Connect MongoDB with AI Voice Assistant for flexible, schema-free call data storage. Use change streams for real-time call triggers and store rich conversation documents with nested data structures.
Flexible Data Model
Change Stream Triggers
Horizontal Scalability
Cloud-Native Support
Store complete call records as rich MongoDB documents with nested transcripts, metadata, and custom fields in a single document.
Use MongoDB change streams to trigger AI voice calls in real-time when documents are inserted or updated in your collections.
Analyze call data using MongoDB's powerful aggregation pipeline for custom metrics, trends, and performance reports.
Full-text search across call transcripts and conversation data using MongoDB Atlas Search for instant retrieval.
First-class support for MongoDB Atlas including serverless, dedicated, and shared cluster configurations.
Leverage MongoDB's sharding for horizontal scalability as your call volume grows to millions of records.
Connect MongoDB Instance
Provide your MongoDB connection string. Works with Atlas, self-hosted, and Docker-based MongoDB deployments.
Configure Collections
Select or create collections for contact data, call logs, and campaign tracking with flexible document schemas.
Set Up Change Streams
Configure change streams on your collections to trigger voice calls when new documents match your criteria.
Store & Analyze
Call data flows into MongoDB as rich documents. Use aggregation pipelines and Atlas charts for analysis.
"MongoDB change streams give us real-time call triggers without any polling. When our app inserts a new lead document, the AI calls within seconds. The developer experience is fantastic."
Anand Prakash
"Storing call transcripts as MongoDB documents lets us run aggregation pipelines for conversation analysis. We discovered patterns in customer objections that improved our scripts significantly."
Tara Krishnamurthy
AI-powered voice assistant from ₹6/min - 60% cheaper than alternatives
Use MongoDB's flexible document model and change streams to power data-driven AI voice campaigns.