Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

Although relational database schemas can be molded, eventually the schema is set and inflexible to change. On the other hand, NoSQL document databases are schema-agnostic.

Multivalue databases handle certain data structures that are just a little too complex for conventional relational databases. This post is one of a series that introduces the fundamentals of NOSQL ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Fauna, the distributed document-relational database delivered as a cloud API, today announced a new declarative schema and a suite of DevOps tooling and ...

With NoSQL, data can be stored in a schema-less or free-form fashion. Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data, which lead ...

Changing the database schema will, by definition, also change the business logic. One consequence of this refusal to model a relational database’s real structure is an extra layer of abstraction.

Schema agnostic is exactly the opposite. You do not define the data structure upfront. A schema agnostic database system can take data, and no matter what the schema is, as long as it's well formed ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and ...

In this paper, the authors are going to discuss about the importance of query in database, how helpful was it for retrieving data from database, and it is so complex while in relational database.