SQL databases are not much good fit for hierarchical data storage. NoSQL database are comparatively better for the
hierarchical data storage as it follows the key-value pair way of storing data content which is similar to JSON data.
NoSQL database are mostly preferred for large data set (i.e. for big data). Hbase is one of the examples for this.
NoSQL databases tend to be less complex and considerably simpler to deploy than SQL. It is easy to change how data is
stored or the queries you‟re running in NoSQL databases. Massive changes to data can be accomplished with simple
refactoring and batch processing rather than complex migration scripts and outages. It‟s even easier to take nodes in a
cluster offline for changes and add them back into a cluster as replication features will take care of syncing up data and
propagating the new data design out to the other servers in a cluster.
Several years ago many SQL systems added XML document support. Now, as JSON becomes a popular data interchange
format, SQL vendors are adding JSON-type support as well. There are good arguments for structured data type support
given today‟s agile programming processes and the uptime requirements of web-exposed infrastructure. Oracle 12c,
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