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Nine Cloudy Challenges for Databases

  • Nine Cloudy Challenges for Databases-
    While scaling an application is pretty straightforward, scaling the database tier is more difficult - particularly when scaling out by adding nodes. Cloud applications are often characterized with fluctuating demand (that can spike at any moment). Your DB needs to be able to instantly and automatically scale both in throughput and size to accommodate any demand from the application.

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Nine Cloudy Challenges for Databases

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
  • Nine Cloudy Challenges for Databases-5
    While scaling an application is pretty straightforward, scaling the database tier is more difficult - particularly when scaling out by adding nodes. Cloud applications are often characterized with fluctuating demand (that can spike at any moment). Your DB needs to be able to instantly and automatically scale both in throughput and size to accommodate any demand from the application.

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.