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MongoDB to PostgreSQL in minutes

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MongoDB

MongoDB is a NoSQL document-oriented database that stores data in JSON-like documents with dynamic schema, making it very flexible and easy to work with. Connecting <a href="/mongodb-to-snowflake"> MongoDB to a Data Warehouse</a> can help schematize the data for analytics purposes.

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PostgreSQL

Postgres is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. It was originally named POSTGRES, but in 1996, the project was renamed to PostgreSQL to reflect its support for SQL. PostgreSQL features transactions with Atomicity, Consistency, Isolation, Durability (ACID) properties, automatically updatable views, materialized views, triggers, foreign keys, and stored procedures. It is designed to handle a range of workloads, from single machines to data warehouses or Web services with many concurrent users. It was the default database for macOS Server and is also available for Linux, FreeBSD, OpenBSD, and Windows.

Estuary helps move data from MongoDB to PostgreSQL in minutes with millisecond latency.

Estuary builds free, open-source connectors to extract data from MongoDB and write data to in real-time, allowing you to enable a copy of your data wherever you want.

All your data, where you need it

Consolidate your data into the leading warehouses, then integrate with your tools of choice.
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