There are many reasons why you might want to use an in-memory database when working on ASP.NET Core 6 web applications. Maybe you’re developing a new feature and you want to test it without ...

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native ...

Since in-memory databases utilise the server’s main memory as primary storage location, besides improvement in speed, the size and cost is significantly reduced. Traditional systems keep a lot of ...

He explains that in-memory data grids are powerful for accelerating existing systems built on disk-based databases, while in-memory databases are used mainly to build greenfield systems.

I wanted to understand why more organizations aren’t considering graph databases. Developers think in objects and use hierarchical data representations in XML and JSON regularly.

In a nutshell. In his post, Campbell says in-memory is about to hit a tipping point and, rather than leaving that assertion unsubstantiated, he provided a really helpful explanation as to why.

Bringing dedicated processor technology closer to memory and storage can result in significant improvements in the performance and scale of database applications. In the future what we can do with ...

Dokkat appears to think that databases are overused. "Instead of a database, I just serialize my data to JSON, saving and loading it to disk when necessary," he writes. "All the data management is ...

In-memory processing has long been used in analytic NoSQL database. But now transaction oriented NoSQL databases, like those from DataStax and MongoDB, are getting the in-memory treatment, which is ...

Last week, application-performance monitoring service provider New Relic launched an offering that allows customers to mine its operational data for business intelligence.