Relational DBMS

Optimize your data access based on its connections to other data.
Structured Query Language (SQL) is used to add, update, or delete rows of data, acquire subsets of data for transaction processing and analytics applications, and govern the whole database.
Ensure that all database transactions are ACID compliant - Atomic, Consistent, Isolated, and Durable - to ensure that data stays accurate, consistent, and complete.

NoSQL

Non-relational data, such as large amounts of information, should be optimized.
With horizontal scalability to machine clusters and fine-grained availability control, you may simplify architecture while avoiding object-relational impedance mismatch.
To accelerate various operations, NoSQL databases use data structures such as key-value pairs, wide columns, graphs, time series, and documents.
Increase schema design freedom while allowing for faster application development.

Database-as-a-Service automates and provisions production-ready workloads in minutes.

● Enjoy real-time access to production-ready instances of the most modern database technologies, as well as elastic resources that allow you to alter capacity and performance based on your needs.● Enjoy peace of mind with a secure database platform that is monitored and maintained around the clock by our database pros.