SHENZHEN, China, Sept. 24, 2025 /PRNewswire/ -- The inaugural Tencent Cloud Hackathon Global Roadshow Day, held alongside the 2025 Tencent Global Digital Ecosystem Summit, concluded successfully in Shenzhen. Over 48 hours, 17 teams comprising 46 developers collaborated intensely to build 17 innovative "AI for Social Good" projects, showcasing how technology can drive meaningful social impact.

In partnership with Tencent Sustainable Social Value (SSV), the event centered on creating practical AI solutions for biodiversity preservation and mental health support. The competition featured three tracks: AI Coding, AI Agent, and an International Category, attracting teams from prestigious institutions including City University of Hong Kong, Peking University, and Tsinghua University, alongside international developers from Japan, Malaysia, and Thailand, competing for prizes in each category, with a top award of up to $10,000 USD.

Tencent Cloud's AI Developer Tools Enable Rapid Innovation

The 48-hour Tencent Cloud Hackathon was powered by cutting-edge tools including Tencent CodeBuddy, Tencent Cloud Agent Development Platform (TCADP) and Tencent Cloud EdgeOne.

CodeBuddy served as an "AI Full-Stack Engineer," offering conversational programming support across the entire development workflow. As the first AI coding tool to support plugin, IDE, and CLI formats, it significantly streamlined coding processes and improved efficiency.

TCADP provided a low-code/no-code toolchain that allowed rapid implementation of advanced AI capabilities such as Retrieval-Augmented Generation (RAG), multi-agent collaboration, and automated workflows. Its open Model Context Protocol (MCP) plugin library further empowered participants to build sophisticated AI agents quickly.

For web-based applications and games, Tencent Cloud EdgeOne delivered secure, high-performance global deployment using its integrated content delivery network (CDN), security protections, and edge computing functions – ensuring low latency and a smooth user experience worldwide.

Winning innovations and the goal to build the next generation of AI talent

The first prize for the International Category was awarded to EchoQuest team, a team from Hong Kong, for their Poke Planet game. This innovative game transforms environmental restoration activities into engaging gameplay, converting conservation achievements into educational content and public welfare benefits.

Another Hong Kong team, NightC0de, received third prize in the AI Coding Category for Eco Genesis– an immersive simulation game that raises ecological awareness through interactive species collection and ecosystem exploration.

Coinciding with the Summit, Tencent also launched the "University AI Engagement" initiative, which aims to empower the next generation of developers through hands-on AI competitions like the Tencent Cloud Hackathon. This effort is part of Tencent's broader commitment to fostering innovation, enhancing practical skills, and encouraging the application of AI for social good.

About Tencent Cloud

Tencent Cloud, one of the world's leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

Participants use Tencent Cloud EdgeOne to develop games; finalists to showdown for a 24-hour hackathon at Tencent's HQ in Shenzhen

SHENZHEN, China, July 29, 2025 /PRNewswire/ -- Tencent Cloud, the cloud business of global leading technology company Tencent, today announced the launch of its EdgeOne Global Game Hackathon – a competition designed to ignite creativity and technical innovation among developers. Under the theme "SplitSecond Spark", participants will embark on a serverless development challenge to develop lightweight web games using Tencent Cloud's EdgeOne platform.

Tencent Cloud is the engine behind some of the world's most popular and demanding online gaming experiences, such as Honor of Kings, Reverse 1999 and others, serving hundreds of millions of players across the globe in real-time. The hackathon draws upon this legacy, giving amateur developers and emerging talent the opportunity to build their own games using the same scalable infrastructure and powerful tools trusted by top game studios.

Unleashing Creativity Through a Unique Hackathon Experience

Open to participants globally, the EdgeOne Global Game Hackathon unfolds in two phases. The competition will undergo a first online preliminary round, followed by a second phase where finalists will be invited to Tencent's headquarters in Shenzhen, China, for an in-person final round featuring a live pitch session. Participants are encouraged to form a team of up to three people. This format allows developers to showcase their creativity and technical skills while engaging with a global community of like-minded creators.

More than just a contest, the hackathon serves as a launchpad for growth, recognition, and connection within the global game development community. With a prize pool of nearly US$20,000 for the best game, the EdgeOne Global Game Hackathon offers a unique platform to showcase creativity, sharpen technical skills, and accelerate careers in the ever-evolving world of gaming.

Focusing on Immersive Web Game Experiences

During the online round, participants will design original web-based games using Tencent Cloud EdgeOne, a one-stop edge security acceleration platform. With EdgeOne, developers can easily build imaginative, high-performance games in a browser-native environment, enjoying fast loading, global reach, and worry-free security and acceleration services.

The challenge focuses on creating lightweight web-based games that focuses on web game experiences, where players interact with the environment or NPCs. Submissions will be evaluated based on creative design, storytelling, technical implementation of EdgeOne, and overall gameplay engagement. Developers are encouraged to explore a wide range of genres such as casual puzzles, action-adventure, strategy, and narrative-driven games. By emphasizing web-gameplay, the hackathon invites participants to craft simple yet immersive experiences that resonate deeply with players around the world.

Innovating with Popular Game IPs

Finalists will be invited to Shenzhen in September to compete in the final round. They will be challenged with reimagining globally popular game IPs through technical reconstruction and artistic reinterpretation. In just 24 hours, they will develop a lightweight web game, such as a casual mini-game, side story interaction or puzzle, based on selected IPs, showcasing their ability to blend storytelling with innovative gameplay.

Key Dates

Register today for the Tencent Cloud EdgeOne Global Game Hackathon and let your imagination run wild!

For more information and to sign up, visit .

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About Tencent Cloud

Tencent Cloud, one of the world's leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

SHENZHEN, China, April 28, 2025 /PRNewswire/ -- In the era where LLM driven intelligence prevails, enterprise data platforms face emerging challenges from LLM application and AI development. To name a few, efficiency loss owing to segmented AI/Data development process, data governance for heterogeneous data, traditional architecture that struggles to meet the needs for real-time data and rapid AI integration. Tencent Cloud WeData addresses these complexities through flexible architecture and product innovation, presenting an integrated data intelligence platform for enterprises to navigate these challenges and prosper in the age of AI.

4 Unique Aspects of the Integrated Data+AI Solution

• Unified Storage Layer: A unified Lakehouse storage system with a centralized catalog service that supports structured/unstructured data and model assets, enablingcross-engine queries .
• Unified Compute Layer: A serverless resource pool to integrate frameworks like Spark, Flink, and PyTorch, improving CPU/GPU resource utilization by 30%.
• Integrated Streaming-Batch-Lakehouse Engine: The Setats engine dynamically switches between streaming, batch, and incremental compute modes, merging real-time states with lake storage to reduce storage costs by 50%.

• Unified Catalog: A centralized catalog to manage structured/unstructured data, enabling seamless access across compute engines (Spark, Flink) and AI frameworks (TensorFlow, PyTorch).
• Global Asset View: Integration of metadata for tables, volumes, models, and applications, supporting semantic search across all assets.
• Federated Permissions: One single authorization to grant data access across engines like Spark and Ti-One, reducing policy propagation time from hours to minutes.
• Intelligent Semantic Enhancement: Leverages LLMs to auto-generate data description, perform intelligent asset classification and maintenance, and improve documentation completeness by 80%.

Built on the OneOps philosophy, our solution combines DataOps and AIOps to deliver three key capabilities:

• Full-Lifecycle Standardization: Automates enterprise CI/CD pipelines for end-to-end management of data and models.
• End-to-End Observability: Automatically captures lineage from raw inputs to AI model outputs, enabling rapid root-cause analysis, change impact assessment, real-time monitoring, and audit logging.
• Governance-by-Design: Embeds standardized development practices, AI-oriented data modeling, and enterprise semantic layers to systematically accumulate digital assets.

Ensures security across the entire lifecycle—data preparation, model training, and LLM applications:

• Data Security: Global access control, intelligent data classification/categorization, sensitive data masking/encryption, and audit trails.
• Model Security: Detects and defends against adversarial sample attacks during training; embeds watermarks to prevent model theft; blocks discriminatory/harmful AI-generated content during inference via rule engines.
• Application Security: API protection (e.g., unauthorized access prevention) and content moderation (e.g., forgery detection, sensitive content filtering).

#Tencent Cloud Big Data #WeData

Core Challenges

1. Separated Resources: Big data and AI required isolated infrastructure investments with no resource sharing.
2. Data Movement Overheads: Data silos between Data and AI systems caused latency and additional costs.

DLC Solution

Tencent Cloud's one-stop intelligent platform WeData, powered by Data Lake Compute (DLC), delivers an integrated DataOps+MLOps platform solution enabling:

• Seamless Experience: Unified development for both data analytics and ML workflows
• Cost Efficiency: 70% cost reduction through shared compute resources for Data+AI workloads
• AI Innovation Acceleration: Rapid deployment of GenAI applications via unified data governance

Key Features

• Unified Engine: Supports data engineering and ML training (Scikit-Learn, PyTorch, TensorFlow)
• Meson Engine: Proprietary high-performance engine delivering 2x faster processing than open-source Spark
• Dynamic Resource Allocation: Flexible resource groups for data engineering, interactive analytics, and ML tasks

Business Value

DLC integrates data engineering, SQL analytics, and machine learning into a unified platform with industry-leading cost-effectiveness. The solution has already enabled a Southeast Asian retail leader to achieve 70% TCO reduction across data and ML infrastructure.

#Tencent Cloud Big Data #Data Lake Compute

Key Innovations:

1. Transaction Processing Optimization

• HDCC Protocol: Combines deterministic (Calvin) and non-deterministic (OCC) concurrency control, resolving cross-mechanism recovery issues. Delivers 5.7x performance gains (VLDB 2025).
• Lion Protocol: Uses LSTM-based workload prediction to optimize replica placement dynamically, avoiding migration bottlenecks. Achieves 2.7x higher throughput and 76.4% better scalability (ICDE 2024).

2. Storage Optimization

• HOCO Engine: Enables direct computation on compressed text data via homomorphic compression, offering 9.18x higher throughput for access/modification and 7.16x lower latency for analytics (SIGMOD 2024).
• SALI Framework: A scalable learned index that adapts to workload skew and boosts concurrency, delivering 2.04x higher insertion throughput under 64 threads (SIGMOD 2024).

Collaboration Impact: The research bridges academia and industry, with contributions from Renmin University's data engineering experts and Tencent's TDSQL R&D team. Attendees included leaders such as Du Xiaoyong (Renmin) and Wang Juhong (Tencent), highlighting the partnership's strategic importance in advancing database technologies for critical sectors like finance and governance.

This collaboration underscores China's growing leadership in high-performance database systems, combining cutting-edge AI/ML techniques with robust engineering to solve real-world scalability and efficiency challenges.

Core Capability Upgrades in PostgreSQL 17.0

Enhanced Logical Replication

• Supports logical replication slot failover, retaining slots during major version upgrades (via 'pg_upgrade') to improve data synchronization reliability.

Performance Optimizations

• Optimized batch I/O page read/write for higher efficiency.
• Improved WAL (Write-Ahead Logging) write performance under high concurrency.
• VACUUM adopts a new memory management mechanism, enhancing performance while reducing memory consumption.

Operational Enhancements

• 'pg_basebackup' now supports incremental backups, reducing storage and time costs.
• Added 'transaction_timeout' parameter to enable transaction timeout termination, preventing long-running transaction blocks.

Tencent Cloud Self-Developed Features & Scenario-Specific Solutions

Fine-Grained Multi-Tenant Resource Management

• Resource Isolation: Precisely controls CPU resources at the `database` level, supporting dynamic configuration adjustments (add/delete/upgrade/downgrade).
• Process-Level Monitoring: Real-time monitoring of tenant processes' CPU/memory usage via the 'tencentdb_process_system_usage' view, aiding health assessment.
• SQL Throttling: Limits real-time SQL concurrency based on SQL statements or 'queryid' to prevent resource abuse.

Cold/Hot Data Separation Solutions

• Option 1: Leverage the self-developed 'cos_fdw' plugin to transparently access cold data (e.g., archived data) stored in COS, achieving storage tiering.
• Option 2: Integrate the 'starocks_fdw' plugin to connect with the StarRocks analytics engine, enabling cold data storage on-premises or in object storage while unifying TP+AP capabilities.

Enterprise-Grade Security Auditing

• Express Edition: Meets basic auditing needs with high performance.
• Advanced Edition: Enhances the 'pgaudit' plugin, expanding audit coverage to function execution, object types/names, etc., with performance surpassing native PG full-log auditing.

Business Value

• Balanced Performance & Cost: Cold/hot separation reduces storage costs while supporting hybrid HTAP workloads on a single node.
• Maximized Resource Efficiency: Precise resource control in multi-tenant scenarios ensures high utilization and stability.
• Strengthened Compliance: Flexible auditing modes adapt to varying security requirements, with significant performance advantages in stress tests.

Core Technological Innovations

1.  Multi-Version Schema Mechanism

a. Introduces schema versioning to enable metadata-only modifications in seconds (e.g., adding trailing columns, extending fields). Historical data automatically fills default values, ensuring backward compatibility.

2.  Concurrency Control & State Transition

a.  Thomas Write Rule: Reduces transaction conflicts by ignoring stale writes, improving DDL-DML parallelism.
b.  Google F1 Phased State Design: Divides DDL into three stages (delete-only → write-only → final)  to ensure global consistency and smooth transitions.

3. Write Fence Mechanism

a. Validates request versions at the storage layer, allowing writes only between adjacent states to eliminate data inconsistency risks.

4.  Fast OnlineDDL Acceleration

a.  Distributed Parallel Backfilling: Splits data into SST files for multi-node parallel ingestion via bulk load, bypassing timestamp comparisons to achieve 13x performance gains (10 minutes vs. 2.3 hours).

Practices & Optimizations

1. Performance Comparison

a. Traditional Mode (single-node): 16 threads took 2.3 hours.
b.  Fast Mode (multi-node): 48 threads completed in 10 minutes, showcasing significant efficiency improvements.

2. Partitioning Best Practices

a. Large Tables: Use HASH/KEY partitioning to distribute data evenly, enabling parallel DDL execution.
b. Cold/Hot Separation: Combine RANGE+HASH secondary partitioning for rapid cleanup and elastic scaling.
c. High Concurrency: Align partition keys with frequent query fields; set partition count as multiples of node numbers.

3.  Key Parameter Configuration

a. max_parallel_ddl_degree: Increase parallel threads (≤ total node CPUs).
b. tdsql_ddl_fillback_mode:  Enable IngestBehind mode to unlock multi-node parallel acceleration.

Business Value & Future Roadmap

• Validated Use Cases: Achieved zero downtime in PB-scale financial systems, with 10x faster execution than third-party tools.
• Upcoming Enhancements:
  • Optimize partitioned table Copy Table and index backfilling for ordinary tables.
  • Support ultra-large-scale (tens of TB) workloads and hybrid HTAP architectures.

Conclusion

TDStore overcomes traditional OnlineDDL limitations through distributed architecture innovations and engineering practices, delivering high-performance, secure, and seamless schema change capabilities for financial-grade scenarios. It empowers enterprises to tackle massive data challenges effectively.

#DistributedDatabase #TencentCloud #TencentDB #TDSQL #Tencent Cloud BigData

Key Features of MongoDB
MongoDB, a leading NoSQL database, is renowned for its flexible data schema, high performance, and native distributed scalability. It dominates the NoSQL category in the DB-Engines global rankings and is widely adopted across industries such as gaming, social media, e-commerce, finance, and IoT.

Evolution of the Partnership
Since their initial five-year collaboration in 2021, TencentDB and MongoDB have jointly expanded in the Chinese market. Leveraging Tencent's vast user scenarios and technical innovation, Tencent Cloud enhanced MongoDB with enterprise-grade capabilities, including:

• Backup and Restore: Intelligent O&M and key-based flashback for rapid recovery.
• Elastic Scaling: Dynamic resource allocation to handle fluctuating workloads.
• Cross-Region Disaster Recovery: Ensuring business continuity for global operations.

These enhancements have supported high-profile clients like Kuro Games' Tides of Thunder (32 million pre-registered players), Xiaohongshu (小紅書), and NIO (蔚來), optimizing stability, scalability, and cost efficiency.

AI-Driven Innovations
The renewed partnership prioritizes AI integration, equipping Tencent Cloud with features such as full-text search and vector search to address modern application demands. These tools enable clients to build intelligent, future-proof digital solutions.

Global Expansion
Beyond China, the collaboration will target the Asia-Pacific region and support domestic enterprises in overseas expansion. TencentDB for MongoDB offers:

• Industry-leading backup/restore capabilities.
• Robust security compliance frameworks.
• Cross-region data synchronization for seamless global operations.

Technical Synergy and Community Impact
Over the past four years, Tencent Cloud contributed multiple optimizations to the MongoDB open-source community, improving user experience. Both parties emphasized their commitment to fostering a superior MongoDB ecosystem.

Li Qiang, Vice President of Tencent Group, stated:
"Our partnership has delivered world-class MongoDB services while contributing to the community. We aim to further elevate the ecosystem and provide industry-leading database solutions."

Simon Eid, MongoDB's APAC SVP, added:
"Combining Tencent's cloud expertise with MongoDB's robust technology accelerates innovation, particularly for gaming, automotive, and internet sectors. As AI adoption grows, our joint expertise becomes indispensable."

#TencentDB #TDSQL #Tencent Cloud Big Data

"As the first state-owned major bank in China to fully transition to a distributed architecture, Bank X previously deployed Tencent Cloud's TDSQL database to power its full-scale core systems—including customer information, credit cards, and personal liabilities. In 2024, it conducted year-end financial closings on this distributed core system for the first time, facing exponentially higher workloads, complexity, and technical challenges than ever before. Throughout the process, Tencent Cloud ensured the bank's distributed core aced this critical year-end stress test."

"Beyond the aforementioned state-owned major bank, over 60 banks leveraged Tencent Cloud's distributed database, private cloud, and big data platform technologies to efficiently complete year-end financial closings—executing nearly 1,000 pre-closing and year-end batch tasks per client with 100% timeliness.

In recent years, Tencent Cloud has supported nearly  40 financial institutions, including Bank of China, Agricultural Bank of China, Ping An Bank, and Zhangjiagang Rural Commercial Bank, in transitioning their core systems to distributed architectures, solidifying the role of domestic technology in ensuring secure and stable operations for the financial sector."

Thank you for your support, we will continue the good work in 2025.

Key Limitations of HBase

1. Operational Complexity: HBase's reliance on multiple components (e.g., Hadoop ecosystem tools) complicates deployment and maintenance. Declining community support further exacerbates these challenges.
2. Lack of Secondary Indexes: Queries require sequential access to index and primary tables, increasing latency (e.g., 150 ms average query time).
3. Transactional Constraints: HBase only guarantees single-row atomicity, complicating consistency between primary and index tables.
4. High Disaster Recovery Costs: Dual-cluster setups (5–6 replicas) for cross-AZ redundancy inflate storage costs.
5. Compression Limitations: Default Snappy compression offers suboptimal efficiency, while upgrading to ZSTD risks instability.

Advantages of TDSQL TDStore Engine

1. Cost Efficiency
   a.   Storage Optimization: TDStore's LZ4+ZSTD compression achieves a 47% reduction in single-replica storage size compared to HBase's Snappy. Combined with reduced replica requirements (one TDStore cluster replaces dual HBase clusters), overall costs drop significantly.
   b.   Native Compression: Transparent data compression minimizes storage footprints without compromising query performance.
2. Performance Improvements
   a.   Latency Reduction: By eliminating redundant query steps (e.g., secondary index lookups), TDStore cuts average query latency from 150 ms to 37 ms.
   b.   High Throughput: A multi-master architecture supports horizontal scaling, handling millions of QPS for real-time transactions.
3. Enhanced Data Governance
   a.   Structured Schema: Unlike HBase's schema-less KV design, TDStore enforces predefined columns and data types, preventing invalid data ingestion and reducing post-validation efforts.
   b.   Unified SQL Access: Native MySQL compatibility simplifies integration with existing systems, avoiding middleware like Phoenix.
4. Operational Simplicity
   a.   Cloud-Native Elasticity: Containerized management enables seamless scaling and upgrades without downtime.
   b.   Online DDL Support: Schema changes (e.g., adding columns or indexes) execute natively without external tools, ensuring uninterrupted operations.

Case Study: Tencent Financial Services

In a payment records system, migrating from HBase to TDStore reduced storage costs by 47% and query latency by 75%. The elimination of dual-cluster redundancy and streamlined SQL access further enhanced operational efficiency.

Conclusion

TencentDB TDSQL TDStore Engine demonstrates clear superiority over HBase in historical data scenarios, balancing cost, performance, and manageability. Its cloud-native design, MySQL compatibility, and advanced compression align with modern requirements for scalable, low-latency data management. As Tencent continues refining TDStore, it aims to solidify its role in enterprise-grade data solutions.

#TencentDB #TDSQL #Tencent Cloud Big Data