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Nine Cloudy Challenges for Databases

  • Nine Cloudy Challenges for Databases-
    For high-availability setups, scalability requirements, multiple regions or other considerations, many applications rely on distributed databases architectures. Because of the ‘stateful’ nature of the database (unlike the application, which is ‘stateless’), maintaining multiple active/master copies in several locations or even clouds requires building logic to handle conflicts, network problems, latency, etc. to ensure data consistency and availability.

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Nine Cloudy Challenges for Databases

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
  • Nine Cloudy Challenges for Databases-9
    For high-availability setups, scalability requirements, multiple regions or other considerations, many applications rely on distributed databases architectures. Because of the ‘stateful’ nature of the database (unlike the application, which is ‘stateless’), maintaining multiple active/master copies in several locations or even clouds requires building logic to handle conflicts, network problems, latency, etc. to ensure data consistency and availability.

The cloud has turned traditional data management on its head and there’s no doubt we've seen a renaissance of the database – particularly good-old SQL databases - because of it. When it comes to the cloud, people think they will be able to command endless resources while still being able to deploy, run and consume a distributed data solution anywhere, anytime. In this slideshow, Razi Sharir, CEO of Xeround, dives into the challenges that come along once your database is in the cloud.