A Gartner revenue‑based DBMS market share chart shows Oracle slipping from the top while cloud giants and fast‑growing newcomers like Snowflake, Databricks and CockroachDB gain ground, and DB‑Engines rankings reveal PostgreSQL’s rise and Oracle’s gradual decline despite still leading overall.
This roundup analyzes the latest AI industry developments—from Zhipu's AutoGLM agent that combines deep research with real‑world actions, to Meta's 16‑trillion‑parameter Llama 4 models, Cursor's rebranded Kimi engine, Anthropic's court injunction, and broader trends such as Gartner's cost forecasts and public trust challenges—highlighting the technical details, strategic motives, and market implications behind each headline.
Gartner’s 2026 report outlines ten AI‑centric strategic technology trends—ranging from AI‑native development platforms to geopolitical data migration—explaining why AI is now a core driver, how each trend interlocks, and what impact they will have on enterprises and individuals alike.
Tencent Cloud and Tencent Research Institute, together with Gartner, released a comprehensive report that outlines evaluation methods, challenges, and practical solutions for deploying enterprise AI agents, introducing an innovative "AI Agent Scenario Compass" to help companies assess maturity and plan implementation roadmaps.
The article examines how large‑model limitations in accuracy, explainability, and stability have stalled decision‑support use, prompting industry leaders to champion AI‑Ready data infrastructures, Data 4.0 concepts, and AI‑generated service code as the next wave of AI‑native big data platforms.
Gartner's 2025 China AI Top Ten Trends report outlines ten key directions—including open‑source GenAI models, self‑built strategies, agent AI, frugal solutions, engineering focus, collaborative defense, talent growth, ubiquitous adoption, inclusive ecosystems, and data‑driven AI—while providing forecasts through 2030.
Gartner’s latest analysis warns that the traditional data middle office is entering the Trough of Disillusionment and may disappear, while a new Data Infrastructure paradigm—cloud‑native, flexible, and AI‑enabled—emerges as the future engine for enterprise digital transformation.
The 21st GOPS Global Operations Conference in Shanghai featured a Tencent Security expert who explained how attack simulation (BAS) provides continuous security control testing, risk assessment for high‑value assets, and a structured workflow that enhances security maturity and investment decisions.
The article explains Gartner’s 2024 strategic tech trend of platform engineering, defines internal developer platforms, highlights its relevance in China’s digital transformation, and outlines a three‑level assessment framework for evaluating platform engineering capabilities.
Gartner’s 2024 top ten strategic technology trends highlight AI’s dominance, from democratized generative AI and AI‑augmented development to AI trust, risk management, intelligent applications, augmented workforces, continuous threat exposure, machine customers, sustainable tech, platform engineering, and industry cloud platforms, shaping enterprises through 2027.
The Gartner 2022 report analyzes China's hyper‑converged infrastructure (HCI) market, defining HCI, projecting rapid growth to $3 billion by 2025, categorizing vendors into large DCI, specialist, and crossover types, and detailing the product portfolios and competitive advantages of major players such as Huawei, H3C, Inspur, Lenovo, ArcherOS, SmartX, Zettakit, CMCC, EasyStack, QingCloud, Sangfor, Topsec and ZStack.
The article analyzes how the rapid evolution of front‑end technologies, Gartner's maturity curve, ThoughtWorks' radar, and the D2 conference’s topic‑selection process shape the 2023 language and framework landscape, highlighting emerging tools like Turbopack, Rust, and mature options such as Kotlin and Swift.
Amid economic turbulence, CIOs and IT leaders must shift from cost‑cutting to new operational excellence, and Gartner’s 2023 strategic technology trends—covering sustainability, the metaverse, superapps, adaptive AI, digital immune systems, applied observability, AI trust and risk management, industry cloud platforms, platform engineering, and wireless value realization—offer a roadmap to boost resilience, growth and revenue.
The article examines how China’s domestic database market is shifting from legacy commercial systems to cloud‑native solutions like Alibaba Cloud’s PolarDB, highlighting Gartner’s recognition, architectural innovations, open‑source initiatives, and the broader impact on the nation’s digital economy.
Gartner's 2021 Infrastructure & Operations survey of 96 global IT leaders identifies six critical trends—Just‑In‑Time Infrastructure, Digital Natives, Management Confluence, Data Proliferation, Business Acumen, and Career Lattices—that will shape I&O strategy over the next 12‑18 months.
Gartner’s 2022 strategic technology trends highlight the rise of generative AI, data fabric, distributed enterprises, cloud‑native platforms, autonomic systems, decision intelligence, composable applications, hyperautomation, privacy‑enhancing computation, cybersecurity mesh, AI engineering and total experience as key drivers for growth and resilience in modern enterprises.
The article analyzes Gartner's 2020 Hyper‑Converged Infrastructure (HCI) software Magic Quadrant, detailing the shift from hardware‑centric to software‑centric evaluation, the new vendor landscape, inclusion and exclusion criteria, and the implications for hybrid‑cloud deployments, especially in China.
According to Gartner, enterprises should view data middle platforms as strategic, collaborative hubs that balance data collection and connection, promote reusable analytics, integrate with digital platforms, and leverage data fabric, AI-driven tools, and graph analysis to become truly data‑driven while maintaining trust and privacy.
This article explains the three main performance‑monitoring approaches—log‑based, agent‑based, and network‑traffic analysis—detailing their data‑collection methods, comparing deployment time, data completeness, impact, risk and scalability, and illustrating their differences with a real‑world failure case.
Jez Humble argues that Gartner’s dual‑mode IT model oversimplifies modern enterprises, creates harmful trade‑offs between agility and stability, and ultimately hinders performance, while advocating a DevOps‑driven approach that simultaneously enhances speed, reliability, and business outcomes across both record‑keeping and engagement systems.
Gartner outlines ten strategic technology trends for 2020—including hyperautomation, multiexperience, democratization, human augmentation, transparency, empowered edge, distributed cloud, autonomous things, practical blockchain, and AI security—explaining their disruptive potential, how they interrelate, and what implications they hold for enterprises over the next five to ten years.
This roundup covers Gartner’s eight predicted cloud‑native infrastructure trends, a five‑year reflection on Kubernetes, recent upstream Kubernetes changes, and highlights two open‑source tools—ksniff for pod traffic capture and Flagger for service‑mesh‑based canary releases—providing developers with actionable insights into the evolving cloud‑native ecosystem.
The Gartner 2018 Technology Maturity Curve introduces biohacking as a new hot trend and outlines five emerging technology trends—including AI democratization, digital ecosystems, transparent immersive experiences, and ubiquitous infrastructure—while comparing them with the 2017 predictions and discussing their expected impact on businesses.
The article analyzes Gartner's 2018 Data Center Network Magic Quadrant, highlighting major shifts such as Cisco's lead, Juniper's entry, the rise of software‑defined networking vendors, Chinese players' positions, and Gartner's market and technology forecasts for the coming years.
Gartner’s 2018 strategic tech trends revolve around the Intelligent Digital Mesh, a framework that combines AI‑driven intelligence, immersive digital experiences, and mesh‑based connectivity to shape the future of enterprise IT, with ten detailed sub‑trends ranging from AI foundations to blockchain and adaptive risk management.
Despite Gartner's 2017 claim that Hadoop is nearing the end of its production maturity, a series of interviews with Chinese big‑data experts reveal that Hadoop's ecosystem remains robust, with core components like HDFS, YARN, Spark, and HBase continuing to dominate the market.
Based on Gartner research, this article explains what AIOps is, how digital transformation drives its emergence, the platform’s big‑data and machine‑learning components, the factors and elements shaping it, and practical considerations for implementing AI‑powered IT operations.
