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doc-exports/docs/dis/umn/dis_faq_0005.html
Xiong, Chen Xiao b33a41468c DIS UMN 20230915 version 
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: Xiong, Chen Xiao <chenxiaoxiong@huawei.com>
Co-committed-by: Xiong, Chen Xiao <chenxiaoxiong@huawei.com>
2023-09-15 13:31:23 +00:00

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What Advantages Does DIS Have?

  • Scalable: A DIS stream can seamlessly scale its data throughput from megabytes to terabytes per hour, and from thousands to millions of PUT records per second.
  • Easy to use: You can create a DIS stream within seconds. It is easy to put data into a stream, and build a data processing application.
  • Low cost: DIS has no upfront cost and you only pay for the resources you use.
  • Parallel processing: DIS allows you to have multiple DIS applications processing the same stream concurrently. For example, you can have one application running real-time analytics and another sending data to OBS from the same stream.
  • DIS preserves data for N*24 hours, reducing the probability of data loss in case of application failures, individual machine failures, or facility failures. The value of N is an integer from 1 to 7.
Parent topic: General Questions