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Tech Optimizer
July 2, 2026

EDB Named a Leader in Multimodel Data Platforms Evaluation

EDB has been recognized as a Leader in The Forrester Wave: Multimodel Data Platforms, Q2 2026, with EDB Postgres AI (EDB PG AI) achieving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem criteria. EDB PG AI integrates transactional, analytical, and AI workloads into a unified platform, supporting open-source frameworks and enabling various deployment options. The platform features governance at the data layer and is designed for operational efficiency, allowing organizations to implement sovereign AI quickly. EDB PG AI can be deployed on-premises, in hybrid environments, or across cloud infrastructures, backed by partnerships with companies like Dell, IBM, and NVIDIA.
EDB named Forrester Leader in multimodel data platforms
Tech Optimizer
July 2, 2026

EDB named Forrester Leader in multimodel data platforms

EDB has been recognized as a Leader in Forrester's Multimodel Data Platforms evaluation for Q2 2026 for its EDB Postgres AI platform, receiving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem. The platform is designed to manage mixed translytical and AI workload demands, offering flexibility in deployment across on-premises, hybrid, and multi-cloud environments. EDB's recent product update introduced agentic database and converged analytics functionalities, reportedly accelerating database tuning by up to tenfold and reducing analytics ownership costs by as much as 58%. The platform is supported by a partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro, which plays a crucial role in influencing database purchasing decisions. EDB's roadmap focuses on advancements in GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph functionalities. The emphasis on sovereign deployment aligns with organizations' needs for control over sensitive data amidst stricter regulations.
Why Antivirus Is No Longer Just About Virus Protection
Tech Optimizer
July 1, 2026

Why Antivirus Is No Longer Just About Virus Protection

Antivirus software has evolved from focusing solely on detecting and eliminating computer viruses to providing comprehensive digital security solutions. The modern threat landscape includes advanced persistent threats, ransomware, phishing schemes, fraud apps, and AI-enabled cyber threats, necessitating a broader approach to cybersecurity. Current digital security systems must detect behavioral anomalies, protect user identities, monitor network activity, identify scam links, and provide multi-layered protection across various platforms. Contemporary antivirus solutions now incorporate AI-based threat detection, cloud intelligence, web protection, email security, identity protection, and ransomware monitoring, reflecting a shift from reactive measures to proactive prevention. Users are now active holders of digital identities, and antivirus software is expected to safeguard their entire digital lives.
Google App Update: A Stunning Gemini AI Upgrade For Mac Users
AppWizard
July 1, 2026

Google App Update: A Stunning Gemini AI Upgrade For Mac Users

Google is developing a feature that allows Android users to remotely command and monitor AI workflows on their Macs through the Android Google app. This feature is linked to Gemini Spark, Google's AI agent, and includes a "new thread" system to prevent data leakage. The upgrade aims to create a cross-platform ecosystem for Android users to utilize AI capabilities on Apple-silicon Macs. The feature, internally codenamed "Robin," requires Gemini for macOS to be installed on Apple-silicon devices and allows users to perform tasks like summarizing PDFs or triggering scripts remotely. This functionality is currently exclusive to Mac users, providing them an advantage over Windows users who lack a standalone Gemini desktop client. The Gemini Spark AI framework is still in an experimental stage, and its performance on macOS has yet to be fully validated.
Google swears (again) that data-sharing rules will help scammers, threaten your search history
AppWizard
June 30, 2026

Google swears (again) that data-sharing rules will help scammers, threaten your search history

Google is opposing the European Union's proposed amendments to the Digital Markets Act (DMA), warning that these changes could jeopardize user privacy and security. The DMA aims to reduce the dominance of major tech platforms by requiring gatekeepers like Google to share more data with competitors. Google is particularly concerned about the implications of sharing search data and granting third-party AI services access to sensitive Android features, fearing that this could lead to increased fraud and cyberattacks. The European Commission is pushing for Google to provide rival search engines with access to anonymized search data to enhance competition, but Google argues that once this data leaves its infrastructure, it becomes difficult to protect. DuckDuckGo and some researchers believe the Commission's proposals adequately address privacy risks, while others acknowledge the risks but suggest they should be balanced against technical protections. Additionally, EU regulators are advocating for deeper integration of competing AI assistants with Android, which Google warns could compromise existing security measures. Apple has shown support for some of Google's concerns regarding access to operating systems.
Bypassed Windows 11 shows surprising stability on ancient, completely unsupported hardware
Winsage
June 30, 2026

Bypassed Windows 11 shows surprising stability on ancient, completely unsupported hardware

Windows 11 has elevated system requirements, necessitating four times the memory and storage for AI-driven applications. It can technically run on a minimum of 4GB of memory, but current hardware pricing is challenging due to a silicon shortage affecting various memory types. A retro hardware enthusiast named Omores installed Windows 11 on a DDR1-based system using an ASRock ConRoe865PE motherboard, Intel Core 2 Quad Q6600 processor, 3GB of DDR1 RAM, and an ATI Radeon HD 4650 AGP graphics card. He overcame the lack of AGP support in Windows 11 by using legacy drivers, achieving satisfactory performance for older applications and games. However, Windows 11 version 24H2 requires SSE4.2 CPU instructions, which are not supported by processors from the AGP era, making version 23H2 the last compatible release for such systems.
From casual hobby to luxury investment: memory costs hit PC gaming hard
AppWizard
June 28, 2026

From casual hobby to luxury investment: memory costs hit PC gaming hard

Two years ago, the gaming landscape was improving with affordable video games and devices like the Steam Deck making PC gaming more user-friendly. However, demand for AI data centers has disrupted manufacturing, causing component prices to rise significantly. Microsoft reported a 2.5 times increase in costs for memory and storage, leading to a 20% price hike for the Xbox Series S in the U.S. starting in August. Apple also announced a similar 20% increase on its hardware. The MSI Claw 8 EX AI+ has been launched at a price of ,499 in Australia, offering advanced gaming performance but at a steep cost. The Steam Deck remains a popular option at 9, while the ASUS ROG Ally provides alternatives for Windows users. The Nintendo Switch 2 offers a 1080p, 120Hz screen at a lower cost but lacks many major releases. Valve's Steam Machine was initially expected to start at 9, but due to the component crisis, it now starts at 9 for a 512GB model. DIY PC builds are becoming more accessible, with a recent build costing just over ,000. Consoles from Sony and Microsoft may offer better pricing for components despite recent increases. Cloud streaming services like Nvidia GeForce NOW and Xbox Game Pass are also emerging as cost-effective options.
EDB launches agentic Postgres AI with governance tools
Tech Optimizer
June 26, 2026

EDB launches agentic Postgres AI with governance tools

EDB has introduced new features for its Postgres AI platform, including an agentic database and converged analytics capabilities, allowing enterprises to run AI agents alongside transactional workloads on a unified PostgreSQL foundation. The platform includes governance tools that position control mechanisms at the data layer and integrates AI processing with operational data, enabling businesses to connect live records with AI systems without transferring sensitive information. The agentic database can monitor over 200 metrics, identify issues, suggest changes, and apply fixes automatically based on user-defined policies. It consolidates various data types through a single SQL interface, significantly accelerating database tuning processes and enhancing application performance. EDB has also expanded its analytics capabilities with a zero-ETL architecture for real-time analysis and large-scale warehousing. EDB PG AI for ClickHouse targets real-time analysis, while EDB PG AI for WarehousePG focuses on historical analysis at petabyte scale. The platform claims up to 30 times faster query performance compared to legacy systems and improved scaling efficiency. EDB's platform integrates vector search and retrieval for AI agents, demonstrating lower query latency and higher retrieval accuracy than competitors. NTT East is using EDB PG AI for AI-driven network operations, while the governance feature manages agent access at the data querying point using native Postgres roles and row-level security. The platform can be deployed on-premises, in hybrid environments, or across cloud infrastructures, with partnerships including Dell, IBM, Nvidia, Red Hat, and Supermicro.
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