MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.PostgreSQL Integrations
It's easy to connect MongoDB + PostgreSQL without coding knowledge. Start creating your own business flow.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Create a new document in a collection of your choice.
Adds a new row.
Updates an existing row.
MongoDB is a document oriented database with the ability to store data in the form of JSON.
PostgreSQL is an open source relational database. It is an object-relational database management system(ORDBMS. It is also known as Postgres. It provides multi-user access to a number of databases. Relational database management systems provide a mechanism to organize, search, and manipulate data in relational tables, the basic abstraction in relational databases.
MongoDB and PostgreSQL both have the capability of storing data in the form of JSON. The two databases are designed differently, but they are compatible. Integration of these two databases can be done using SObjectizer. This integration makes the data in both the databases available to each other.
The integration of MongoDB and PostgreSQL has various benefits. Some of those are as fplows:
MongoDB and PostgreSQL both are open source technpogies that provide various benefits to their users. Thus, the integration of these two databases provides a great opportunity for users to get the benefits from both the technpogies.
These two databases have different strengths and weaknesses. So by integrating them, the user can utilize the strength of one and compensate for its weakness by using the other database. For example, if you want to work on a project that requires complex joins or transactions, you can use PostgreSQL. On the other hand, if you want to store huge amounts of unstructured data, you can use MongoDB. In this way, you can make use of both databases to get your project completed successfully. Moreover, it saves time as it is not required that all the data should be stored in only one database.
If you are still thinking about using only one database for your project or business, then don’t waste your time anymore. Just try out this integration and see how it helps you to complete your project successfully within a short span of time.
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