How NineData Boosts R&D Collaboration 5× with Multi‑Cloud Database Management

On October 18‑19, 2024, the 24th GOPS Global Operations Conference and R&D Intelligence Summit took place in Shanghai, co‑hosted by GreatOPS and the DevOps Era Community. NineData founder & CEO Ye Zhengsheng delivered a keynote titled "R&D Collaboration Efficiency Improves Over 5×: Best Practices for Multi‑Cloud Multi‑Source Database Management" .

Key Topics Covered

1. Multi‑Cloud Multi‑Source Architecture Trends

The industry is shifting from single‑master databases (e.g., Oracle, MySQL) to hybrid and multi‑cloud solutions that support diverse data types, workloads (OLTP, HTAP, OLAP) and AI use cases. Major companies such as ByteDance, Xiaomi, OpenAI, Netflix, and many others are adopting this model.

2. Database Classification and Ecosystem

Various database categories were introduced, including relational databases (Oracle, MySQL, PostgreSQL), distributed relational databases (TiDB), data warehouses (Snowflake), NoSQL stores (Redis, MongoDB), and numerous domestic Chinese databases (e.g., DM, OceanBase).

3. NineData Intelligent Data Management Platform

NineData follows two principles— AnyWhere (seamless multi‑cloud and on‑premise connectivity) and AnyData (real‑time support for all database types). The platform offers data replication, database DevOps, backup, data comparison, and supports over 60 data sources across clouds and IDC networks.

4. Data Replication Technology and Practices

Core replication architecture includes CDC, incremental writes, transport queues, full‑copy with mapping/filtering, structural replication, task configuration, logging, monitoring, and sub‑task coordination. Highlights are long‑distance real‑time transfer (>10,000 km), 100k RPS performance, cross‑cloud internal network transmission, and support for diverse scenarios such as disaster recovery, real‑time migration, data comparison, and ETL.

5. Database DevOps Challenges and Solutions

Challenges include security, stability, and efficiency gaps between developers and DBAs. NineData provides multi‑cloud, multi‑database support, cloud‑agnostic deployment, AI‑driven SQL IDE (auto‑completion, ChatDDA, Text2SQL), and AI‑enhanced features like smart SQL optimization, schema conversion, code generation, and audit.

6. Customer Success Cases

China Mobile Cloud : Built a >1,000 km active‑active cluster with hundreds of data links using NineData’s bidirectional replication.

Bank Database Localization : Migrated Oracle workloads to various open‑source and domestic databases, ensuring high‑quality synchronization.

Volvo : Unified access, permission management, and automated change release across hundreds of instances on Alibaba and Huawei clouds.

Greentown China : Resolved chaotic DB changes and permission issues for dozens of vendors and hundreds of developers.

MiniMax : Scaled from a single DBA managing hundreds of databases across four clouds to full company‑wide DB DevOps within one month.

The presentation demonstrated NineData’s leading technology in multi‑cloud, multi‑source data management, offering valuable insights for the industry.