Better Together: A Unified Platform for Secure, Real-Time Government Data
Confluent and MongoDB work together to modernize fragmented legacy systems, streamline real-time analytics and improve data governance for mission-critical Government operations. Discover how Confluent’s cloud-native data streaming platform continuously transfers high-quality event data into MongoDB Atlas to mitigate information silos, modernize workloads and deliver faster, more reliable services to citizens.
Modernize Government Data Storage and Streaming
The Confluent and MongoDB integration creates a unified data architecture that seamlessly connects Apache Kafka data streaming with Atlas database to securely capture, store and mobilize sensitive data. By leveraging change-data-capture (CDC) feeds and vector search to power retrieval augmented generation (RAG) workflows, agencies can build event-driven applications with the flexibility to support up-to-date analytics, generative AI and compliance requirements.
Connect Applications with
Confluent’s Data Streaming Platform
Built on Apache Kafka’s open source platform, Confluent provides a centralized event-driven solution for agencies to process, govern and integrate data across IT environments. With cloud-native scalability and flexibility, agencies can modernize legacy systems, improve situational awareness and support informed decision-making while maintaining secure, compliant data movement.
Manage Data Storage in Real-Time with MongoDB
MongoDB is a fully managed document database with built-in global clusters, intelligent indexing and vector search capabilities that support RAG workflows by accurately retrieving information from internal and external datasets to improve AI-generated outputs. Explore how agencies store and query operational data, enrich AI workloads and build modern applications that respond instantly to mission needs.