At its MongoDB.local London event, MongoDB 8.0 went to GA along with other enhancements to the company's Atlas platform. MongoDB 8.0 is available on AWS, Google Cloud and Microsoft Azure through MongoDB Atlas, MongoDB Enterprise Advanced for on-premises users and MongoDB Community Addition.
We caught up with Adam Williams, Vice President of Global Platforms at Iron Mountain, to talk about use of MongoDB and scaling. Here's a look at some of the key takeaways.
MongoDB rebounded in the second quarter with better-than-expected results due to stronger Atlas consumption levels.
MongoDB cut its second quarter and fiscal 2025 outlook as the company said it saw slower than expected demand for Atlas consumption and new workloads.
MongoDB launched new Atlas features and integrations with Microsoft Azure, Google Cloud and Amazon Web Services as well as an expanded partner program. The effort, announced at MongoDB.local NYC, is designed to make it easier for developers to scale MongoDB applications across clouds and edge infrastructure.
MongoDB expanded integrations with Google Cloud's Vertex AI, BigQuery, Google Distributed Cloud and Google Cloud Manufacturing Data Engine.
MongoDB projected first quarter revenue of $436 million to $440 million with non-GAAP earnings of 34 cents a share to 39 cents a share. Wall Street was looking for revenue of $449.08 million with non-GAAP earnings of 61 cents a share.
Customers using MongoDB Atlas Vector Search and Atlas Search Nodes include AT&T Cybersecurity, Pathfinder Labs and UKG.
MongoDB launched a series of new features across its platform that illustrates that the company is staying aggressive on adding generative AI tools while remaining focused on developers.
MongoDB raised its outlook for the third quarter after delivering strong second-quarter results. The earnings land after a bevy of MongoDB launches focused on generative AI workloads.
