MongoDB is a document database with the scalability and flexibility that you want and the querying and indexing that you need. Read more about MongoDB. Etlworks can read and write data stored in MongoDB.
What can you do with MongoDB in Etlworks
Connect to MongoDB To work with MongoDB, you will need to create a MongoDB Connection. |
Extract data from MongoDB You have three ways to extract data from MongoDB: from a collection, from a specific document or a group of documents, and capture changes in MongoDB documents and collections. |
Load data in MongoDB You have two ways to load data from MongoDB: create a separate document for each source record and create a single document. |
Work with documents in MongoDB You can copy, download, or delete documents in MongoDB. |
Change Data Capture (CDC) from transaction log Etlworks supports native log-based change data capture for PostgreSQL, SQL Server, MySQL, Oracle, DB2, and MongoDB. |
Use SQL with MongoDB Etlworks MongoDB connectors can automatically translate standard SQL to MongoDB queries.
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Videos
ETL and CDC with MongoDB Watch hot to create flows to stream data in and from message queues such as Kafka |
Related case studies
Load metadata into MongoDB and create APIs for retrieving metadata for movies and shows. |
NBCUniversal, a global leader in media and entertainment, needed a robust and scalable solution to integrate metadata for movies and shows from various sources into MongoDB and internal systems. With Etlworks, they implemented flexible pipelines capable of handling data from diverse formats and managing hundreds of thousands of API calls daily, all within a horizontally scalable cluster. |
CDC data from multiple MongoDB databases to Snowflake and connect various MQTT brokers streaming device data in real-time.
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Ambyint, a leader in production optimization and artificial intelligence for the oil and gas industry, uses Etlworks to seamlessly integrate real-time data across diverse systems. By leveraging Etlworks’ capabilities, Ambyint synchronizes Change Data Capture (CDC) data from multiple MongoDB databases into Snowflake in real-time and connects to various MQTT brokers (v3.x and 5.x) to stream device data continuously. This setup ensures that critical data flows efficiently, empowering Ambyint to deliver actionable insights faster. |
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