NewApp Digest
search bot

data management

Databricks acquires Electric to bring local Postgres databases to agentic apps
Tech Optimizer
August 14, 2026

Databricks acquires Electric to bring local Postgres databases to agentic apps

Many enterprise teams are facing challenges in data governance, particularly concerning sandbox-level state, despite effective central warehouse governance. Databricks is addressing this issue proactively. CIOs should ask vendors how state is secured and managed within agents, not just in central databases. Distributing state across agent sandboxes increases security risks and complicates governance, requiring enterprises to extend access control, audit, and compliance frameworks beyond a single database to numerous local instances. Robust data governance strategies are essential for managing data security and compliance.
Databricks' Electric acquisition adds embeddable PostgreSQL
Tech Optimizer
August 14, 2026

Databricks’ Electric acquisition adds embeddable PostgreSQL

Databricks has acquired ElectricSQL, a startup specializing in PostgreSQL database capabilities, to enhance its offerings by extending PostgreSQL functionalities to edge devices. The acquisition, announced on August 11, aims to streamline operations for AI agents by allowing local data access. ElectricSQL has developed PGlite, a lightweight WebAssembly version of PostgreSQL for faster data access and real-time synchronization. This acquisition follows Databricks' earlier integration of PostgreSQL capabilities through the acquisition of Neon in May 2025. The founders of Electric, James Arthur and Kyle Matthews, will join Databricks. PostgreSQL has become the most popular open-source database by 2024, recognized for its versatility in handling diverse data types. Databricks' acquisition strategy also includes previous acquisitions like Neon and MosaicML, aimed at enhancing its AI development tools.
Electric joins Databricks to bring WASM Postgres to AI agent sandboxes
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.
silver Android smartphone
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.
silver Android smartphone
AppWizard
August 10, 2026

Marvel Rivals hits the Ozempic, comes back 40 GB lighter

Marvel Rivals has reduced its file size by approximately 40 GB for PC users as part of an "Optimized texture resource compression strategy across all platforms." Creative director Guangyun Chen stated that a massive texture compression overhaul is being implemented in season 9.5 without sacrificing visual quality. Helldivers 2 also reduced its file size from around 154 GB to approximately 23 GB by eliminating redundant data. The trend towards efficient data management in gaming is evident, especially as SSD prices rise.
They might have grown up online — but Gen Z are apparently far less likely to use antivirus, study finds
Tech Optimizer
July 29, 2026

They might have grown up online — but Gen Z are apparently far less likely to use antivirus, study finds

A recent survey by Kaspersky involving 7,200 respondents from 18 countries found that only 27% of Generation Z use antivirus software on their mobile devices. Additionally, 57% of Gen Z spend more time online than offline, yet many lack awareness of online safety principles. Alarmingly, 52% reported experiencing attacks on their devices or accounts, but few take necessary precautions. Only 28% regularly back up important personal data on their phones, and many neglect changing passwords. To address these issues, Kaspersky launched "Case 404," a cyber-detective adventure game aimed at improving cybersecurity awareness among Gen Z.
'PGSimCity' shows how the PostgreSQL database actually works internally in a SimCity-like 3D environment.
Tech Optimizer
July 28, 2026

‘PGSimCity’ shows how the PostgreSQL database actually works internally in a SimCity-like 3D environment.

PGSimCity is a web application that provides a 3D visualization of PostgreSQL's architecture, allowing users to explore its internal operations during SQL query execution. The application features an interactive interface that guides users through the connection process to PostgreSQL, illustrating how client connections reach the Postmaster and backend processes. It highlights the significance of connection pooling and the impact of increasing connections on backend processes. In the 'Query Lab' section, SQL statements are transformed into execution plans, showcasing processes like Parser, Rewriter, Planner, and Executor, along with execution paths such as Seq Scan and Index Scan. The shared_buffers area represents PostgreSQL's buffer cache, optimizing performance by reading data in 8KiB pages. Visualizations depict data pages stored on disk, with pathways showing the movement of pages to shared_buffers. The Write-Ahead Log (WAL) mechanism records changes for recovery, and transaction commits wait for WAL records to be flushed. Checkpointing writes dirty pages to storage in batches, which can cause latency spikes. PostgreSQL uses Multi-Version Concurrency Control (MVCC) to manage updated rows and dead tuples, which are cleaned up by autovacuum processes. The application also illustrates replication, where WAL from the primary server is sent to the standby server to maintain data consistency. Overall, PGSimCity provides a comprehensive view of PostgreSQL's components and potential performance issues related to caching, WAL management, checkpointing, vacuuming, and replication.
Your free VPN on Android often offers less protection than you might think
AppWizard
July 12, 2026

Your free VPN on Android often offers less protection than you might think

The MVPNalyzer Study conducted by researchers at the University of Michigan analyzed various VPN services, focusing on their performance metrics, data privacy practices, and effectiveness in bypassing geographical restrictions. The study revealed that some VPNs excel in speed while others prioritize security features, and not all services provide the same level of data protection, with certain logging practices raising concerns. The findings encourage users to closely examine VPN services regarding speed, privacy policies, and data management, while urging VPN providers to improve transparency and invest in user security technologies.
What Is Serverless PostgreSQL?
Tech Optimizer
July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.
Search