Integrate Cloud Firestore with PostgreSQL

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.

Integration of Cloud Firestore and PostgreSQL

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.

Benefits of Integration of Cloud Firestore and PostgreSQL

Due to how well integrated these two services are, there are many different benefits that come from using them together. Being able to use PostgreSQL for storing historical data and then using Firestore for storing and streaming data in real time provides flexibility for developers using this set up. Using both services in tandem allows Firestore users to get the best of both worlds when it comes to real-time capabilities and historical data storage capabilities. As mentioned before, it also provides flexibility for the developer because there is no longer a need to wait for large batches of data to be processed before continuing development on another part of the application. This allows developers to continue on with developing the application while new data is streamed directly into Firestore and made available almost immediately. Also, storing data in JSON allows developers to use standardized tops such as JavaScript, AngularJS, React, etc., making integration easier than ever before.

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