NuoDB A Cloud Database

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NuoDB A Cloud Database
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• NuoDB
• A client or a cloud relational database
  technology also called as NuoDB is SQL compliant
  and it has been called NewSQL. In the cloud, it
  has a distributed object architecture that it can
  work with. The term emergent architecture is the
  term used by NuoDB for their database and it
  implies that a new server is included for scaling
  up the database and it runs faster. Amongst lots
  of processors, the NuoDB database distributes the
  tasks for avoiding bottlenecks of data. A peer to
  peer messaging is used and it is ACID compliant.

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• Uses of NuoDB
• Mobile Applications
• There are lots of times various mobile apps are
  downloaded. For scaling out various requirements
  of the cloud-based mobile app due to the web
  service provider's meter which runs at most of
  the time. Elastic scalability is provided by
  NuoDB at lots of transactions per second with
  less administration.
• 2.  Web-Scale Applications
• Developers must get to know better beforehand
  about their applications release. It is possible
  for another major app better than Facebook. All
  the elastic-scale out is given to them by NuodB
  and they might mostly require integrated safety
  and awareness of SQL/ACID.

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3. Multi-Tenant Solutions For hosting lots of
databases there is a requirement for Internet
Service Providers which is efficient while
keeping all the customer's database isolated from
each other. True multi-tenancy is offered by
NuoDB at cheap cost and has been deployed on lots
of servers. 4. Saas Solutions There are lots
of providers of SaaS and ISVs that are successful
and have sharded, tuned and replicated making
sure of high performance and zero downtime. There
is no need for sharding, replication or various
performance works in NuoDB. 
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• Disadvantage of SQL over NuoDB?
• SQL is regarded as a relation-based data model in
  the world of data and it mostly means for
  retrieving and changing the data. This is mostly
  used and has clauses, predicates, expressions,
  and queries in an SQL data management system for
  making it famous and user-friendly. This
  transactional data provides tough limitations
  like
• When Big Amount of Data is Used
• For multi-table data graph, mostly incorrect SQLs
  are developed
• Lots of your storage is occupied and therefore
  data repetition happens.

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