MongoDB Atlas
Stream Processing Atlas Stream Processing transforms building event-driven applications that react and respond continuously, by unifying how you work with data in-motion and data-at-rest. Whether you’re building reactive customer experiences or continuous analytics, Atlas Stream Processing enables processing high-velocity streams of complex data using the same data model and query interface that’s used for your database. Atlas Triggers & Functions Atlas Triggers allow you execute serverless application and database logic in response to events or on a predefined schedule. Use Triggers with Functions or send Trigger events directly to AWS EventBridge. Vector Search MongoDB Atlas Vector Search integrates advanced AI search seamlessly. Embed machine learning models effortlessly, explore RAG, semantic search, and more. Integrated with popular frameworks, it stores vector embeddings alongside your data, streamlining operations for an enhanced search experience. Atlas Resource Policy With Atlas Resource Policies, you can build and manage databases freely while staying within your organization’s security boundaries. Policies set at the Organization level automatically cascade down to all your Projects and clusters, giving you self-service access within those parameters. No more waiting for approvals or wrestling with compliance—just straightforward access to the Atlas capabilities you need. Atlas Search MongoDB’s Atlas Search feature offers fine-grained text indexing to enable advanced search functionality without any additional management required. Atlas Search provides options for several kinds of text analyzers, score-based results ranking, and a rich query language. MongoDB Charts MongoDB Charts is a tool to create visual representations of your MongoDB data. Data visualization is a key component to providing a clear understanding of your data, highlighting correlations between variables and making it easy to discern patterns and trends within your dataset.
