HiddenMerit Morning Post · Issue 101

Segment 1: HiddenMerit Morning Post · Issue 101

Focus on Database Frontiers, Practical Insights for DBAs September 10, 2026 | 5 Selected Global Breaking News

01|MongoDB C Driver Heap Overflow Vulnerability (CVE-2026-84969): Remote Code Execution Possible During BSON-to-JSON Conversion

The MongoDB C Driver has been found to have a memory handling vulnerability (CVE-2026-84969) in the BSON-to-JSON conversion helper function. When binary fields are encoded and the output is truncated under a caller-configured length limit, a small number of bytes may be written past the end of the heap buffer, causing a heap overflow.

  • DBA Perspective: The MongoDB C Driver is a foundational dependency for numerous MongoDB client applications and tools. DBAs using MongoDB should check the C Driver versions their applications depend on and confirm whether they are within the affected scope. It is recommended to work with development teams to assess versions and upgrade.

📌 HiddenMerit In‑Depth Preview: Today’s in‑depth article – “Omdia Report Deep Dive: OceanBase Tops Asia‑Pacific, the Globalisation Logic of Domestic Databases” – will explore the technical implications of the Omdia report and the strategic path for domestic database globalisation.

02|Domestic Database Tops Asia‑Pacific: OceanBase Ranks First in Omdia Distributed Database Market with 15.5% Share

Global technology research and advisory firm Omdia has released its “2026 Asia‑Pacific & Oceania Distributed Database Market Study.” By 2025 revenue, OceanBase ranked first in the Asia‑Pacific distributed database market with a 15.5% market share, ahead of Google Cloud Spanner, Tencent Cloud TDSQL, Huawei Cloud GaussDB, and Alibaba Cloud PolarDB‑X.

Key Data: The Asia‑Pacific distributed database market reached $900 million in 2025 and is projected to grow to $1.8 billion by 2029, with a five‑year compound annual growth rate of 19.3%. OceanBase currently serves over 4,000 customers globally, covering 16 countries and regions, 60+ regions, and 240+ availability zones.

Customer Validation: GCash (the Philippines’ national‑level wallet) supports millions of transactions per second after migration, with resource costs reduced by 40% ; TNG Digital (Malaysia’s national‑level financial services platform) achieved zero downtime under extreme scenarios of 40,000 transactions per second; Banque pour le Commerce Extérieur Lao Public (BCEL) signed a memorandum of understanding in August 2026 to introduce OceanBase.

Market Interpretation: Omdia notes that database vendors are increasingly integrating AI capabilities into distributed databases, evolving them from “systems of record” to “intelligent engines” that help agents better understand and digest data. The highly distributed nature and strong consistency of distributed databases make them well‑suited for AI agent workloads, providing low‑latency access to operational data for real‑time AI inference.

03|MongoDB Server Aggregation Framework Authorization Bypass (CVE-2026-82074): Least‑Privileged Users Can Read Tables Without Authorization

MongoDB Server has been found to have an incorrect authorization vulnerability (CVE-2026-82074). An authenticated user with minimal privileges can construct a specially formatted aggregation request that causes the server’s authorization subsystem to evaluate a different operation than the one actually executed, resulting in unauthorised read access to collection data in the target database.

  • DBA Perspective: This vulnerability allows low‑privileged users to bypass authorization and read data they should not have access to. DBAs using MongoDB should immediately check Server versions and monitor official security advisories for timely upgrades.

04|Labs Postgres MCP Server OS Command Injection Vulnerability (CVE-2026-87911): COPY TO PROGRAM Can Escape Read‑Only Sandbox

Amazon awslabs postgres-mcp-server has been found to have an OS command injection vulnerability (CVE-2026-87911) affecting versions before 1.1.7. The vulnerability resides in the read‑only enforcement mechanism of the SQL validation component – attackers can craft content containing COPY ... TO PROGRAM statements, triggering execution when an authenticated user interacts with the MCP Server in default read‑only mode, thereby executing operating system commands on the self‑hosted PostgreSQL server host without authentication.

Remediation: Upgrade to version 1.1.7 or higher. The vulnerability was fixed in the CVE assigned on September 9.

  • DBA Perspective: MCP Server is a key component for AI agents connecting to databases. This vulnerability reveals a critical issue: even when an agent is set to read‑only mode, COPY ... TO PROGRAM can still become an escape channel. DBAs using this component should upgrade immediately and restrict the network egress of MCP Servers.

05|Dameng H1 2026 Results: Revenue of RMB 713 Million up 36%, All‑in‑One Business Surges 519%

Dameng reported H1 2026 revenue of RMB 713 million, up 36.27% year‑on‑year; after deducting share‑based compensation, net profit attributable to shareholders was RMB 286 million, up 41.44% year‑on‑year, with growth outpacing revenue. Gross margin was 95.36% .

Software licensing revenue was RMB 657 million, up 36% year‑on‑year, with the DM9 new product delivering a performance leap, accelerating penetration into the core Xinchuang battlegrounds of government, finance, and energy. Database all‑in‑one revenue was RMB 27.12 million, up 519% year‑on‑year, with the DAMENG PAI V2.0 deeply adapting in both RAG and Agent knowledge bases (DB4AI) and intelligent O&M agents (AI4DB).

  • DBA Perspective: Dameng’s all‑in‑one business surging 519% confirms the trend of domestic databases moving from “software replacement” to “hardware‑software synergy.” Research reports suggest the all‑in‑one could evolve from an incremental business into a second growth curve. For DBAs, the all‑in‑one delivery model lowers the barrier to database deployment and tuning.

💡 SQL Little Knowledge Point

This Issue’s Knowledge Point: What is Omdia?

Omdia is a globally leading technology research and advisory firm, operated by Informa Tech’s Omdia brand (formerly IHS Markit’s technology research division), ranking alongside Gartner, IDC, and Forrester as an authoritative reference for enterprise IT purchasing decisions.

Sources of Omdia’s Authority:

  • Data Sources: Based on real vendor revenue data, not surveys or subjective scoring
  • Coverage: Global perspective covering North America, Europe, Asia‑Pacific, and other major markets
  • Methodology: Revenue rankings based on validated vendor financial data and market research

Omdia vs. Domestic Research Institutions:

Dimension Domestic Research Institutions (CCID, Frost & Sullivan) Omdia
Perspective China/Asia‑Pacific market Global market
Data Validation Vendor self‑reporting + industry research Vendor financial data + global research
International Recognition Domestic authority Internationally recognised

OceanBase’s top ranking in Omdia’s Asia‑Pacific regional ranking marks the first time a domestic database has ranked first in a regional ranking from a third‑party international research firm. This means the technical maturity and business value of domestic databases are beginning to gain recognition on a global scale.


HiddenMerit Team Production Slogan: 绩优隐于内,金石启新程 | Hidden deep. Merit bold. Forge ahead.

Segment 2: HiddenMerit In‑Depth · Issue 14

Focus on Database Frontiers, In‑Depth Analysis September 10, 2026 | 1 In‑Depth Feature Article

Omdia Report Deep Dive: OceanBase Tops Asia‑Pacific, the Globalisation Logic of Domestic Databases

1. A Market Coordinate Shift from “China” to “Asia‑Pacific”

Recently, global technology research and advisory firm Omdia released its “2026 Asia‑Pacific & Oceania Distributed Database Market Study.” By 2025 revenue, OceanBase ranked first in the Asia‑Pacific distributed database market with a 15.5% market share, ahead of Google Cloud Spanner, Tencent Cloud TDSQL, Huawei Cloud GaussDB, and Alibaba Cloud PolarDB‑X.

Omdia data shows the Asia‑Pacific distributed database market reached $900 million in 2025 and is projected to grow to $1.8 billion by 2029, with a five‑year CAGR of 19.3%. Market growth is spreading from China to other Asia‑Pacific economies – India’s fintech sector is entering an acceleration phase, Japanese and Korean tech platform companies are actively adopting distributed databases, and Southeast Asian fintech and neobank expansion is also driving new demand.

This is the first time a domestic database has topped a regional ranking from a third‑party international research firm. Over the past few years, OceanBase has been ranked first by domestic institutions such as CCID Consulting and Frost & Sullivan multiple times; Omdia’s global‑perspective report validates its globalisation capability from another dimension.

2. Why OceanBase? – Three Driving Factors

Driver 1: China Market’s “Extreme Stress Test”

OceanBase was originally born out of Ant Group’s need to handle the “Double 11” payment surge – the legacy database couldn’t handle Alipay’s transaction volume, forcing the creation of a distributed architecture. Over the past decade, OceanBase has deeply rooted itself in financial core businesses, serving over 400 financial institutions, with nearly 70% of trillion‑yuan‑asset banks deploying their core systems on it.

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“Double 11″‑level concurrency pressure, financial core system strong transaction consistency requirements, 7×24 uninterrupted operation – these extreme demands from the Chinese market became the “proving ground” for OceanBase’s technical maturity.

Driver 2: Asia‑Pacific Market Demand Overlaps Heavily with China’s Demand

Omdia’s report notes that Asia‑Pacific customer requirements still focus on high concurrency, strong consistency, zero downtime, and elastic scaling. The Philippines’ GCash (“8 out of 10 Filipinos use it”) high‑concurrency pressure, Malaysia’s TNG Digital zero‑downtime challenges, Indonesia’s DANA managing 200 million accounts – these demands are essentially the same type of problem as China’s “Double 11” scenario.

A technology system honed in China’s complex scenarios can be seamlessly transferred to similar demands in Asia‑Pacific markets.

Driver 3: AI Agents Are Becoming the “New Users” of Databases

Omdia specifically notes in its report that database vendors are increasingly integrating AI capabilities into distributed databases, evolving them from “systems of record” to “intelligent engines.” The highly distributed nature and strong consistency of distributed databases make them particularly well‑suited for AI agent workloads, providing low‑latency access to operational data for real‑time AI inference.

In June, OceanBase launched its lakehouse‑integrated AI database, unifying the openness and massive storage capabilities of data lakes, the transaction processing and analytical capabilities of databases, and multi‑modal data processing capabilities into a single strongly‑consistent data foundation. This product direction directly responds to the trend of “agents becoming the new consumers of data.”

3. What Does the Omdia Top Ranking Mean for DBAs?

1. The scope of OceanBase skills is expanding from “domestic Xinchuang projects” to “overseas projects”

OceanBase currently serves customers across 16 countries and regions, 60+ regions, and 240+ availability zones. When a domestic database can simultaneously meet the data compliance and business requirements of different countries – the Philippines, Malaysia, Indonesia – its technology stack’s versatility and maturity have been validated multiple times. DBAs with OceanBase skills are no longer limited to the domestic Xinchuang market.

2. The Asia‑Pacific market competitive landscape is taking shape

Omdia’s report shows the Asia‑Pacific distributed database market reached $900 million in 2025 and is projected to reach $1.8 billion by 2029. In a rapidly expanding market, the ecosystems of leading vendors will attract more partners and talent. When planning skill development, DBAs should not only focus on the Chinese market but also look at the broader Asia‑Pacific database ecosystem.

3. AI agent workloads are becoming a new consideration in database selection

Omdia’s assessment is that the architectural characteristics of distributed databases make them particularly suitable for AI agent workloads. This means that in future database selection, “agent‑friendliness” may become a decision factor as important as “performance.” DBAs need to start understanding AI agent data access patterns – high‑frequency small batches, cross‑session persistence, multi‑tenant logical isolation – and how databases can be optimised for these patterns.

4. The Bigger Picture: Domestic Databases Moving from “Replacement” to “Definition”

Omdia’s ranking validates a trend: domestic databases are moving from being “Oracle replacers” to “definers of Asia‑Pacific data infrastructure.”

Over the past decade, the core narrative for domestic databases has been “replacing Oracle.” Now, OceanBase’s top ranking in the Asia‑Pacific market means that a technology system honed in China’s complex scenarios has gained commercial recognition in the regional market.

For DBAs, this means establishing a new coordinate system – no longer using “compatibility with Oracle/MySQL” as the sole evaluation standard, but starting to understand new dimensions such as “distributed architecture scalability boundaries,” “unified multi‑modal data management capability,” and “adaptability to AI agent workloads.”

OceanBase’s globalisation is moving from point‑market entry to large‑scale development. For DBAs, this may mean new boundaries for career development space are being opened.

HiddenMerit Team Production Slogan: 绩优隐于内,金石启新程 | Hidden deep. Merit bold. Forge ahead.

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