The Cloud and Database Benchmarking Blog

Database-as-a-Service (DBaaS) has the potential to reduce required manpower, lower time-to-delivery, and has the potential to reduce the total cost of ownership (TCO) of database services. As with most other cloud services, the DBaaS market worldwide is dominated by the American companies, in particular the hyperscalers AWS, Microsoft Azure, and Google Cloud Platform (GCP). Unfortunately, relying solely on U.S. companies is not without risk for European customers, for instanc

In the fall of 2023, Microsoft Azure launched a new generation of virtual machines with the latest hardware. Our colleagues at Cloud-Mercato have already carried out CPU performance measurements and identified significant performance benefits. Do databases also benefit from these new VMs? And is it worth switching? We have measured it!

Ideally, an IT application grows its user base over time and in consequence the underlying data infrastructure needs to scale to handle the increasing workload demands. We show a data-driven approach to efficient capacity planning for a self-hosted MongoDB-based IT application that takes both costs and performance into account. This approach leads to an efficient data infrastructure - both from a technical and a business perspective.

"One accurate measurement is worth a thousand expert opinions." - Grace Hopper This statement from one of the IT pioneers is still relevant today with the vastly growing amount of technologies to build data intensive and performance critical applications. This article will explain what we learned and show you a how-to about performance benchmarks of one of the most popular NoSQL databases - MongoDB.

MongoDB is one of the most popular database management system and widely adapted. We compare MongoDB in an in-depth technical analysis with ScyllaDB, a rising star in the NoSQL database world.

MongoDB and Apache Cassandra are two of the most important NoSQL database management systems. For which use case is which DB suitable? If you search for the differences, you will find many articles with theoretical statements about performance and scalability. For us, this information was not enough. We have measured!