Difference between RDBMS and NoSql

Stands for Relational Database Management System
It is completely a structured way of storing data.
The amount of data stored in RDBMS depends on physical memory of the system or in other words it is vertically scalable.
In RDBMS schema represents logical view in which data is organized and tells how the relation are associates.
It is a mixture of open and closed development models. like oracle, apache and so on.
RDBMS databases are table based databases This means that SQL databases represent data in form of tables which consists of n number of rows of data
RDBMS have predefined schemas.
For defining and manipulating the data RDBMS use structured query language i.e. SQL which is very powerful.
RDBMS database examples: MySql, Oracle, Sqlite, Postgres and MS-SQL.
RDBMS database is well suited for the complex queries as compared to NoSql.
If we talk about the type of data then RDBMS are not best fir for hierarchical data storage
Scalability: RDBMS database is vertically scalable so to manage the increasing load by increase in CPU, RAM, SSD on a single server.
RDBMS is best suited for high transactional based application and its more stable and promise for the atomicity and integrity of the data.
RDBMS support large scale deployment and get support from there vendors.
Properties: ACID properties(Atomicity, Consistency, Isolation, Durability).

Stands for Not Only SQL
It is completely a unstructured way of storing data.
While in Nosql there is no limit you can scale it horizontally.
Work on only open source development models.
NoSQL databases are document based, key-value pairs, graph databases or wide-column stores.whereas NoSQL databases are the collection of key-value pair, documents, graph databases or wide-column stores which do not have standard schema definitions which it needs to adhered to.
NoSql have dynamic schema with the unstructured data.
It uses UnQL i.e. unstructured query language and focused on collection of documents and vary from database to database.
NoSQL database examples: MongoDB, BigTable, Redis, RavenDb, Cassandra, Hbase, Neo4j and CouchDb
NoSql is note well suited for complex queries on high level it dose not have standard interfaces to perform that queries.
NoSql is best bit for hierarchical data storage because it follows the key-value pair way of data similar to JSON. Hbase is the example for the same.
Scalability: as we know Nosql database is horizontally scalable so to handle the large traffic you can add few servers to support that.
NoSql is still rely on community support and for large scale NoSql deployment only limited experts are available.
Properties: Follow Brewers CAP theorem(Consistency, Availability and Partition tolerance).

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