# 📊 HiddenMerit Daily · Issue 39 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 9, 2026 ｜ 5 Selected Global Breaking News ## 01｜MongoDB 8.3 “AI‑Native” Launches Domestically, Alibaba Cloud Fires First Shot in AI Database Race In early June, Alibaba Cloud became the first in China to launch MongoDB 8.3. MongoDB 8.3 introduces an “AI‑Native” design philosophy – not “add‑on” AI support, but deep integration of three major capabilities – vector search, auto‑embedding, and intelligent O&M – directly into the database engine, achieving a trinity of “native search, native vectorisation, native O&M.” The three native AI capabilities in detail: – **Native Search**: Vector and full‑text search are built into the engine layer; a single pipeline completes hybrid search combining “vector + full‑text + scalar” (with `$rankFusion` stage using the RRF algorithm for score fusion), eliminating the need for applications to switch between multiple systems. – **Native Vectorisation**: Write‑time auto‑embedding, transparent to applications, zero sync overhead; the engine layer automatically listens for data changes via Change Stream, calls models to generate vectors, writes back to documents, and triggers index updates. – **Native O&M**: Natural language management, AI‑assisted slow query analysis, index recommendations, and parameter tuning, covering […]

# 📊 HiddenMerit Daily · Issue 38 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 8, 2026 ｜ 5 Selected Global Breaking News ## 01｜Alibaba Cloud Launches MongoDB 8.3 Domestically: Three “Native” Capabilities for Vector Search, Auto‑Embedding, and Intelligent O&M On June 1, Alibaba Cloud became the first in China to launch MongoDB 8.3. This version deeply integrates three major AI capabilities – vector search, auto‑embedding, and intelligent O&M – directly into the database engine, moving away from “add‑on” AI solutions and achieving an AI‑Native design philosophy of “no data movement, no capability assembly, simplified architecture.” **Three Native AI Capabilities**: – **Native Search**: Vector and full‑text search are built into the engine layer; a single pipeline completes hybrid search combining “vector + full‑text + scalar,” eliminating the need for applications to switch between multiple systems. – **Native Vectorisation**: Write‑time auto‑embedding, transparent to applications, zero sync overhead; the entire flow from data write to vector generation is completed within the same database. – **Native O&M**: Natural language management; AI‑assisted slow query analysis, index recommendations, and parameter tuning, covering all versions. MongoDB 8.3 also delivers impressive OLTP performance: compared to version 8.0, write throughput increases by 35%, read throughput […]

# 📊 HiddenMerit Daily · Issue 37 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 5, 2026 ｜ 5 Selected Global Breaking News ## 01｜Microsoft Azure HorizonDB Launches Public Preview: A PostgreSQL Rebuilt for AI Agents, Storage Engine Rewritten in Rust On June 2, at the Build 2026 conference keynote, Microsoft officially announced that **Azure HorizonDB** has entered public preview. This is a PostgreSQL‑compatible cloud database rebuilt from the ground up for agentic AI workloads, now available in 5 Azure regions globally. HorizonDB is not a simple upgrade to Azure Database for PostgreSQL, but a completely new architectural design. Key technical points: – **“Database‑as‑a‑log” architecture**: Transactions are committed directly to a shared WAL (Write‑Ahead Log) storage, achieving sub‑millisecond multi‑region commit latency and eliminating the multi‑step coordination overhead of traditional PostgreSQL. – **Rust storage engine**: Microsoft explicitly chose Rust over C/C++ to eliminate memory safety vulnerabilities such as buffer overflows at the language level. This design is highly significant for unattended AI agent high‑frequency query scenarios. – **Storage‑compute separation**: Storage automatically scales to 128TB, compute can scale to 3072 vCores, and supports up to 15 read replicas. – **DiskANN vector search**: Natively embedded vector search capability, supporting vectors […]

# 📊 HiddenMerit Daily · Issue 36 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 4, 2026 ｜ 5 Selected Global Breaking News ## 01｜Microsoft Azure HorizonDB for PostgreSQL Launches Public Preview: Cloud Database Designed for AI Workloads On June 2, Microsoft officially announced the public preview of **Azure HorizonDB for PostgreSQL**, a cloud‑native PostgreSQL database built specifically for AI applications, deeply integrating native AI capabilities such as vector search, large model inference, and intelligent index optimisation. HorizonDB is built on the PostgreSQL kernel and is specially optimised for emerging workloads such as generative AI, retrieval‑augmented generation (RAG), and AI agents. Core capabilities include: – **Native Vector Search**: Kernel‑level support for vector indexing, eliminating the need for additional vector database extensions, with significantly better vector query performance than the community pgvector extension. – **AI Inference Integration**: Built‑in AI functions allow direct invocation of Azure OpenAI services within SQL for embedding generation and text inference. – **Intelligent Auto‑Tuning**: Workload‑aware optimisation based on machine learning, automatically adjusting index strategies and query execution plans. Microsoft stated that HorizonDB aims to solve the “data fragmentation” pain point in AI application development – developers no longer need to move data between multiple […]

# 📊 HiddenMerit Daily · Issue 35 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 2, 2026 ｜ 5 Selected Global Breaking News ## 01｜Tencent Cloud Database Fully Enters AI‑Native 3.0 Era: Taking Agents as New Users, Reshaping Database Capabilities On May 29, Tencent Cloud officially announced in Shanghai that its database product system has been fully upgraded for agent scenarios, delivering over ten technical innovations across three major use cases: agent applications, AI‑assisted programming, and intelligent operations. Wang Yicheng, Vice President of Tencent Cloud, stated that databases are moving toward the AI‑Native 3.0 era, “taking agents as new users to redesign database products and capability systems.” **Core technical innovations in this upgrade**: – **Agent Memory**: One of the industry’s first agent memory services to propose the concept of “team memory,” building a four‑layer memory architecture (L0 raw session records → L1 atomic information vector index → L2 scenario‑based markdown files → L3 personal characteristic沉淀). The dual‑track design of “human‑readable, agent‑usable” increases task success rates in long‑task scenarios by **30%** and saves up to **60% in token costs**. In the PersonaMem evaluation, OpenClaw’s long‑term memory score jumped from 48% to **76%** . The open‑source version gained over […]

# 📊 HiddenMerit Daily · Issue 34 > **Focus on Database Frontiers, Practical Insights for DBAs** > June 1, 2026 ｜ 5 Selected Global Breaking News ## 01｜Tencent Cloud Database Fully Upgraded to AI‑Native 3.0 Era: Taking Agents as New Users, Reshaping Database Capabilities On May 29, Tencent Cloud officially announced in Shanghai that its database product system has been fully upgraded for agent scenarios, focusing on three major use cases: agent applications, AI‑assisted programming, and intelligent operations. The upgrade delivers multiple AI‑native database capabilities, marking Tencent Cloud database’s official entry into the AI‑Native 3.0 era. Wang Yicheng, Vice President of Tencent Cloud, stated at the launch that over more than a decade of development, Tencent Cloud database has successively withstood the dual tests of the internet high‑concurrency wave and autonomous domestic replacement. Now, databases have entered a new AI‑Native 3.0 era. Tencent Cloud has established agents as the new service users, redesigning the database product architecture and capability system from the ground up. This upgrade brings more than ten technical innovations, including database branching, massive multi‑tenancy, multi‑modal hybrid search, and open storage architecture. Two new benchmark products for agent‑native scenarios were launched: **Agent Memory**: Builds three layers of capability: […]

# 📊 HiddenMerit Daily · Issue 33 > **Focus on Database Frontiers, Practical Insights for DBAs** > May 29, 2026 ｜ 5 Selected Global Breaking News ## 01｜Tencent Cloud “Database + AI” Product Launch Today: Debut of Six AI‑In‑Database Core Engines Today, May 29, 2026, the Tencent Cloud “Database + AI” product launch is taking place at the Hyatt Regency Shanghai, Wujiaochang. The launch will present, for the first time, Tencent Cloud’s strategic layout and comprehensive solutions under the dual‑track path of “DB for AI” and “AI in DB,” with the core theme of achieving deep internalisation and native integration of large models with the database kernel – **AI‑In‑Database**. The six core engines unveiled at the launch include: – **Agent “Memory Brain”**: Native memory capabilities for AI agents, supporting cross‑session persistent storage; – **Database Agent Tool Suite**: Standardising database operations knowledge into Agent Skills; – **Multi‑Modal Vector Hybrid Search**: Support for vector, full‑text, and scalar recall and ranking within a single SQL; – **Cloud‑Native Architecture 2.0**: Newly designed for the unpredictability of large model training, inference, and agent workloads; – **Exclusive Frost & Sullivan Trend Report Analysis**: Analysing the global database + AI market landscape and segmented scenarios; – **Industry‑Academia […]

# 📊 HiddenMerit Daily · Issue 32 > **Focus on Database Frontiers, Practical Insights for DBAs** > May 28, 2026 ｜ 5 Selected Global Breaking News ## 01｜DBA’s True Voice: “What We Fear in Core System Migration Isn’t the Technology – It’s the Collapse of Trust” Recently, CETC Kingware published a real‑life sharing article from a frontline DBA titled “Core System Database Migration: We Were Afraid of Business Interruption.” Using the migration of a fund TA system as the backdrop, the article details the complete process of migrating an Oracle RAC cluster (60TB+ data, tens of millions of users) to KingbaseES V9, expressing the common feelings of countless DBAs in the finance, telecom, and energy industries. The article reveals that although KingbaseES V9 withstood extreme stress tests of 20,000+ TPS, in the late hours before the production environment switchover, “staring at the migration tool, silently reciting those complex stored procedure conversion rules” – DBAs fear not the technical difficulties themselves, but the chain reaction of “what if response time slows by 10 milliseconds” on business, the settlement and clearing risk of “what if batch processing takes 5 hours instead of 3,” and the “irreparable collapse of trust after a business […]

# 📊 HiddenMerit Daily · Issue 31 > **Focus on Database Frontiers, Practical Insights for DBAs** > May 27, 2026 ｜ 5 Selected Global Breaking News ## 01｜OceanBase Passes CAICT Vector Database Full Test, Integrated AI Data Foundation Receives Another Authoritative Certification On May 26, the China Academy of Information and Communications Technology (CAICT) officially announced the first half of 2026 batch of “Trustworthy Database” test results. **OceanBase database software successfully completed all test items for vector database basic capabilities**, passing 47 test items (27 mandatory + 20 optional) across seven capability domains: basic functionality, operations management, security, compatibility, scalability, high availability, and tool ecosystem. The test was conducted according to the “Technical Requirements for Vector Databases” (T/CCSA 573-2024). This standard, jointly developed by CAICT under the Big Data and Blockchain Working Group of the China Communications Standards Association and the Big Data Technology Standard Promotion Committee, together with over 50 industry experts, is the industry’s first vector database technical standard and has become a benchmark for vector database technology development and product selection. OceanBase uses a single database to simultaneously handle three workloads: transactions, analytics, and AI inference, helping enterprises simplify complex data stacks into a unified intelligent data […]

# 📊 HiddenMerit Daily · Issue 30 > **Focus on Database Frontiers, Practical Insights for DBAs** > May 26, 2026 ｜ 5 Selected Global Breaking News ## 01｜Dameng DM9 Deepens Financial Xinchuang: Insurance Asset Valuation Batch Processing Efficiency Up 10x, Securities Core System Domestic Breakthrough During the 2026 Yinsheng Financial Technology Summit held from May 22 to 24, Dameng attended as a long-term deep strategic partner of Yinsheng. The two parties reached multiple strategic consensus on technology collaboration, scenario implementation, and joint solution development. Yan Heng, General Manager of Dameng’s Financial Division, delivered a speech titled “From Replacement to Leadership: Independent Database Technology Protects Financial Core Systems with Innovation,” focusing on the next-generation enterprise-level intelligent integrated database **DM9**. According to the latest CCID Consulting report, Dameng firmly ranks **first among domestic vendors** in China’s financial industry centralised database market, taking the top position across all three sub‑markets: banking, insurance, and securities. Key case data highlights include: – **Insurance sector**: In a large insurance asset valuation and accounting system project, leveraging Dameng for full‑stack independent optimisation, **automated valuation batch processing efficiency increased by 10x**, with processing time reduced from **2 hours to 15-20 minutes**, stably supporting massive business data and large‑value […]