Nesting documents in MongoDB. A powerful aspect of the document-oriented structure of MongoDB is that documents can be nested. For example, instead of creating another table to store the address ...

One example includes MongoDB customers running a thousand nodes with three petabytes of transactionally consistent data, a feat not achievable with legacy systems.

MongoDB has also announced new products and capabilities that enable development teams to better analyze, transform and move their data in Atlas while reducing reliance on batch processes and ETL ...

SA: Sure, from the very beginning, MongoDB was created to empower innovators to create, transform and disrupt industries by helping them unleash the power of software and data. And, as we like to ...

On the ESG front, MongoDB is at risk of compromising the data stored in its database through data breaches. For example, MongoDB offers a number of security features for protecting data, like ...

MongoDB's field-level encryption (FLE) offers the ability to store certain parts of the data in its document store encrypted. The community (free) version of MongoDB allows for explicit encryption ...

“By integrating MongoDB Atlas with Microsoft Azure’s powerful AI and data analytics tools, we empower our customers to build modern AI applications with unparalleled flexibility and efficiency ...

Context-aware vibe coding via MCP clients. Another advantage of MongoDB integrating MCP with its databases is to help developers code faster, Flast said, adding that the integration will help in ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.