Segment 1: HiddenMerit Morning Post · Issue 91

Focus on Database Frontiers, Practical Insights for DBAs August 31, 2026 ｜ 5 Selected Global Breaking News

01｜NeverBlink Launches First ClickHouse AI Database Administrator

On August 25, NeverBlink announced that its AI database administrator (DBA) platform now officially supports ClickHouse, becoming the world’s first AI-native database resiliency and optimization service designed specifically for ClickHouse. Built by the team behind BigData Boutique with 15 years of production database experience, the platform delivers continuous health checks, automated root cause analysis, and prioritized remediation recommendations, helping teams prevent downtime, accelerate troubleshooting, and reduce database costs. Customer reports show 25-30% cost reduction and 80-90% reduction in database management time.

DBA Perspective: This is a landmark event for AI DBAs transitioning from internal tools to independent products. OLAP database operations have always been more complex than traditional OLTP databases. NeverBlink bringing AI DBA capabilities to the ClickHouse ecosystem signals that AI operations are evolving from “general-purpose databases” to “specialized scenarios.”

02｜PostgreSQL High‑Risk RCE Vulnerability PoC Publicly Disclosed: CVE-2026-14669 (CVSS 8.8), Immediate Upgrade Recommended

Full technical details and PoC for the PostgreSQL heap buffer overflow vulnerability (CVE-2026-14669) have been publicly released, with the Belgian Cybersecurity Center issuing an urgent alert. The vulnerability resides in PostgreSQL’s standard core to_char() date/time formatting function, which fails to properly validate user-controlled POSIX time zone abbreviation lengths when handling TZ and TZtz paths, leading to heap buffer overflow. Successful exploitation allows arbitrary code execution as the operating system user running the database.

Affected Versions: PostgreSQL 18 < 18.5, 17 < 17.11, 16 < 16.15, 15 < 15.19, 14 < 14.24, and development versions up to 19beta2. QiAnXin monitoring shows approximately 56,000 domestic and 1.156 million global risk assets.

Remediation: Upgrade to PostgreSQL 18.5, 17.11, 16.15, 15.19, 14.24, or 19beta3. Affected DBAs are advised to immediately check versions and prioritise upgrades within the Q3 patch window.

03｜OceanBase Leads China Distributed Database Market with 20.2% Market Share

Frost & Sullivan’s “2026 China Distributed Transaction Database Market Research Report” shows that during 2025H2-2026H1, the China distributed transaction database market reached approximately RMB 5.95 billion, with OceanBase ranking first with a 20.2% market share, followed by Alibaba Cloud at 17.9%, Tencent Cloud at 16.5%, and Huawei Cloud at 14.3% – the top four capturing nearly 69% of the market.

OceanBase has served over 400 financial institutions, with nearly 70% of trillion-yuan banks adopting its systems; one-third of central SOEs have deployed core systems on OceanBase, covering transportation, energy, telecommunications, and other critical industries. In June 2026, OceanBase released its next-generation lakehouse-integrated AI database, further extending data service capabilities for AI applications and agents.

04｜GBase 8c Tops HyBench HTAP Benchmark

GBASE’s next-generation AI-native database GBase 8c achieved the top score of H-SCORE 3810.36 in the HyBench benchmark. HyBench is China’s first HTAP database benchmark based on online transaction risk control scenarios, jointly developed by the China Software Testing Center and Tsinghua University. GBase 8c’s score is nearly five times the previous best, powered by its self-developed AI-Native Hybrid Execution Engine, which uses built-in reinforcement learning models at the query optimizer level to achieve microsecond-level workload awareness and execution path switching, fundamentally eliminating OLTP and OLAP resource contention and cross-node coordination latency.

05｜Database Industry Accelerates Toward “AI‑Native” Evolution

CAICT’s “Database Development Research Report (2026)” shows that China’s database market reached $9.49 billion (approximately RMB 67.796 billion) in 2025, projected to reach RMB 97.974 billion by 2028. The report highlights three distinct characteristics: industry development shifting from quantitative expansion to quality improvement; technology evolution accelerating toward “AI empowerment”; and industry applications moving from peripheral system replacement into core system breakthrough phases.

💡 SQL Little Knowledge Point

This Issue’s Knowledge Point: What is a Heap Buffer Overflow Vulnerability?

CVE-2026-14669 is a heap buffer overflow vulnerability. To understand it, here’s a simple analogy to distinguish heap from stack:

Dimension	Stack	Heap
Management	Automatically allocated/freed, like stacking plates	Manually allocated/freed, like warehouse shelves
Size	Fixed, smaller	Dynamic, larger
Speed	Fast	Relatively slow
Overflow Impact	Overwrites return address, typically immediately exploitable	Corrupts adjacent heap metadata, harder to exploit

In CVE-2026-14669, the to_char() function allocates a buffer (warehouse space) for time formatting but fails to check whether written data exceeds the allocated size. An attacker supplies an overly long POSIX time zone abbreviation – like stuffing 100 apples into a box designed for only 10 – causing excess data to overflow into adjacent memory regions, ultimately hijacking program execution flow.

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 4

Focus on Database Frontiers, In‑Depth Analysis August 31, 2026 ｜ 1 In‑Depth Feature Article

The Year of the Independent AI DBA: NeverBlink Gives ClickHouse a “Natural Language Operations Engine”

1. From Internal Tool to Independent Product: The “Year Zero” of the AI DBA

On August 25, 2026, NeverBlink announced that its AI database administrator platform now officially supports ClickHouse, becoming the world’s first ClickHouse‑dedicated AI DBA product. The significance of this news extends far beyond a single startup’s product launch.

Over the past 12 months, the evolution of AI DBAs has followed a clear path: Q4 2025 – Snowflake and Databricks add AI‑assisted SQL features to their platforms; Q1 2026 – LangChain and LlamaIndex introduce Agent for Data workflows; Q2 2026 – cloud vendors roll out Copilot for DB capabilities; by Q3 2026, independent AI DBA products begin to emerge – NeverBlink is at the forefront of this wave.

For large vendors, AI DBA is a natural extension of platform capabilities. But the significance of the NeverBlink model is this: it turns “AI fixes databases” into a standalone product, giving ClickHouse users the same capabilities even without a major vendor platform. This is the landmark event of AI DBAs moving from “internal tools” to “independent products.”

2. Why Did ClickHouse Become the AI DBA’s First Battlefield?

NeverBlink’s choice of ClickHouse as its first target was not accidental – it was a precise engineering decision based on multiple considerations.

OLAP scenarios are more naturally suited to natural language interaction. OLAP query patterns are “read‑heavy, write‑light” and tolerate query latency several seconds to tens of seconds longer than OLTP – providing a wider window for LLMs to complete the full “understand natural language → generate SQL → execute → feedback” loop.

ClickHouse’s system tables are exceptionally comprehensive. ClickHouse’s system.* metadata database covers over 100 diagnostic tables – query_log, parts, metrics, replicas, merges, etc. – providing LLMs with rich structured context for higher‑quality inference.

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Large community and enterprise user base. ClickHouse has long led DB-Engines OLAP rankings, with reports valuing it at $15 billion with over 4,000 customers. Large enterprise user base, large cluster scale, and clear DBA pain points make it an ideal AI DBA deployment target.

NeverBlink’s CEO Itamar Syn‑Hershko stated directly: “ClickHouse is an amazing technology. Its growth rate is unlike anything I’ve ever seen. We chose it as our first supported technology because it’s being widely used for mission‑critical business scenarios.”

3. What Can NeverBlink Do?

NeverBlink’s AI DBA platform consolidates daily DBA activities – schema review, SQL writing, replica tuning, capacity planning – into LLM‑driven natural language interaction. Specific capabilities include:

Natural language to ClickHouse SQL: with JOIN optimisation, aggregation pruning recommendations
Automatic schema design: field types, indexing strategies, partition key recommendations
Replica topology recommendations: optimal replica distribution based on query patterns and SLOs
Capacity planning: storage/compute recommendations based on query history and growth rates
Fault diagnosis: root cause inference combining system.metrics, system.query_log, and other system tables

Customer case studies show LinearB’s dashboard queries improved from 8 seconds to sub‑second, with significantly reduced memory usage and latency. Customer reports consistently show 25‑30% database cost reduction and 80‑90% reduction in database management time.

4. The Underlying Logic of the AI DBA: Not Replacing DBAs, Redefining DBAs

NeverBlink’s CEO shared a key insight in an interview: “Development teams are now expected to do more, and that includes databases. But you can’t afford to get database criticality wrong – if the data platform fails, there’s no second chance.”

This captures the core value of the AI DBA: it’s not replacing DBAs, but providing development teams with a “deep knowledge layer” that enables non‑DBAs to operate databases correctly.

Two layers of NeverBlink’s design are worth DBA attention:

The first is “guardrails.” Even if an LLM can generate SQL, you still need a layer of protection – preventing bad queries from reaching production. NeverBlink provides exactly that: gated queries, detection of expensive queries, optimisation recommendations, and more.

The second is “scaling expert experience.” The BigData Boutique team behind NeverBlink has accumulated 15 years of production database experience. They’ve productised that experience, making the same level of professional guidance available to any ClickHouse user.

5. Pressure for Domestic OLAP Engines to Follow Suit

For domestic OLAP engines (StarRocks, Doris, SelectDB, etc.), NeverBlink’s release creates a clear follow‑up pressure.

Domestic OLAP engines have been catching up to ClickHouse on product features for years, but in the AI DBA layer, the gap is widening:

Insufficient metadata richness: ClickHouse’s query_log has over 60 fields, while Doris/StarRocks audit logs typically have far fewer, providing less structured context for LLMs
Missing AI DBA ecosystem: No independent AI DBA products currently exist for domestic OLAP engines, and cloud vendor Copilot capabilities are primarily focused on RDS‑class products

As Modb.pro analysis notes, the real threat to database vendors is not “DBAs being replaced by AI,” but “DBA workflows being encapsulated in cloud services by large vendors, with customers no longer directly touching the underlying database.” The AI DBA redefines the “DBA role” as a “natural language orchestration layer,” compressing the engineering value of the database kernel to a “resource pool called by AI.”

6. Implications for DBAs

NeverBlink’s release sends a clear signal: AI DBAs are moving from “large vendor internal tools” to “independent products,” from “general‑purpose databases” to “specialized scenarios.”

For DBAs, this means three things:

The operational barrier for OLAP databases is being lowered by AI. Teams unfamiliar with ClickHouse internals can now quickly identify performance bottlenecks with AI assistance
The DBA work model is shifting from “command‑driven” to “strategy‑driven.” Repetitive diagnostic tasks are being taken over by AI, with the DBA’s core value shifting to “defining what operational policies should be executed by AI”
AI DBA capabilities for domestic OLAP engines will be the next competitive battleground. When ClickHouse users can perform operations in natural language, domestic engine users will expect the same experience

The “Year Zero” of the AI DBA has arrived. For DBAs, this is not a threat – it’s leverage.