agents Archives

Tech Optimizer

August 13, 2026

Databricks Acquires Electric to Give AI Agents Their Own Local Postgres

Databricks has acquired Electric, the team behind PGlite, a WebAssembly-compiled version of Postgres designed for embedded applications, and a real-time synchronization engine. This acquisition is aimed at enhancing Databricks' Lakebase, a managed Postgres offering, by integrating Electric's technology to address local state management for AI agents. PGlite has seen a significant increase in downloads, from 1 million to 13 million weekly, indicating growing developer interest in embedded databases. The acquisition reflects a trend towards decentralized databases for agents, with synchronization ensuring consistency between local and cloud databases. Databricks aims to strengthen its position in the evolving infrastructure for agent-runtime layers, focusing on state and synchronization capabilities.

Tech Optimizer

August 13, 2026

Electric joins Databricks to bring WASM Postgres to AI agent sandboxes

Databricks has acquired Electric, the team behind the open-source PGlite and real-time data synchronization technology, to enhance its Postgres capabilities. This acquisition aims to address challenges faced by AI developers in managing real-time, distributed state while minimizing network latency. Electric's technology will integrate with Databricks’ Lakebase infrastructure, allowing for production-scale Postgres capabilities in local execution environments. This development provides a unified Postgres standard for creating full-stack agentic applications across cloud and edge environments. Key features include local database access through PGlite within agent sandboxes and continuous real-time synchronization for multi-agent teams, maintaining central governance within Lakebase.

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.

Winsage

August 12, 2026

Microsoft isn’t scrapping its unwanted OneDrive Photos app; it’s just giving you a way to get rid of it

Microsoft's OneDrive Photos app was inadvertently distributed to millions of PCs. Jeff Teper, Microsoft's Executive Vice President of Apps and Agents, confirmed the premature rollout but indicated it has led to insights about the app's capabilities and future plans. Microsoft is preparing for a formal release that will include administrative controls allowing organizations to manage user sign-ins with personal Microsoft accounts. Additionally, users will soon have the option to uninstall the OneDrive Photos app independently without affecting the OneDrive app or file sync. The new app raises questions about its necessity, given the existing Photos app for Windows, which already integrates with OneDrive. Further details are expected to be reflected in the Microsoft 365 Roadmap.

AppWizard

August 7, 2026

Google is bringing back native app lock for Android, but not for everyone yet

The latest Android Canary release introduces a new feature that allows users to lock multiple apps simultaneously through the settings menu, enhancing the app lock functionality. This feature is accessible under Settings > Security & privacy > App lock and allows users to organize locked apps in a list view. Once locked, apps will not display notification content, and their widgets and shortcuts will be hidden, although AI agents can still access their data if previously permitted. Users need to enter a PIN or use biometric authentication to access locked apps, which will also remain hidden from the recents menu. This development positions Google alongside competitors like Xiaomi and vivo, who offer similar features.

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

After rewriting SQLite in Rust, Turso turns its sights on Postgres

Cloud database provider Turso is developing a Postgres-compatible implementation based on its SQLite-compatible database, which was created from scratch in Rust. CEO Glauber Costa believes Postgres can benefit from modernization for cloud-native applications. Turso's SQLite reimplementation, now called Turso, uses a virtual machine architecture that may eventually support other database frontends, including MySQL and Redis. The company initially forked SQLite into libSQL but later pivoted to a cloud service named Turso. They focused on a virtual machine architecture for their rewrite, which translates SQL queries into a custom bytecode language. Turso has developed a Postgres-compatible prototype named pgmicro, which aims to run existing applications with minimal modifications. The company is also working on a database-as-a-cloud service that will allow customers to use various database types on the Turso platform.