independent apps. The legality of using alternative app stores depends on licensing and local laws, and they often feature apps not found on Google Play. Many alternative stores provide multiple app versions, and only reliable ones may offer faster updates.
Supabase Announces $150M in New Funding and Turso Acquisition
Tech Optimizer
October 10, 2026

Supabase Announces $150M in New Funding and Turso Acquisition

Supabase has secured 0 million in funding led by GIC, with participation from Alphabet's CapitalG, IronArc, and SquarePeg. This follows a million Series F round four months earlier. Supabase has acquired Turso, a platform for managing databases for agentic workloads, to enhance its product development and provide liquidity for employees. The company is adding over 1 million users and 4 million databases monthly, with 70% created by AI-driven tools, reflecting a 600% year-over-year increase in databases. Turso's architecture allows for on-demand provisioning of databases in public cloud and BYOC setups. Glauber Costa, founder of Turso, will become Head of Agentic Services at Supabase. Supabase, established in 2020, supports over 13 million developers with a comprehensive backend solution.
How and why we built Managed PostgreSQL for AI workloads
Tech Optimizer
October 10, 2026

How and why we built Managed PostgreSQL for AI workloads

The Nebius Managed PostgreSQL team developed a solution for AI workloads using CloudNativePG and Kubernetes, resulting in improved backup and restore times by transitioning from Barman to WAL-G, reducing a 1.5 TB backup duration from over a day to two hours. Since its launch in 2025, the service supports hundreds of production clusters and manages tens of tebibytes of data. Key features include high availability, point-in-time recovery, automated failover, compressed and encrypted backups, rapid restoration, connection pooling, and strict synchronous replication for zero data loss. Kubernetes and CloudNativePG were chosen for their advantages, including out-of-the-box features and open-source distribution. Each cloud project has a separate MK8s cluster for customer isolation and security. Persistent data is stored on fault-tolerant SSD drives, enabling swift instance migration during failures. Regular physical backups are archived, allowing restoration within a seven-day window with a single click. The transition from Barman to WAL-G addressed slow backup and restoration times and resource control limitations. With WAL-G, backups and restorations for a 1.5 TB cluster improved to two hours and one hour, respectively. PgBouncer was implemented to manage database connections effectively, reducing connection storms during peak AI workload traffic. Two vector search extensions, pgvector and pgvectorscale, are available to cater to different memory and dataset needs. Benchmarking showed that Nebius performs competitively with AWS at a lower cost. The infrastructure integrates cloud engineering principles with specialized expertise to meet AI workload demands.
How Telangana’s MeeSeva migration to open source could make governments rethink software costs
Tech Optimizer
October 10, 2026

How Telangana’s MeeSeva migration to open source could make governments rethink software costs

In April 2026, Telangana's MeeSeva platform migrated from the Oracle database to the open-source PostgreSQL database after 15 years of reliance on Oracle. This transition aimed to reduce annual costs of approximately ₹10 crore associated with Oracle licensing and maintenance. The initiative began in 2023, and the migration was executed with less than four hours of downtime, processing around 80,000 transactions daily. The migration involved over 85 microservices, three Oracle servers, and 1,939 tables, with the process automated by the Ora2Pg tool, which handled 60-70% of the transition. The migration cost was below ₹10 lakh, and after the switch, MeeSeva processed nearly 200 million transactions without data loss. The new architecture includes automatic failover capabilities to minimize disruption.
Microsoft’s AI-Powered Windows Strategy: 5 Things To Know
Winsage
October 9, 2026

Microsoft’s AI-Powered Windows Strategy: 5 Things To Know

Microsoft has transitioned its Execution Containers capability into general availability, creating a secure environment for AI agents on Windows 11. Nvidia's CEO praised Microsoft's MXC architecture as a revolutionary foundation for application development. Organizations are increasingly relying on managed service providers to navigate AI tools. The general availability of Microsoft Execution Containers allows organizations to define access for AI agents, with real-time policy enforcement. The open-source MXC library integrates across Windows, macOS, and Linux, helping manage agent interactions and mitigate risks. Microsoft is enhancing the Copilot experience with hybrid intelligence features and revamping Windows Search for better performance. Preorders for new Copilot+ PCs powered by Nvidia's RTX Spark technology are open, with shipments starting on October 16. Device partners like Dell, HP, and Lenovo are also launching AI PCs on the same date. Later this year, Dell and HP will introduce Nvidia’s DGX Station technology to enable local running of frontier-class AI models on Windows devices.
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