Encryption in-transitMongoDB Enterprise Advanced supports encryption in-transit using Transport Layer Security (TLS). In Atlas, all network traffic to MongoDB clusters is protected by TLS by default. TLS cannot be disabled and the default version is TLS v1.2. Data that is transmitted to MongoDB clusters, as well as data transmitted between nodes of your MongoDB clusters, is encrypted in-transit us
Today we are announcing the Preview release of Queryable Encryption, which allows customers to encrypt sensitive data from the client side, store it as fully randomized encrypted data on the database server side, and run expressive queries on the encrypted data. With the introduction of Queryable Encryption, MongoDB is the only database provider that allows customers to run expressive queries, suc
“I have lots of experience with SQL and normalized databases, but I’m just a beginner with MongoDB. How do I model a one-to-N relationship?” This is one of the more common questions I get from users attending MongoDB office hours. I don’t have a short answer to this question, because there isn’t just one way, there’s a whole rainbow’s worth of ways. MongoDB has a rich and nuanced vocabulary for ex
Customer success storiesMore than 47,800 customers have chosen to build the applications of today and tomorrow on MongoDB. To provide the best online customer experience possible, Ulta Beauty selected MongoDB Atlas to transform their legacy technology stack into a secure, scalable, and agile solution.
Transforming legacy banking systems to build intelligent applications with MongoDB and Microsoft From shifts in the market to changes in the regulatory landscape to aging legacy systems, financial institutions are under pressure to modernize their legacy core systems and build intelligent applications. At the heart of it all lies software and data, architecting systems for real-time adaptability,
MongoDB BlogAnnouncements, updates, news, and more The Converged AI and Application Datastore for Insurance In the inherently information-driven insurance industry, companies ingest, analyze, and process massive amounts of data, requiring extensive decision-making. To manage this, they rely on a myriad of technologies and IT support staff to keep operations running smoothly but often lack effectiv
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