How to load your data from MongoDB to PostgreSQL

Pipes allows you to automatically replicate your MongoDB data into PostgreSQL on your defined schedule.
Load all your data from MongoDB to PostgreSQL to instantly get access to your MongoDB data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your MongoDB data into PostgreSQL. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to PostgreSQL

This will be the destination of all data pipelines you build. Besides PostgreSQL, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to MongoDB

Just enter your credentials to allow Pipes access to the MongoDB API. Then Pipes is able to retrieve your data from MongoDB.
3

Create a data pipeline from MongoDB to PostgreSQL

Pipes lets you select the data from MongoDB you want to have in PostgreSQL. This pipeline will run automatically on your defined schedule!

About MongoDB

MongoDB is an open-source document-oriented cross-platform database program that uses JSON-like documents with schemas and is classified as a NoSQL database. The main features of MongoDB among others cover file storage, load balancing, indexing, ad-hoc queries.

About PostgreSQL

PostgreSQL is a powerful open-source object-relational database system. By supporting UNIX, Linux, BSD, AIX, SGI IRIX, HP-UX, Solaris, Mac OS X, Tru64, and Windows PostgreSQL runs on all major operating systems.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.