Migrating from SQL to NoSQL Database Strategies

Migrating from a SQL database to a NoSQL database can be a difficult process, but there are a few tactics that might help make the shift go more smoothly. Here are some common migration strategies from SQL to NoSQL:

  • Analyze the present SQL structure and data model before beginning the migration to discover any potential difficulties that may develop during the migration. This analysis can assist in identifying any data associations that need to be changed, as well as any data that needs to be denormalized or separated across many tables.
  • Select the best NoSQL database: There are various types of NoSQL databases, each with its own set of advantages and disadvantages. Choosing the correct NoSQL database for the application’s specific needs is critical to ensuring that data is stored effectively and easily accessible.
  • Identify data access patterns: Unlike SQL databases, NoSQL databases are optimized for different sorts of data access patterns. Identifying data access patterns in the application is essential for choosing the correct NoSQL database and building an effective data model.
  • After selecting the NoSQL database and data model, plan the data migration. Data may be exported from the SQL database and imported into the NoSQL database.
  • Because NoSQL databases frequently have different data access patterns and query languages than SQL databases, it may be essential to adapt the application code to interact with the new database. Modifying data access code, query language, and data structures may be required.
  • After the migration is complete, it is critical to thoroughly evaluate the new system to confirm that it is functioning properly and giving the desired performance advantages. This can include evaluating data access times, query performance, and overall system dependability.
  • Overall, transitioning from SQL to NoSQL can be a complicated process, but by following these tactics and carefully planning the move, organizations can benefit from NoSQL databases’ scalability, performance, and flexibility.
  • Traditionally, in many software projects, we may have used RDBMS such as Oracle, SQL Server, MySQL, and others, as well as Structured Query Language (SQL) to handle transactions. Nowadays, NoSQL Database is widely utilized in many places, either as a standalone application or in conjunction with RDBMS and NoSQL software. Let’s look at several ways for moving from SQL to NoSQL databases.

Advantages of NoSQL Database

  1. Freedom from relational models involving strict relationships such as Foreign Key, relationships to other tables using Joins, Object-relational mapping, and so on. Instead, document-based NoSQL databases such as MongoDB, CouchDB, and so on, support encapsulation and can achieve the same nature as RDBMS facilities.
  2. Storing data as an array of integers, as a single entity, etc., greatly simplifies the process of reducing difficult joins to provide the output.
  3. In terms of optimisation, the RavenDB NoSQL database provides indexing, which makes it easier to retrieve data.
  4. Like RDBMS databases, NoSQL databases offer String keys but not int data types for unique identification. As a result, a few other String keys are also used, and they contribute to fewer requests and faster lookups. A typical example is that no two users can have the same email address. The login procedure is simplified by employing the String keys idea, which avoids several complex query operations.
  5. RavenDB has a support relationship with NoSQL databases. Even without employing relationships or sophisticated joins, a simple move to NoSQL is achievable.
  6. Alternative NoSQL options for supporting the useful aspects of RDBMS. In RavenDB, important ACID principles such as Atomic(A), Consistent(C), Isolated(I), and Durable(D) may be found.  Transactions and atomic writes work.
  7. Performance in NoSQL is achieved using several techniques such as denormalization. Instead of constructing complex primary key and foreign key associations and complex joins to get the data, the entire data set is stored in a single document. For example, a post in GFG groups, comments, likes, and shares into a single document or collection to make it easier to retrieve the data.
  8. Consistency is a critical property of RDBMS. It is possible to achieve this in NoSQL by using BASE (basically available, soft state, and eventually consistent). RavenDB is a NoSQL database that is supported. Writes and reads by ID are both ACID, but queries are BASE. It features WaitForIndexesAfterSaveChanges(), which causes RavenDB to stop subsequent transactions until a COMMIT is completed and all relevant modifications are updated. It also offers WaitForNonStaleResults methods to help with consistency. The same may be accomplished in MongoDB by blocking writes, but it also permits updating.

Important Considerations While Transitioning from SQL to NoSQL:

Some of the most critical considerations while transitioning from SQL to NoSQL are:

  1. Redesign the Schema: Only the data layer and schema must be altered to conform to a NoSQL-optimized architecture. There are no changes necessary in business logic. 
  2. Refactoring: Data logic and RDBMS schema must be refactored to create a NoSQL-optimized model.
  3. Host it first, with optimisation to follow as needed: Hosting must occur in the proposed technology, and the process must be optimised for improved performance if necessary.


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