HiddenMerit Morning Post · Issue 84

📊 HiddenMerit Morning Post · Issue 84

Focus on Database Frontiers, Practical Insights for DBAs August 24, 2026 | 5 Selected Global Breaking News

01|Dameng, Kingbase, OceanBase Three‑Strong Pattern Established, Domestic Database Market Share Approaches 30% Tipping Point

According to the latest CCID Consulting and China Merchants Securities data, the domestic database software market reached RMB 7.93 billion in 2025, with a market share of 26.89%, and is expected to exceed RMB 10 billion in 2026, approaching a 30% market share. Dameng ranked first among domestic vendors with 13.2%, followed by Renda Kingbase at 11.5% and OceanBase at 10.8%. The combined share of these three in China’s relational database market has exceeded 35%. China Merchants Securities analysis suggests that after the domestic database market share breaches the 30% tipping point, it will accelerate into the large‑scale replacement phase, with core system replacement in key industries such as finance, telecommunications, and government becoming the main battlefield in the next phase.

  • DBA Perspective: Dameng, Kingbase, and OceanBase should be the priority directions for Xinchuang skill development. The breach of the 30% tipping point means domestic databases are shifting from “policy‑driven” to “market‑driven,” and DBA job demand in key industries will further expand.

02|DTCC 2026: Tencent Cloud Officially Releases TDSQL Nexa, Four AI Database Capabilities Enter Production

From August 20‑22, the 17th China Database Technology Conference (DTCC 2026) was held in Beijing. Tencent Cloud officially released TDSQL Nexa, an AI‑era data foundation that connects dispersed multi‑source enterprise data through a unified entry point, providing agents with business semantic understanding and permission governance capabilities.

Core Capabilities and Production‑Grade Data:

  • TDSQL Nexa Unified Data Platform: Over 10x computational performance improvement and over 60% cost reduction compared to open‑source combination solutions.
  • Nexa Knowledge Semantic Layer: Improves the accuracy of agent‑generated SQL by over 50% , with virtually no manual modification required in medium‑scale scenarios.
  • Agent Memory: Open‑sourced for 80 days with over 20,000 GitHub Stars; after integration, task success rates improved from 60% to 80% with a 66.3% cost reduction.
  • DatabaseClaw: Already in large‑scale production use at lead customers, with some fault root cause localisation completed in as little as 3 minutes.

Tencent Cloud Vice President Wang Yicheng stated that in the AI era, databases need four core capabilities: multi‑modal unified hosting, agent‑native architecture, semantics and memory, and governance and autonomy.

  • DBA Perspective: TDSQL Nexa’s semantic layer solves the problem of agents “not understanding business context.” DatabaseClaw’s 3‑minute root cause localisation provides DBAs with a quantitative benchmark for evaluating AI operations tools. Agent Memory’s 20,000 Stars data also indicates that AI agent memory storage is becoming a new core database workload.

03|GBASE GBase 8s Releases HK‑Tree Bitmap Index: Designed for HTAP Mixed Workloads

At DTCC 2026, GBASE GBase 8s Product Line General Manager Yang Wei systematically introduced the self‑developed HK‑Tree (High‑density Key Tree) index technology. The technology aims to enable indexes with high‑speed writes, high‑speed reads, and high‑density storage simultaneously – it can directly replace traditional B+Tree in low‑cardinality scenarios, delivering exponential performance advantages in wide‑table multi‑column query scenarios.

Real‑World Test Data: Based on testing with 360 million rows, HK‑Tree demonstrated excellent performance in inserts, updates, wide‑table multi‑index queries, and aggregation queries across cardinality ranges of 100 to 5,000, covering equality queries, range queries, multi‑condition combined queries, and typical analytical operations including COUNT, DISTINCT, and GROUP BY.

GBase 8s also released the TAC (Transaction Augmented Continuity) high‑availability solution, achieving transparent application‑level database node switchover through three layers of continuity guarantee – session continuity, transaction continuity, and current SQL connection continuity – ensuring business interruption during switchover is eliminated.

  • DBA Perspective: HK‑Tree bitmap indexes provide DBAs with a new tuning tool for low‑cardinality wide‑table scenarios, and its support for HTAP mixed workloads is worth particular attention. TAC’s transparent switchover directly addresses the “application error” concern that DBAs fear most during core system high‑availability failover.

04|CVE-2026-55642 (CVSS 9.8): dbx‑web Database Client Default No Password “Opens the Door”

The dbx‑web database client has been found to have a critical security vulnerability (CVE-2026-55642), with a CVSS score of 9.8 (Critical), affecting all versions up to v0.5.50.

Vulnerability Details: dbx‑web is the Web/Docker component of a cross‑platform database client. The authentication middleware is “fail‑open” when password_hash is None – requests pass authentication checks unconditionally. More critically, dbx‑web binds to 0.0.0.0 (all network interfaces) by default, and the official quick‑start process does not require setting a default password. Attackers can access API endpoints such as /api/connection/connect and /api/query/execute to execute arbitrary SQL using stored database credentials, achieving full read, modification, and destruction capabilities.

Remediation: Upgrade to v0.5.51 or higher. Temporary mitigation: do not expose dbx‑web/Docker services directly to the public internet; explicitly configure a strong password; and audit existing deployments for anomalous SQL activity.

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  • DBA Perspective: CVSS 9.8 means an extremely low exploitation barrier. The dual design flaw of “default no password + binding to all interfaces” leaves many out‑of‑the‑box deployments default‑exposed. DBAs are advised to immediately check whether dbx‑web services are deployed internally, upgrade versions, and implement strict network access controls on publicly exposed management tools.

05|OceanBase Launches First External Funding Round: Targeting RMB 2‑3 Billion, Annualized Revenue Exceeds RMB 1.4 Billion

According to Shanghai Securities News, Securities Times, and Caijing reports, Ant Group’s OceanBase is in talks with investors for a Series A funding round of approximately RMB 2‑3 billion, and has already engaged with multiple leading investment institutions. This marks OceanBase’s first external funding since its establishment.

Key Data: In 2026, OceanBase’s annualized revenue has exceeded RMB 1.4 billion (approximately $200 million) , up approximately 70% year‑on‑year. According to IDC, OceanBase ranked first in China’s distributed database on‑premises deployment market share in 2025. The company currently serves finance, telecommunications, transportation, manufacturing, retail, public services, internet, and other industries, with thousands of customers including Bank of Communications and China Mobile.

Strategic Transformation: OceanBase is evolving from a distributed database toward an AI data platform, benchmarking against San Francisco‑based Databricks (which is on track to reach $5.4 billion in annualized revenue, with AI products contributing $1.4 billion). The “lakehouse‑integrated” AI database released in June has been tested in dozens of customer scenarios, with plans to further advance commercialisation. In 2024, OceanBase established an independent board of directors and an independent employee equity incentive mechanism.

  • DBA Perspective: OceanBase’s first external funding is a landmark event for domestic databases moving toward “market‑oriented independent operations.” Benchmarking against Databricks means its strategic direction is extending from a “database company” to an “AI data platform” – DBA skills need to expand from “distributed database operations” to “AI data platform architecture and multi‑modal data management.”

📚 SQL Little Knowledge Point

This Issue’s Knowledge Point: What is the Database “Tipping Point” Theory?

China Merchants Securities, in its analysis report, proposed that after the domestic database market share breaches 30% , it will reach a “tipping point” for accelerated replacement.

Three Drivers of the 30% Tipping Point:

  1. Scale Effect: As the user base expands, product iteration accelerates, and the community and ecosystem mature rapidly.
  2. “Anchoring Effect” Reversal: The cognitive threshold shifts from “taking a risk with domestic databases” to “taking a risk with non‑domestic databases.”
  3. Core System Replacement Acceleration: After peripheral systems are validated, core system replacement enters the large‑scale phase.

Current Data: The domestic database software market share reached 26.89% in 2025, and is expected to breach the 30% tipping point in 2026. The combined share of Dameng, Renda Kingbase, and OceanBase has already exceeded 35%.

Implications for DBAs: The tipping point means that DBA job demand in domestic databases will accelerate from “pilot projects” to “large‑scale replacement.” DBAs should proactively develop deep operations skills for leading domestic databases (Dameng, Kingbase, OceanBase, etc.).

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

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