MongoDB for Manufacturing and Mobility
The future of manufacturing is software-defined. MongoDB unifies your complex IT and OT data to power connected products and autonomous supply chains.

Your path to a smarter enterprise
Reduce technical debt and TCO
Offload expensive, rigid legacy platforms like mainframes and historians. MongoDB’s unified platform removes the need for niche databases for time-series, search, and mobile. Consolidate your infrastructure to unlock budget for Industry 4.0 initiatives and new product development while safely reducing total cost of ownership (TCO).
Ensure 24/7 always-on operations
Availability is non-negotiable. Our resilient infrastructure uses replica sets and rolling upgrades to keep production lines and connected services running through planned and unplanned outages. Strengthen business continuity with robust disaster recovery and real-time replication for critical, global supply chains.
Built for industrial scale
Industry solutions for modern ops
Scale with modern resources


Director of Engineering, Toyota Connected
The partners and platform for innovation
FAQs
MongoDB supports high-velocity IoT and telemetry data using time series collections and dynamic sharding. Time series collections automatically optimize write speed and compress sensor data from connected assets. Dynamic sharding horizontally scales across global regions, enabling MongoDB Atlas to process millions of telemetry events per second while maintaining sub-second query speeds and ACID compliance.
Yes. MongoDB integrates with legacy MES, ERP, SCADA, and historian systems through an operational data layer (ODL) architecture. By using native connectors, event streaming (Kafka), and MongoDB Relational Migrator, manufacturers can offload high-volume read traffic from legacy mainframes without disrupting existing factory operations.
MongoDB combines flexible document schemas with strict JSON Schema Validation. While developers can easily append new sensor fields or attributes without downtime, database administrators can enforce schema validation rules on critical collections to maintain strict data quality, governance, and compliance across industrial IT and OT systems.
MongoDB acts as the centralized data persistence layer in a Unified Namespace (UNS) architecture. It unifies real-time event streams from MQTT brokers, OPC UA servers, PLCs, and MES applications into a single JSON-native operational data layer, giving enterprise AI models and analytics engines a single source of truth across all manufacturing plants.
Yes. MongoDB Atlas Vector Search allows manufacturers to combine real-time IoT sensor streams with unstructured data like repair manuals, maintenance logs, and acoustic diagnostics. By generating vector embeddings in Atlas, AI models and multi-agent workflows can perform automated root-cause analysis and trigger predictive maintenance work orders before equipment fails.
MongoDB Atlas provides enterprise-grade security for sensitive operational and supply chain data. It includes client-side field level encryption (CSFLE), Queryable Encryption, end-to-end data encryption in transit and at rest, fine-grained role-based access controls (RBAC), and compliance certifications including ISO 27001, SOC 2, HIPAA, and GDPR.
Build your next connected application
- Free to get started
- Full ACID compliance
- Enterprise-grade security
- Global clusters
- Built-in AI tools
