HiddenMerit Daily · Issue 8 May 3, 2026 Introduction: This issue focuses on the latest developments in the database sector, with emphasis on SQL Server, MySQL, PostgreSQL, Oracle, and domestic Chinese databases in areas such as security, AI integration, compatibility, and localized innovation (信创). Over the past two days (May 1–2, 2026), the industry has centered on security patch rollouts, PostgreSQL maintenance updates, and discussions around domestic database advancements—reflecting the ongoing evolution of data infrastructure under the AI-driven wave and a strong emphasis on security. Below are 10 selected key updates, each commented on from DBA (operational execution), CTO (strategic decision-making), and Investor (market potential) perspectives.

1. Microsoft SQL Server 2025 April 2026 Security Updates (CU3/GDR) Continue to Roll Out Recent SQL Server 2025 security patches addressing RCE and privilege escalation vulnerabilities are being rapidly deployed in enterprise environments.  DBA Perspective: Immediately validate CU/GDR in staging environments and use rolling upgrades to minimize business impact. Update monitoring alerts post-deployment. CTO Perspective: Strengthen security baselines in the Microsoft stack and accelerate migration of core systems to cloud-managed services while evaluating tighter integration with AI toolchains. Investor Perspective: Microsoft’s moat in enterprise AI + data security is further solidified, supporting long-term growth in cloud subscription revenue.
2. Oracle Critical Patch Update April 2026 Follow-up (High-Severity MySQL Patches) Oracle’s CPU with 481 patches, including critical MySQL CVSS 9.8 RCE vulnerabilities, is entering full rollout in large enterprises.  DBA Perspective: Prioritize MySQL 8.x/9.x instances; establish quarterly patching SOPs and use automation for batch verification. CTO Perspective: Reassess total cost of ownership for the Oracle ecosystem and drive non-core workloads toward multi-cloud/open-source alternatives. Investor Perspective: Oracle maintains strong positioning in the high-end market via AI Database capabilities, but frequent security incidents highlight maintenance cost pressures on margins.
3. PostgreSQL 18.3 Maintenance Release Enhances Stability PostgreSQL 18.3 and related maintenance releases address regressions from earlier 18.x versions, improving production reliability.  DBA Perspective: Patch 18.x production instances promptly; monitor query plans and vacuum behavior closely. CTO Perspective: PostgreSQL remains the open-source cornerstone—continue investing in capabilities like pgvector to build a unified transactional + vector platform. Investor Perspective: Strong vitality in the open-source database ecosystem benefits cloud services and extension tool companies in the AI application wave.
4. MySQL 8.0 EOL Pressure Mounts; Migration to 8.4 LTS Accelerates MySQL 8.0 is nearing formal End-of-Life, prompting enterprises and the community to expedite upgrades to 8.4 LTS.  DBA Perspective: Create a detailed upgrade roadmap, test replication and application compatibility, and leverage blue-green deployments. CTO Perspective: Use this as an opportunity to modernize the database stack with containerization and automated operations, reducing legacy technical debt. Investor Perspective: MySQL retains dominant web market share, but slower innovation under Oracle ownership favors MariaDB, Percona, and cloud-hosted alternatives.
5. Dameng (DM) DM9 and Other Domestic Database New Products Gain Traction Dameng’s DM9 (AI-integrated flagship) along with cloud and graph database offerings continue to attract attention in the localized innovation (信创) sector.  DBA Perspective: Conduct PoCs in domestic environments, focusing on Oracle compatibility and high-availability mechanisms. CTO Perspective: Incorporate localized substitution into core roadmaps and build hybrid “mainstream + domestic” architectures to meet both compliance and performance needs. Investor Perspective: Policy and technological tailwinds position domestic database leaders for rapid growth, highlighting strong investment potential across the supply chain.
6. SQL Server 2025 Vector and AI Capabilities See Increased Production Adoption Native vector support in SQL Server 2025 is accelerating in enterprise AI projects.  DBA Perspective: Optimize indexing and memory for vector workloads; monitor AI query resource usage via Query Store. CTO Perspective: Build end-to-end AI data platforms within the Microsoft ecosystem to shorten GenAI application development cycles. Investor Perspective: Surging demand for enterprise AI infrastructure continues to strengthen Microsoft’s competitive position.
7. Enhanced Oracle Compatibility in Domestic Databases Products such as Dameng and Nanda General (GBase) have further improved compatibility with PL/SQL, packages, and functions.  DBA Perspective: Use compatibility modes during migrations and employ data validation tools to ensure consistency. CTO Perspective: Accelerate core system localization while retaining open-source options like PostgreSQL for flexibility. Investor Perspective: Improved compatibility significantly lowers switching costs, poised to drive faster market penetration for domestic databases.
8. Oracle AI Database 26ai Practical Features Gain Enterprise Traction Semantic search and related capabilities are receiving more positive production feedback.  DBA Perspective: Perform thorough capacity planning and performance baselining before upgrades; leverage Autonomous features for reduced manual effort. CTO Perspective: Quickly activate AI capabilities in Oracle-heavy environments while establishing cross-platform data governance frameworks. Investor Perspective: Oracle is reshaping enterprise database value through AI, with its subscription model providing stable cash flow.
9. PostgreSQL pgvector Production Optimization Practices Shared Optimization case studies for pgvector in Postgres 18 environments for medium-to-large vector search workloads are increasing.  DBA Perspective: Fine-tune indexes and maintenance tasks in production; monitor I/O and CPU hotspots for vector queries. CTO Perspective: Promote single-database multi-model architectures to simplify AI tech stacks and reduce operational complexity. Investor Perspective: The vector database sector remains hot; PostgreSQL’s cost-effective ecosystem offers differentiation opportunities for many startups.
10. Database Security CVE Activity and Emphasis on Localized Security Recent RCE/SQLi risks across databases have drawn attention, with domestic solutions highlighting autonomous security capabilities.  DBA Perspective: Strengthen auditing and least-privilege controls; incorporate vulnerability scanning into daily checklists. CTO Perspective: Embed zero-trust security into database architecture and implement unified policies across multi-cloud environments. Investor Perspective: Data security is a non-negotiable requirement; database security tools and domestic solutions possess strong defensive growth characteristics. Issue Summary: The database field is at a critical juncture driven by deepening AI capabilities and security/compliance needs. Enterprises must balance innovation with risk management, with a hybrid mainstream + domestic strategy emerging as the norm. The next issue will continue tracking major version releases and localized implementation cases. Produced by HiddenMerit Team | Data-Driven Decisions · Insights Shaping the Future (Data sourced from public channels. Feel free to contribute any latest updates for discussion.)