The Cost of Not Knowing MongoDB (Part 1)
The primary focus of this series is to show how much performance you can gain, and as a consequence, the cost you can save when using …

Artur Costa
3,134 viewsThe primary focus of this series is to show how much performance you can gain, and as a consequence, the cost you can save when using …
Arek Borucki
7,341 viewsHybrid search in MongoDB brings together two complementary search techniques: Full text search (BM25 via Atlas Search)—optimized for exact …

Justin Jenkins
5,243 viewsMongoDB makes it really easy to work with location data (sometimes called Geo Data) by simplifying how to store this type of data and …
Thibaut Gourdel
4,125 viewsWith 2025 hailed as "the year of agents" by NVIDIA CEO Jensen Huang and OpenAI CPO Kevin Weil, AI agents are increasingly of interest to …
Arek Borucki
3,155 viewsLast time, we created a vector search index in a local MongoDB Atlas cluster. Now, let’s put it to work with a real case: building an …

Otavio Santana
4,635 viewsData-driven testing (DDT) is important because it enables you to validate business behavior across various scenarios without having to …
Arek Borucki
3,559 viewsMongoDB Vector Search enables semantic queries. For example, finding support tickets with similar meanings even if they use different words. …

Arek Borucki
3,478 viewsAfter launching your local MongoDB Atlas cluster and running the show dbs command in mongosh, you’ll see only the default system databases: …

Tim Kelly
10,721 viewsRunning MongoDB in Kubernetes introduces challenges that don’t exist with stateless applications. By default, Kubernetes doesn’t understand …

Luke Thompson
5,864 viewsA lot of what I have said would also apply to other strongly typed languages too—but for most of the problems I am solving at the moment, …