change-streams

a go daemon that syncs MongoDB to Elasticsearch in realtime. you know, for search.

MongoDB driver for Elixir

SQL Server Change Stream sample using Debezium

Agentic event-venue operator demo built on MongoDB Atlas. Showcases three-layer memory (long-term, short-term, shared), hybrid retrieval with Voyage AI multimodal embeddings, optional Langfuse traces, and persona-segmented agent decisions during a rain delay scenario at a.

Sync your production database (PII proof) to a secondary database (cold storage) instance for data scientists, data synthesization, data partitioning or other purposes. Supports MongoDB, MySQL, PostgreSQL, Redis with real-time sync. #hot-storage #cold-storage

Tired of performance issues & expensive databases? redfly is a proven alternative to conventional database techniques powered by Redis. We accelerate both SQL and NoSQL databases cost-effectively.

Sample reactive application using Angular, Spring Boot, Spring Webflux and MongoDB. It also demonstrates the Change Streams feature of MongoDB.

Roger that! Mongo change stream listener with message-queue-like semantics

Gaining ML Insights with GCP Vision API and MongoDB Atlas

MongoDB-backed job scheduler for Node.js with atomic locking, retries (exponential backoff), cron scheduling, and event-driven observability.

A real-time replication tool for MongoDB replica set using change streams.

The reviewer dies. The lesson ships. A confirmed production failure becomes a durable review contract in MongoDB — enforced on every future PR in that subsystem by a fresh reviewer that never saw the incident.

Declarative MongoDB Change Streams for Spring Boot — resilient, annotation-driven, zero-config.

Python3.x based automated script to detect changes in MongoDB for incoming EPC documents, obtain IoT information based on meta-data and send relevant data to a Blockchain API

Docker image: MongoDB with replica set out of the box. For Node.js, Mongoose, Change Streams, transactions. One container, no init scripts.

This demo showcases how retailers can turn digital receipts into personalized, AI-powered experiences using MongoDB Atlas. Built with event-driven microservices, this solution demonstrates how to centralize invoice data and use it in real time to enrich customer journeys.

A real-time fraud detection demo built with Spring Boot, Apache Kafka, and MongoDB Vector Search. It generates synthetic transactions, embeds each one with OpenAI via Spring AI, streams them through Kafka into MongoDB, and uses Change Streams + vector similarity against a user’s history to flag anomalous transactions as potential fraud.

Provides a set of tools to operate on mongodb

Docker application to count the changes that occur in a MongoDB collection through Change Streams

Node.js back-end that exposes CRUD functionality and queries to a MongoDB collection using the library devextreme-query-mongodb