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Look beyond NoSQL Support with DhiWise: Your App’s Backend deserves so much more



October 11, 2021


October 11, 2021

If you have already been creating apps on our Node.JS framework, you must have experienced ultra-fast query processing, all thanks to the MongoDB database integration. While there is nothing wrong with this NoSQL database support, you might want to go beyond the existing realm of JSON-specific querying.

Was SQL Database Support a delayed decision?

The decision was always in the pipeline. However, our initial tilt was towards MongoDB, as we wanted businesses and developers to experience speed, more than anything else. We believed that a ProCode platform as inventive as DhiWise was better off proffering support for a database that could handle multiple data variants and types.

But now, it seems appropriate to move beyond the schema-less MongoDB by including SQL databases into the mix.

Why Developers would welcome this shift?

Let’s be honest, speed isn’t everything when it comes to databases. While MongoDB does offer seamlessness with its support for CRUD operations and eventual scalability, data storage with this NoSQL database can make the app heavier than usual.

Plus, any developer who wants to create an app that can concurrently handle more than one collection, as per the user request, would want SQL databases by his or her side.

Sleuthing with DhiWise: Here is how our SQL Catalog looks like?

SQL databases are relational. Period! This means, if your application needs data pulled from other collections, pertaining to a single query, SQL might be the database choice to consider. Therefore, if you plan on developing an OLTP application that concerns inventory, order processing, reservations, and more, SQL seems like a good option.

DhiWise, as a part of its new launch, ensures that you get to benefit from the ACID property of the SQL databases that focus on Atomicity, Consistency, Isolation, and Durability. Therefore, you can expect the app to showcase the following traits:

  • No inconsistent values when the code is run
  • Sequential initiation of concurrent processes
  • Guaranteed data validity
  • No need for multiple queries
  • Database recovery in case of hardware failure

Not just SQL, but More!

While other app development platforms simply go about deliberating differences between SQL and NoSQL databases, DhiWise does one better by letting you choose the relational database that makes the most sense to your app development.

Choice 1: MySQL

Here is the thing; MySQL is the database solution of choice for Twitter, Amazon, Netflix, and every other online giant.

Benefits for Developers

  • Support for rollback to any previous version, in case of an error
  • More concrete support for database defragmentation
  • Support for index creation
  • Backup-specific defragmentation
  • Better table maintenance
  • Scalable buffer pool to predefine the size of cache as per the app’s functionality
  • Maximized isolation as data types can be stored in segments
  • Support for temporary tables to quickly access intermediary data
  • Uses clusters and tables for indexing
  • Automating index updates are supported
  • Multi-column indexing support
  • Memory-stored tables
  • Database partitioning

, and more

Choice 2: PostgreSQL

Excellent functionality, support for multiple data types, and one of the more advanced databases that are open-source.

Benefits for Developers

  • Column-row additions and unique IDs for better data readability
  • Auto deletion of unnecessary database elements to free up disk space
  • Better process isolation for improved monitoring and management
  • Local-global table support
  • Temporary tables can be configured with flexible variables
  • Support for 32 columns for improved indexing
  • Supports JSON files, indexing, and basic updates
  • Manual portioning

, and more

Choice 3: SQL Server

More of a commercial solution for apps with massive traffic-specific workloads! Perfect for designing and developing Windows-based services!

Benefits for Developers

  • Integration systems
  • Access to analytics
  • Collaborative support
  • Reporting services
  • Separate engines for row updates
  • Better response to errors
  • Garbage collector
  • Less CPU usage
  • Single buffer pool for segregating cache size
  • Support for temporary tables
  • Rich index management functionality
  • Support for handling tables that are memory-optimized
  • Full JSON support for seamless imports
  • Range partitioning

How DhiWise Plans on Simplifying SQL Database Selection?

As an experienced developer, you would know how these three SQL database solutions come with separate, unique, yet potent functionalities. For instance, if your app requires scalability across different versions and high performance but at the expense of concurrency, MySQL is a pretty standard choice.
As an object-relational SQL database, PostgreSQL is good for concurrency and speeds. Finally, if your application has intricate business logic to take care of, prefers minimal CPU consumption, and needs greater security safeguards, SQL Server is the one to consider.

However, we would suggest you to not get overwhelmed by this functionality as we shall be covering every database type, its real-time usage, integration, and every aspect of functionality at length. At DhiWise, our aim, going ahead, would be to help you create apps with diverse functionalities and regardless of the complexity of the business logic you choose to implement.

Intrigued enough to experience our web-based, modern ProCode Platform in person, with myriad, contextual databases to work with?

Reach us out asap….