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Strategies for Migrating from SQL to NoSQL Database

Historically, we may have utilized RDBMS like Oracle, MySQL, etc., in many software projects, and we may have used Structured Query Language (SQL) to support the transactions. Nowadays, NoSQL databases are extensively utilized in many settings, either independently or in combination with RDBMS.

Advantages of NoSQL:

  • To simplify the process of bringing the result, data can be stored as a singular entity, an array of numbers, etc.
  • The NoSQL database, like the RDBMS database, accepts string keys but does not support the int datatype providing unique identification. This led to the introduction of a few additional string keys, which helped to speed up lookups and reduce the number of searches. No two people can have an identical email address is a well-known example. The login procedure is made simple, and many complicated query methods are avoided by employing the concept of String keys.
  • Freedom from the restrictive relationships that come with the relational model, such as Foreign Keys, relationships to certain other tables that use Joins, Object-Relational Mapping, etc. Instead,NoSQL databases like MongoDB, CouchDB, etc., access encapsulation and can obtain the same functionality as RDBMS.
  • In terms of optimization, the RavenDB kind( NoSQL database) includes an indexing feature, which makes it easier to get data quickly.
  • Relationships supporting NoSQL databases like RavenDB Even without the use of relationships and intricate joins, a smooth move to NoSQL is still feasible.

Important factors considered when Migrating from SQL to NoSQL:

  • Redesigning the schema:

A NoSQL-optimized model requires only changes to the data layer and structure. Business logic doesn't need to be changed.

  • Refactorization:

It is necessary to refactor data logic and RDBMS schema into a NoSQL-optimized model.

  • Host first and optimize according to the need:

In the suggested technology, hosting must take place, and if necessary, the process must be enhanced for improved performance.

There are some few terminologies defined below which are present in NoSQL and equivalent to RDBMS:

Couch Database server and SQL server:

Couchdatabase Server SQL Server Similarities and NoSQL concepts
Cluster Server More scalability and high availability is the feature provided by the cluster.
Bucket Database The bucket offers a built-in cache for performance optimization.
Scope Schema In SQL Server, the schema name is "dbo," but not necessarily.
Collection Table Collections offer more freedom. More flexibility is evident in NoSQL as there is no requirement to strongly describe the column description and restrictions.
Document Row Data is offered in the JSON format.
N1QL TSQL Constraints and table mapping are examples of tight rules that do not apply. However, it can still deliver a comparable level of functionality utilizing N1QL, often known as SQL++.
Document Key Primary Key Document keys, like primary keys, are specific to a collection.
Index Index JSON fields are used to generate indexes.

Datatype difference between SQL server and Couchdatabase:

SQL Server JSON Datatype Narration
Varchar, char, etc. String We can use a string in JSON whenever it is necessary to specify both alphanumeric data and special characters.
Integer, decimal, float, etc. number Integers and decimals have no particular differences. However, JSON only supports them as numeric patterns.
bit boolean Used to represent true or false.
Date, time, DateTime String Lone date or time values are supplied in a text pattern.

The aforementioned terms must be taken into consideration when switching from SQL Server to Couch Databases or any other NoSQL databases. Refactoring must be done as a result, and schema rethinking may be necessary.

Any NoSQL database's primary strong point is its data representation in the JSON language. It is ideal for mobile and web applications since it is very portable across the cloud. Today, JSON is the sole format available for responses from all REST services. Simple collections and documents make it simple to capture and save them in a NoSQL database. If they have been stored in an RDBMS, employing the terms mentioned above reduces the cost of revamping the system and speeds up data retrieval.

The data representation in JSON is the main strength of any NoSQL database. Due to its excellent cloud portability, it is perfect for web and mobile apps. The only format that is currently supported for all responses from REST services is JSON. It is straightforward to capture and preserve simple collections of documents in a NoSQL database. Using the words indicated above minimizes the cost of system redesign and accelerates data retrieval if they are stored in an RDBMS.

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