📊 HiddenMerit Daily · Issue 18
Focus on Database Frontiers, Practical Insights for DBAs May 13, 2026 ｜ 5 Selected Global Breaking News
01｜Dameng Releases Four Strategic New Products, Domestic Database Moves Toward Intelligent Full‑Stack Era
Recently, Dameng Data released four strategic flagship new products: the next‑generation Dameng Database Management System DM9, the new DAMENG PAI V2.0 all‑in‑one machine, Qiyun Database V4.0, and the graph database GDMBASE V4.0. The four products cover core scenarios including centralised, distributed, cloud‑native, all‑in‑one, and graph databases. DM9 features a centralised‑distributed integrated architecture, enabling enterprises to migrate smoothly without system refactoring, adding over 450 new features and fully integrating database design agents and operations agents, making AI and databases mutually endogenous. GDMBASE V4.0 supports efficient traversal of trillion‑edge graphs, and its multi‑modal fused query capability helps developers build AI‑native applications with lower complexity.
· DBA Perspective: DM9’s intelligent O&M agent capabilities will automate routine inspections, fault diagnosis, and other basic operational tasks at scale. The DBA role will evolve from “manual inspection” to “agent policy manager” – setting automatic response rules, auditing AI decision‑making, customising high‑availability SLAs, and defining capacity management baselines. This is a career watershed – evolve or fall behind. · CTO Perspective: Dameng’s four new products build a complete enterprise‑grade technology matrix, providing composable, scalable one‑stop options for domestic replacement in critical scenarios such as finance, government, and telecommunications. DM9’s centralised‑distributed integration significantly reduces the decision pressure of choosing among multiple database types during digital transformation. · Investor Perspective: Dameng’s simultaneous release of four full‑stack strategic products demonstrates the systematic evolution capability of leading domestic vendors toward high‑end, intelligent, and diversified offerings. Tracking Dameng’s large‑scale delivery progress in key sectors like finance and telecommunications is an important leading indicator for assessing its market share growth and commercial value realisation.
02｜CVE-2026-7428 Exposed: AlloyDB REST API Default Weak Password Affects Cloud PostgreSQL Users Broadly
CVE-2026-7428 (CVSS 7.3), disclosed on May 5, was rated as critical by VulDB. The core issue lies in Google Cloud AlloyDB for PostgreSQL using an insecure default password in its REST API and Terraform management paths, potentially allowing remote unauthenticated attackers to gain full administrative access to the database. The vulnerability affects some clusters created before November 3, 2025. Fortunately, exploitation is limited – it only affects clusters deployed via the API or Terraform, users are required to upgrade to versions after November 3, 2025, and other clients are blocked by default. Meanwhile, Tencent Cloud’s「Database + AI」Technology Summit (focused on AI‑In‑Database native integration) scheduled for May 29, 2026, has been generating frequent preview buzz. Additionally, the 2026 XCOPS Intelligent O&M Managers Annual Conference (Guangzhou) on May 22 will focus on practical implementation of AI agents and large model applications in database scenarios.
· DBA Perspective: Although AlloyDB is a managed service, the default credential leak indicates that DBAs cannot fully trust cloud vendors’ default security configurations when integrating managed databases – especially during automated provisioning. It is strongly recommended to enforce default credential modification as a mandatory item in deployment checklists. · CTO Perspective: This vulnerability falls under “customer‑side security configuration oversight”, reminding CTOs that cloud‑native database selection should not only consider performance or compatibility, but also evaluate whether the platform’s governance mechanisms provide adequate blocking and auditing against insecure user configurations. · Investor Perspective: As database cloud adoption and multi‑cloud deployment become the norm, the market for cloud security configuration auditing and anomaly permission scanning tools is growing significantly. Security companies that support multi‑cloud configuration error detection will benefit from the next wave of enterprise cloud security spending.
03｜HashiCorp Previews Major Update (May 13): Three Key Enhancements for Vault and Other Products
HashiCorp officially previewed an online product update launch scheduled for 11:00 AM ET on May 13 (May 14, 0:00 Beijing time). The update will include three directions: expanding Vault’s dynamic database secrets engine to support credential auto‑rotation and governance for more database instance types; delivering a combined Terraform and Waypoint “platform engineering” enhancement for infrastructure self‑service and governance; and combining secret scanning with dynamic database secrets, embedding them into the CI/CD process to improve data asset security.
· DBA Perspective: When designing high‑security, compliant database access control chains, DBAs will increasingly need to incorporate capabilities such as credential auto‑rotation, just‑in‑time issuance, and role‑based dynamic governance. HashiCorp’s strategic direction confirms this trend is becoming a core requirement for asset management. · CTO Perspective: New technologies like large language models and vector search are rapidly changing the protection logic for data infrastructure. HashiCorp provides an important governance framework for securing next‑generation AI systems and unstructured data storage environments. · Investor Perspective: HashiCorp prioritising database security enhancements in its release roadmap signals that this sector is attracting increasing enterprise spending. Vendors providing data infrastructure security lifecycle management are entering a significant window for building enterprise information security systems.
04｜Vastbase Plans Private Placement of Up to RMB 702M, Doubles Down on HTAP and Multi‑Modal Time‑Series Databases
On the evening of May 11, Vastbase (603138.SH) disclosed its 2026 private placement plan, aiming to raise up to RMB 702 million, of which RMB 489 million will be invested in a next‑generation high‑performance hybrid transaction/analytical database project and RMB 213 million in a multi‑modal time‑series database project. Vastbase believes that the traditional OLTP+OLAP separated architecture can no longer meet the real‑time, integrated, and high‑concurrency demands of finance, retail, telecom, and other scenarios. HTAP integrated architecture can handle both high‑concurrency transactions and batch data analysis in a single system. However, the company has recorded four consecutive years of losses, with net loss attributable to shareholders in Q1 2026 widening to RMB 41.77 million, operating cash flow plummeting 214% year‑on‑year. The controlling shareholders, Chen Zhimin and Zhu Huawei, had previously been penalised by the securities regulator for illegal shareholding reductions, and the company’s cumulative dividends over six years of listing amount to only RMB 15.78 million.
· DBA Perspective: HTAP integrated architecture means DBAs will say goodbye to ETL pipelines and dual‑system OLTP/OLAP maintenance, but it also requires DBAs to master hybrid workload tuning – balancing transaction response and batch analysis within the same system, requiring fine‑grained resource scheduling and SLA guarantees. · CTO Perspective: Vastbase’s customers are primarily state‑owned enterprises. Its private placement coincides with the deepening of financial Xinchuang. If successful, it will add a more complete domestic HTAP option for telecom and energy scenarios. However, the management’s history of repeated project delays and lack of profitability improvement are risks that cannot be ignored. · Investor Perspective: The biggest controversy around Vastbase’s private placement is “four consecutive years of losses + controlling shareholder illegal shareholding reduction” – there is significant uncertainty as to whether the large offering will be approved. Investors should focus on the composition of subsequent private placement subscribers and the efficiency of market order conversion.
05｜2026 Database + AI Technology Summit Preview: AI‑In‑Database Becomes Industry Consensus
A technology summit focusing on deep integration of databases and AI will officially open on May 29, 2026. The theme goes beyond simple tool combinations to achieve deep internalisation and native integration of large models with the database kernel (AI‑In‑Database). The summit will present, for the first time, the technical architecture of a native intelligent data foundation, including three core innovations: an Agent “memory brain”, a database Agent tool suite, and multi‑modal vector hybrid search. The shift from “DB+AI” to “AI‑In‑Database” means AI capabilities are no longer superficial application‑layer add‑ons but are internalised into the database kernel – enabling integrated pipeline processing of data computation and intelligent decision‑making. In a previous test for an intelligent customer service scenario, a traditional database had a latency of 3.2 seconds, while the native intelligent architecture reduced latency to 0.17 seconds – a difference rooted in fundamental architectural restructuring.
· DBA Perspective: AI will bring a qualitative leap in database performance, while data security will face new audit boundary challenges due to the built‑in Agent “memory brain”. With multi‑modal vector hybrid search replacing single structured indexes, DBAs need to proactively build vector query performance monitoring systems and learn intelligent agent log access tracking. · CTO Perspective: The emergence of AI‑In‑Database marks a new stage where intelligent infrastructure moves from “application‑layer assembly” to “system‑layer structuring”. Kernel‑level integration of databases and AI will directly lower the barrier for enterprises to implement AI applications such as intelligent customer service and risk decision‑making. CTOs should elevate database native intelligence to a key selection factor when evaluating AI technology stacks. · Investor Perspective: The May 29 summit is a concentrated showcase of the “AI‑In‑Database” concept in the domestic database space. This track represents the evolution of AI infrastructure from tool combinations to deep internalisation, and its commercialisation progress can serve as a leading indicator for assessing investment value in the data intelligence sector.
📅 Recent Database Hot Topics Recap
Date Event Core Highlights May 11 Dameng releases four strategic new products DM9 (centralised/distributed integration), Qiyun V4.0, graph database GDMBASE V4.0, covering finance, government, telecom core scenarios May 11 Vastbase private placement of up to RMB 702M (preliminary) RMB 489M for HTAP, RMB 213M for multi‑modal time‑series; four years of losses + controlling shareholder reduction controversy impact market expectations May 12 2026 domestic cloud database ranking released DCB Consulting: Dameng Qiyun ranked first, followed by Huawei Cloud, Alibaba Cloud, Tencent Cloud, Ant Group OceanBase, PingCAP TiDB May 12 CVE-2026-7428 disclosure AlloyDB for PostgreSQL REST API default weak password vulnerability affecting cloud PostgreSQL users broadly May 13 HashiCorp product update launch (preview) Focus on Vault dynamic credential auto‑rotation, platform engineering self‑service, and secret scanning + SSC Agent with cloud integration May 22 XCOPS Intelligent O&M Managers Annual Conference (Guangzhou) Focus on large model application practices, vector search, financial‑grade database transformation May 29 Tencent Cloud「Database + AI」Technology Summit (scheduled) Full presentation of AI‑In‑Database strategy, including Agent memory brain, multi‑modal vector hybrid search, and other core engines
📌 Issue Summary
News Core Keywords DBA Actions CTO/Decision‑Maker Focus Investor Perspective Dameng four new products DM9, centralised‑distributed integration, graph database Self‑study AI agent O&M policy design; evolve from execution to rule automation Tailor Dameng product matrix selection by scenario; reduce multi‑vendor integration costs Track order growth and customer retention for strategic new products in core industries CVE-2026-7428 AlloyDB, default weak password Conduct full‑lifecycle security audits for managed instances; enforce mandatory password rotation and configuration scanning Value cloud management platforms with closed‑loop configuration blocking capabilities Cloud configuration scanning services see high growth; invest in platform risk governance SaaS HashiCorp update preview Dynamic database secrets, platform engineering Proactively adopt dynamic credentials and secret scanning; enhance automated compliance for end‑to‑end DB access Integrate database secret auto‑rotation into platform engineering self‑service Infrastructure security + management integrated services market enters supply‑demand growth Vastbase private placement HTAP integration, four years of losses HTAP hybrid workload tuning becomes key DBA skill; beware of project delay risks Assess HTAP product delivery capability for Xinchuang needs and financial health Subscriber composition and market conversion rates are core variables for this track 2026 Database+AI summit preview AI‑In‑Database, Agent memory brain, multi‑modal vector retrieval Proactively build vector query monitoring and intelligent agent log audit paths AI‑In‑Database lowers AI application barriers; kernel intelligence becomes key selection factor Commercialisation progress of AI‑In‑Database is a bellwether for data intelligence sector valuation
Note: Items marked with an asterisk () are previews or updates as of early May 13 and do not yet have formal results reported; they can serve as forward‑looking references for May 13–14.*
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