agent Archives

Tech Optimizer

August 12, 2026

Databricks acquires Electric to give every AI agent its own Postgres database

Databricks has acquired Electric, a startup known for its WASM-based Postgres project, PGlite, and the Electric sync engine. The Electric team will integrate with Neon, a serverless Postgres company acquired by Databricks for approximately billion last year. PGlite is a full Postgres database implemented in WebAssembly, capable of running in various environments and supporting dynamic extension loading, including pgvector. PGlite's weekly downloads increased from 1 million to 13 million over the past year. The Electric sync engine allows near real-time synchronization of a central Postgres database across platforms, similar to collaborative tools like Figma and Google Docs. Electric's founders have assured that all previously open-sourced components will remain accessible, while the hosted service, Electric Cloud, will be phased out. Databricks has noted that agents are now responsible for creating four times more databases than human users on Lakebase, with the average lifespan of a database compute instance being less than 10 seconds. The architecture of Lakebase separates storage from compute, facilitating cost-effective operations. PGlite originated from an experiment by Stas Kelvich, co-founder of Neon, who compiled Postgres to WASM, which Electric later developed into a production project.

Tech Optimizer

August 12, 2026

Databricks Acquires Electric to Give AI Agents Their Own Local Postgres

Databricks has acquired Electric, a company known for its contributions to the Postgres ecosystem, including PGlite, a compact version of Postgres for WebAssembly environments. This acquisition includes a real-time synchronization engine that keeps local data copies consistent with a central cloud database. Electric's team will join Neon, a serverless Postgres company previously acquired by Databricks. The integration aims to enhance Lakebase, Databricks' managed Postgres offering, by using PGlite for local data management. PGlite's weekly downloads surged from approximately 1 million to 13 million over the past year, indicating growing developer interest in embedded database models. The acquisition reflects a shift towards decentralized data management for AI agents, with synchronization mechanisms becoming crucial. Databricks is reinforcing its investment in Neon, signaling a deeper relevance of its Postgres offerings. The increase in PGlite downloads suggests early developer interest in local-first database architectures, though widespread production adoption remains uncertain. The emergence of state, identity, payments, isolation, and sync as infrastructure components indicates a competitive landscape for the agent runtime layer, with Databricks strategically positioned in this race.

Tech Optimizer

August 12, 2026

Dealroom.co | Databricks acquires Electric to bring Postgres to AI agent sandboxes

Databricks has acquired Electric, the creator of PGlite, a lightweight version of Postgres that operates within applications and user devices instead of relying on a separate server. This acquisition enhances Databricks' Postgres capabilities, allowing AI agents to maintain local Postgres instances while synchronizing with a central Lakebase Postgres system. Electric's real-time synchronization engine ensures that distributed agents remain aligned with a central record. The acquisition comes as companies shift towards agentic applications that require reliable data and rapidly changing local context. PGlite has gained significant traction, with weekly downloads increasing from 1 million to 13 million between August 2025 and August 2026. Databricks views Postgres as a foundational element for AI agents, emphasizing the importance of managing state, context, and synchronization among agents in the evolving landscape of AI systems.

AppWizard

August 11, 2026

Brand new PC bundle gives you 14 games with a short playtime for just $12

PC gamers can purchase the Short Games Showcase Bundle curated by Humble Bundle until August 28, 2026. The bundle includes a standard 14-item collection priced at .00 and a 7-item selection available for .00. Notable games in the bundle include: - Fill Up The Hole: Released on July 17, 2025, with a Steam rating of 90% positive. - Old Man's Journey: Released on May 18, 2017, with a Steam rating of 87% positive. - Teacup: Released on September 23, 2021, with a Steam rating of 96% positive. - A Juggler's Tale: Released on September 29, 2021, with a Steam rating of 93% positive. - Scanner Sombre: Released on April 26, 2017, with a Steam rating of 91% positive. - Astro Prospector: Released on July 14, 2025, with a Steam rating of 92% positive. - A Tiny Sticker Tale: Released on October 4, 2023, with a Steam rating of 97% positive. - Botany Manor: Released on April 9, 2024, with a Steam rating of 94% positive. - Biped: Released on March 26, 2020, with a Steam rating of 85% positive. - Monster Prom 2: Monster Camp: Released on October 23, 2020, with a Steam rating of 97% positive. - Anomaly Agent: Released on January 24, 2024, with a Steam rating of 94% positive. - NanoApostle: Released on September 12, 2024, with a Steam rating of 95% positive. - Knightica: Released on August 21, 2025, with a Steam rating of 74% positive. - The Dark Queen of Mortholme: Released on August 15, 2025, with a Steam rating of 83% positive.

AppWizard

August 8, 2026

Weekend PC Game Deals: Witchfire, Avowed, Ninja Gaiden, Ready or Not, and more

The Epic Games Store is offering a giveaway of two titles, We Were Here Together and Beacon Pines, available until August 13. Steam is giving away the action RPG Moonlighter for free until August 9. The August Humble Choice includes eight games, such as Like a Dragon: Infinite Wealth and Teenage Mutant Ninja Turtles: Shredder's Revenge Ultimate Edition, available until September 1. Humble also has several bundles, including the Unhinged Indie Anthology collection and the In Your World VR collection. The GOG store features a variety of DRM-free titles. Availability and pricing may vary by region.

Tech Optimizer

August 6, 2026

Antivirus software alone does not guarantee protection, this expert warns

Hackers have stolen over 0 million USD in Bitcoin by exploiting vulnerabilities in Canadian-made hardware wallet keys. The breach involved sophisticated tactics, including the use of an AI agent that deceived targets into installing malware and could alter its identity to avoid detection. Ritesh Kotak emphasized that reliance solely on antivirus software is insufficient, highlighting the need for a comprehensive approach to cybersecurity. The incident raises concerns about the effectiveness of current protective measures and the growing threat landscape in the digital economy.

Winsage

August 4, 2026

This handy free Windows update tool drops a feature Windows 11 users can live without

Windows 11 updates include security and feature updates, with recent improvements in update management. Microsoft has introduced the option to pause updates for extended periods and users can utilize WUView, a tool that consolidates installed updates into a navigable list, providing detailed information and advanced logging capabilities. WUView supports saving update history in various formats and allows filtering and excluding specific updates. The latest version of WUView will only support 64-bit systems, reflecting the trend towards 64-bit usage. Enhancements in the new version include theme selection, a new light theme named Pale Graphite, improved localization, and various updates to logging and UI elements. WUView is available on its official GitHub repository.

Tech Optimizer

July 30, 2026

Generating Referentially Consistent Synthetic Test Data for PostgreSQL in .NET Application Modernization

Satyajit Gokhale, Aiswaryaa Venugopalan, Ruchi Agarwal, Nits Jeganathan, Khurram Khawaja, Vijay Mandadi, and Luke Huan contributed to this article. AWS Transform offers a .NET application modernization service that allows enterprise customers to migrate from Microsoft SQL Server to Amazon Aurora PostgreSQL Compatible Edition. This migration reduces licensing costs and enhances scalability while utilizing an open-source ecosystem. Schema conversion tools can assist in translating DDL to PostgreSQL-compatible definitions, but correctness must be verified by teams to ensure performance under real-world workloads. Traditional testing methods, such as using production data or manual checks, are not scalable and raise privacy concerns. Therefore, there is a need for realistic synthetic data generated at scale that adheres to the migrated schema's constraints. AWS Transform for SQL Server modernization employs an AI agent to generate constraint-respecting synthetic data at scale during the migration workflow. This process involves loading the PostgreSQL schema into a live database, constructing a dependency graph for data generation, and distributing tasks across multiple sub-agents. The agent validates each generated INSERT against the live database, ensuring compliance with constraints and providing error diagnostics for any violations. The synthetic data generation workflow consists of four stages: schema analysis, establishing generation order, distributing tasks across sub-agents, and validation with error recovery. The agent extracts metadata from the PostgreSQL schema, determines a valid table generation sequence, parallelizes data generation while maintaining referential integrity, and generates and validates data row-by-row against the live database. Each successful insertion enriches the context for subsequent generations, while errors are handled through structured diagnostics and iterative regeneration. The process ensures referential integrity and preserves the generation state, allowing for recovery from interruptions without data loss.

Tech Optimizer

July 30, 2026

EDB Says Postgres AI Tops Enterprise AI Data Platform Benchmarks

EnterpriseDB (EDB) has released benchmark results for its EDB Postgres AI (EDB PG AI), showing superior performance compared to various AI data platforms, including vector databases and managed Postgres platforms. The independent testing by McKnight Consulting Group indicated that EDB PG AI outperformed competitors in all evaluated metrics, including query speed, accuracy, and cost efficiency. Key findings include: - EDB PG AI achieved a median query latency of 50 milliseconds at 50 million vectors, making it the fastest platform tested, 80 times faster than Databricks and 21 times faster than MongoDB Atlas. - It demonstrated the highest accuracy for core vector search with a recall rate of 0.911, outperforming MongoDB by 26% and Databricks by 17%. - In a concurrent agent loop test, EDB PG AI completed tasks in 27 milliseconds, significantly faster than MongoDB Atlas (699 milliseconds) and Databricks (5.1 seconds). - EDB PG AI provided 76 times better price performance than Databricks and 34 times better than MongoDB. - The platform integrates vectors, structured data, and analytics within a single operational database, enhancing efficiency and reducing the risk of data inconsistency. The benchmark study assessed the performance of EDB PG AI against Amazon Aurora PostgreSQL, Databricks, Crunchy Bridge, MongoDB Atlas, and open source PostgreSQL, all standardized on equivalent enterprise hardware.

Tech Optimizer

July 29, 2026

EDB Postgres® AI Outperforms Vector Databases, Lakehouses, and Document Stores for Agentic AI on Speed, Accuracy, and Cost

EDB Postgres AI is a pioneering solution that integrates intelligence and data on a unified sovereign foundation, eliminating the need for ETL processes, data duplication, and separate vector stores. Independent benchmarks show that EDB Postgres AI outperforms competing platforms in speed, accuracy, and cost-effectiveness. A study by McKnight Consulting Group indicates that EDB Postgres AI excels in key performance metrics, including query latency, accuracy, cost, and data freshness, outperforming specialized vector databases and other managed Postgres platforms. EDB Postgres AI achieves median query latencies of 50 milliseconds at a scale of 50 million vectors, making it 80x faster than Databricks, 21x faster than MongoDB Atlas, and up to 2x faster than alternatives like Aurora and Crunchy Bridge. It also delivers the highest recall rates for core vector searches, surpassing competitors like MongoDB and Databricks. In tests involving concurrent retrievals, EDB Postgres AI completed a three-arm agent loop in 27 milliseconds, significantly faster than other platforms. In terms of cost efficiency, EDB Postgres AI offers 76x better price performance than Databricks, 34x better than MongoDB, and 23%–28% better than the nearest managed Postgres competitors when considering query speed. The architecture of EDB Postgres AI allows for the integration of vector, filtered, and full-text retrieval in a single query path, ensuring real-time data access and eliminating the need for separate systems.