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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.
CMA probes Microsoft business software over browser choice
Winsage
June 27, 2026

CMA probes Microsoft business software over browser choice

The UK Competition and Markets Authority (CMA) is seeking comments on Microsoft's business software ecosystem, with responses from various stakeholders, including the Browser Choice Alliance (BCA). The BCA expresses concerns that Microsoft uses its dominance in operating systems and productivity software to promote its own browser, hindering competition. They argue that Microsoft's distribution strategies and design decisions limit user choice and innovation. The transition from Windows 10 to Windows 11 is highlighted as a critical factor, as it allows Microsoft to influence browser choices during upgrades. The BCA links browser competition to the adoption of AI tools, warning that competitive issues in the browser space could affect the AI domain if Microsoft employs similar tactics. They advocate for independent selection of AI tools to prevent distortion of competition and user choice. The BCA concludes that Microsoft's practices negatively impact user experience and productivity for businesses in the UK, damaging innovative browser developers.
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AI (EDB PG AI) platform on June 23, 2026, designed for AI applications to operate directly on live data rather than outdated copies from cloud data lakes.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.
The database storage problem is solved. Here’s what comes next.
Tech Optimizer
June 25, 2026

The database storage problem is solved. Here’s what comes next.

Postgres has been a reliable transactional database for three decades, used for managing customer records and financial transactions. Innovations in the Postgres ecosystem are now focused on minimizing data movement rather than just data storage. The challenge of interoperability is becoming crucial, as organizations seek to share operational data seamlessly across various systems without creating additional copies or pipelines. Many organizations are spending as much effort on data movement as on data storage. Postgres is increasingly viewed as the authoritative system for critical information, and its role is evolving to facilitate better interaction with operational data. Technologies like logical replication and change data capture are enhancing Postgres's integration within data ecosystems. The rise of AI has highlighted the need for real-time access to operational data and has prompted organizations to reconsider the necessity of maintaining multiple copies of the same data. The database industry is shifting focus from optimizing storage to enabling effortless data sharing across systems. Postgres continues to adapt to new workloads and architectural patterns, maintaining its reputation as a stable foundation for operational data while expanding its capabilities through innovative extensions.
Latest EnterpriseDB features unify data for AI development
Tech Optimizer
June 24, 2026

Latest EnterpriseDB features unify data for AI development

EnterpriseDB is addressing challenges in AI development projects, particularly data sprawl, by introducing features in the EDB Postgres AI platform. The platform now includes Converged Analytics, which bridges operational and analytical data without complex ELT pipelines, and the Agentic Database, which transforms the system into an autonomous database that proactively manages over 200 metrics. These innovations aim to consolidate various data types into a single governed platform, reducing complexity and costs associated with database administration. The update also introduces governance capabilities at the data layer, expected to be available in the latter half of 2026, and a bring-your-own-cloud option for applying AI to data. Customer feedback has influenced these developments, highlighting the need for reduced manual intervention in data management.
Data analyst finds 'AI stigma' on Steam can reduce the number of reviews a game gets by around 53%—and the reviews it does get are more negative
AppWizard
June 21, 2026

Data analyst finds ‘AI stigma’ on Steam can reduce the number of reviews a game gets by around 53%—and the reviews it does get are more negative

Ross Burton's analysis examined 9,879 games released between January and October 2025, revealing that 17.9% of these games openly acknowledged their use of AI technology. Notable titles like Clair Obscur and Crimson Desert have successfully utilized AI in their development, while discussions about AI usage have overshadowed the new Crazy Taxi game. High-profile figures, including Epic Games CEO Tim Sweeney, oppose the need for disclaimers regarding AI use, and major studios like Sony continue to invest heavily in AI technologies.
Android 17 starts global roll-out to Pixel phones
AppWizard
June 17, 2026

Android 17 starts global roll-out to Pixel phones

Google has begun the global rollout of Android 17, starting with Pixel phones and expanding to other manufacturers through 2026. The operating system features robust integration with AI applications, enhanced security measures including default parental controls and quantum protection for user data, and improvements optimized for larger screens, making media consumption easier and more enjoyable.
Neon vs Supabase 2026: $1B Deal, Scale-to-Zero
Tech Optimizer
June 14, 2026

Neon vs Supabase 2026: $1B Deal, Scale-to-Zero

Neon and Supabase are two managed PostgreSQL platforms with distinct approaches. Neon adopts a serverless architecture that separates storage and compute, allowing databases to scale to zero when idle and enabling rapid database branching. Supabase, in contrast, provides a comprehensive backend-as-a-service that includes authentication, file storage, real-time subscriptions, and edge functions, all built around PostgreSQL. In 2025, Databricks acquired Neon for approximately billion, motivated by the observation that around 80% of databases created on Neon were generated by AI agents. Post-acquisition, users experienced reduced storage costs and improved pricing structures, although concerns arose regarding Neon's independence. Neon features instant database branching and a scale-to-zero capability, while Supabase offers a fully integrated backend with built-in authentication and storage. Neon operates on a usage-based pricing model, whereas Supabase has a flat-tier pricing structure. Both platforms support the pgvector extension for AI applications, but Supabase is fully open-source and allows for self-hosting, unlike Neon. The developer community recognizes Supabase for its ease of use and rapid application development capabilities, while Neon is praised for its innovative serverless features and cost efficiency. Migration between the two platforms is simplified due to their shared PostgreSQL foundation.
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