Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs.
PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.
Want to explore Cloud Firestore + PostgreSQL quick connects for faster integration? Here’s our list of the best Cloud Firestore + PostgreSQL quick connects.Explore quick connects
Looking for the PostgreSQL Alternatives? Here is the list of top PostgreSQL Alternatives
It's easy to connect Cloud Firestore + PostgreSQL without coding knowledge. Start creating your own business flow.
New Document Within a Firestore 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
Creates a new document within a Cloud Firestore collection.
Adds a new row.
Updates an existing row.
Cloud Firestore is a real-time database service by Google that stores data in JSON format and allows users to create, update and delete data in real time. Data can be stored as documents with cplections of documents. Cloud Firestore gives the ability to organize data into cplections, allowing the user to have a more fine-grained access contrp than an entire server.
Firestore is able to replicate data across multiple regions in real time so that it can be available anywhere at any time. It can also be used alongside other Google Cloud services such as BigQuery, Cloud Dataflow, and Cloud Datastore to work with large amounts of data.
PostgreSQL is a relational database management system (RDBMS. which supports SQL, the most popular and standard language in the industry for accessing and managing data. It can be used to store any type of data, from text to binary large objects including various media types and geospatial data. PostgreSQL is developed by the PostgreSQL Global Development Group, consisting of a handful of companies and individual contributors.
Cloud Firestore can be integrated with PostgreSQL using StreamView to create a near real-time pipeline for stream processing. StreamView is a stream processor that works in conjunction with Cloud Pub/Sub and Cloud Dataflow to process streaming data in real time. It allows Google Analytics's 'Profile' page to show real-time metrics.
In order to connect Cloud Firestore and PostgreSQL, they must each have their own project created on the Google Cloud Platform. Once these projects are created, an instance of either PostgreSQL or Firestore must be created on a Compute Engine virtual machine instance running in a region that both projects are located in. A Compute Engine instance can only run one application at a time, so if a specific application needs to be deployed on more than one instance, Compute Engine's multi-instance feature must be enabled before provisioning the instances. The Compute Engine instances will have a boot disk attached to them that is used to store the data locally on each server before sending it via HTTP calls to Cloud Pub/Sub.
Once the databases have been connected, data can be streamed directly from PostgreSQL into Cloud Firestore in real time. This can happen at any time, even while new data is being recorded in PostgreSQL. This means that there is no need to wait for a batch job to complete before continuing development on another part of the application. The documentation for setting up StreamView can be found here.
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