Database vs. Application Virtually all of the paraphernalia of the modern SQL-Server style data model evolved in response to the many-single-users nature of the Microsoft client-server world.

The AI systems solving real problems aren't the ones with the most parameters but the ones with the best scaffolding.

Since the parameters for how information in a database should be organized and arranged are already defined, teams can easily meet various application requirements in a single database – without ...

Recently, discussions surrounding the practical implementation of AI projects have sparked widespread attention. This article focuses on the real-world challenges of AI applications in enterprises and ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges.

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

Provide ACID transactions and consistency Enable declarative data programming in applications Any database system needs to have a point of view about the data model it supports.

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.