MongoDB and Redis, which were designed to manage more flexible data structures. This brings us to unstructured data, which has overwhelmingly become the most common type of data. As its name ...

Q1 2026 Earnings Call Transcript June 4, 2025 MongoDB, Inc. beats earnings expectations. Reported EPS is $1, expectations ...

A new report highlights the need for advanced database platforms to process and analyze ever-increasing volumes of data and ...

But with AI/ML processing, additional structured fields of data can be derived from a dataset. So, for example ... In MongoDB – a so-called NoSQL database – text files and other unstructured ...

The most unstructured data you can think of – image and sound files, for example – comes with metadata ... document stores like MongoDB and CouchDB, key value stores like Riak, as well as ...

"We are excited to join the MongoDB AI Applications Program to bring our expertise in ingesting and preprocessing complex unstructured data for vector databases. The gen AI-ready data we ...

For example, generative AI models are especially adept at making sense of diverse, unstructured datasets to create realistic content, enhance data for machine learning training, simulate and model ...

“For example ... databases such as Weaviate and MongoDB’s Atlas Vector Search. Previously, Unstructured’s sole product was an open source suite of these data processing tools.

Wrapping up Q2 earnings, we look at the numbers and key takeaways for the data storage stocks, including MongoDB (NASDAQ ... to high-scale processing of unstructured data such as images, audio ...