Complementing the M8a and C8a launches, R8a memory-optimized instances target high-performance, memory-intensive workloads.
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TDengine的核心优势始于其独创的“一设备一表”(ODOT)数据模型。该模型通过为每个数据采集点创建独立子表,并利用超级表统一管理具有相同结构的子表,实现了数据管理的极致简化。例如,在工业场景中,同一生产线的所有温度传感器可共享一个超级表,而每个传感器的数据则存储在独立的子表中。这种设计既保证了查询效率,又降低了数据冗余,使海量设备的管理变得轻而易举。
分布式架构 :面对物联网和工业互联网不断增长的数据规模,TDengine能够轻松实现横向扩展。无共享架构确保每个节点独立存储和处理数据,避免了单点瓶颈;系统会自动进行负载均衡,确保数据均匀分布;通过数据副本机制,确保系统的高可用性和可靠性。
Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.
M8a实例在通用计算能力方面实现了重大飞跃。该实例搭载的AMD EPYC处理器运行频率高达4.5 ...
In today’s digital age, data analytics has emerged as a pivotal force shaping the landscape of industries worldwide. As ...
Join a purpose-driven team where your data engineering expertise directly accelerates Eneco's mission to become the first CO₂-neutral energy company by 2035. Work with cutting-edge cloud technologies ...
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