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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.
EDB Postgres AI Launch: Shifting To Autonomous, Sovereign Data For The AI Era
Tech Optimizer
June 26, 2026

EDB Postgres AI Launch: Shifting To Autonomous, Sovereign Data For The AI Era

EnterpriseDB (EDB) introduced the EDB Postgres AI (EDB PG AI) platform on June 23, 2026, designed for AI applications to operate directly on live data rather than outdated copies from cloud data lakes. The platform allows organizations to host AI models, live data, and enterprise regulations within their infrastructure, reducing vendor lock-in and protecting regulated data. The EDB PG AI platform features a self-optimizing system that transforms PostgreSQL into an autonomous database, monitoring over 200 metrics for automated tuning and scaling. EDB claims performance troubleshooting can be up to 10 times faster, with issues resolved in minutes instead of the traditional 60 to 90 minutes. It also includes a converged query interface that integrates various data types into a unified engine, enabling AI agents to access authorized live data. An agent governance framework will be introduced in late 2026 to address risks associated with AI operations. EDB collaborates with IBM Power for a robust AI-ready infrastructure and integrates Red Hat Ansible Automation Platform for enhanced management capabilities.
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.
Marathon's Vault Breaker PvE mode is coming in July, and here's the twist: You leave your loot behind
AppWizard
June 23, 2026

Marathon’s Vault Breaker PvE mode is coming in July, and here’s the twist: You leave your loot behind

Marathon has introduced a new mode called Vault Breaker, allowing players to explore the raid map Cryo Archive solo or in groups of two or three. This mode features a unique progression system where players enhance their power across multiple matches with the goal of reaching the final vault. To participate, players need a "Sponsored Kit," a free loadout designed for balanced gameplay. Unlike traditional extraction shooters, players will not keep gear or items found during runs; instead, they collect Vault Data, a currency for upgrading the Sponsored Kit or purchasing gear for other modes. The mode is set to launch on July 21 as part of a mid-season update, which will also introduce the Cradle Evolution system and various quality-of-life improvements. Community reactions are mixed, with some players criticizing the inability to retain items, while others see it as an opportunity to learn the map without high stakes.
PostgreSQL 18 on Amazon Aurora and Amazon RDS: Performance enhancements
Tech Optimizer
June 20, 2026

PostgreSQL 18 on Amazon Aurora and Amazon RDS: Performance enhancements

PostgreSQL 18 addresses common performance challenges for users, including managing query performance across composite indexes, diagnosing memory spills in materialized Common Table Expressions (CTEs), and upgrading major versions without plan regressions. Key enhancements include skip scan optimization for multicolumn indexes, improved EXPLAIN functionality, and optimizer statistics that persist through major version upgrades. Skip scan optimization allows PostgreSQL to efficiently utilize multicolumn B-tree indexes even when leading columns are not specified in the WHERE clause, significantly improving query performance. The EXPLAIN command has been enhanced to include buffer statistics by default, providing deeper insights into query execution and resource usage. PostgreSQL 18 also introduces visibility into the storage of materialized nodes in query plans, indicating whether intermediate results were stored in memory or spilled to disk. A new metric, Index Searches, has been added to EXPLAIN ANALYZE output, indicating how many times the database traversed the index tree during query execution. Additionally, Self-Join Elimination (SJE) automatically detects and removes unnecessary inner joins of a table to itself, optimizing query performance. The autovacuum mechanism has been improved with the introduction of autovacuum_vacuum_max_threshold, which caps the number of dead tuples that can accumulate before autovacuum triggers a VACUUM, addressing issues with large tables. The vacuum_truncate parameter provides a server-wide control point to disable VACUUM’s file truncation behavior, reducing locking issues on busy systems. PostgreSQL 18 also separates the allocation of autovacuum worker slots from their usage, allowing for dynamic adjustments to autovacuum_max_workers without requiring a server restart. Finally, new columns in pg_stat_all_tables track cumulative time spent on maintenance operations, providing better insights into maintenance overhead for each table.
Microsoft and Adobe team up and make Photoshop 20% faster on Windows
Winsage
June 19, 2026

Microsoft and Adobe team up and make Photoshop 20% faster on Windows

Microsoft is collaborating with Adobe to enhance the performance of Photoshop, a widely used image editing software. The partnership focuses on optimizing operations within Photoshop, which is primarily developed in C++ and compiled using Microsoft’s Visual C++ (MSVC) compiler. Microsoft aims to improve performance for CPU-intensive tasks, particularly those that are latency-sensitive, such as brush responsiveness and file-opening tasks. The engineering team activated MSVC’s "peak-performance" compilation mode and explored profile-guided optimization (PGO) to refine executables. However, due to the complexity PGO introduced, they shifted to Sample-based Profile Guided Optimizations (SPGO), which uses hardware performance samples from actual release binaries. This method allows for greater flexibility in data collection and typically yields performance improvements of 5% to 15%. By combining MSVC’s peak-performance mode with SPGO, the teams achieved a 20% performance boost on x64 Windows systems and a 13% enhancement on Arm architecture. These optimizations resulted in improved responsiveness for critical tasks in Photoshop, enhancing the user experience in professional creative workflows.
"My jaw dropped": Dell just launched its new $599 XPS 13, and I don't think the Windows 11 laptop market will ever be the same
Winsage
June 16, 2026

“My jaw dropped”: Dell just launched its new $599 XPS 13, and I don’t think the Windows 11 laptop market will ever be the same

Dell's XPS 13 has been released with a starting price of 9 for students and ,199 for other customers. It features Intel Core Series 3 processors, a 13.4-inch display with 2.5K resolution, and a 120Hz refresh rate. The laptop includes Dolby Atmos tuning, Wi-Fi 7, Bluetooth 6, and a 1080p webcam with an IR sensor. Upcoming models will have Intel Core Ultra Series 3 processors and an additional Storm color option. The XPS 13 allows RAM upgrades to 16GB or 32GB, unlike the MacBook Neo, which has a fixed 8GB limit. Initial reviews have been positive, highlighting its design and pricing.
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