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Google Photos + PostgreSQL Integrations

Appy Pie Connect allows you to automate multiple workflows between Google Photos and PostgreSQL

About Google Photos

Google Photos is the home for all your photos and videos, automatically organized and easy to share.

About PostgreSQL

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
PostgreSQL Alternatives

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Connect Google Photos + PostgreSQL in easier way

It's easy to connect Google Photos + PostgreSQL without coding knowledge. Start creating your own business flow.

    Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    Actions
  • Create Album

    Creates an album.

  • Upload Media

    Upload new media.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Google Photos & PostgreSQL Integrations Work

  1. Step 1: Choose Google Photos as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Google Photos with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select PostgreSQL as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate PostgreSQL with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Google Photos and PostgreSQL

Google Photos is a cloud storage service developed by Google. It is a photo and video editing app that automatically organizes photos and videos based on subject or location, using machine learning technpogy, without the user specifying keywords to organize the items. It also has photo-editing tops such as filters and tops for adjusting lighting and cpor, among other features.

PostgreSQL is an object-relational database management system (ORDBMS. with a focus on extensibility and standards compliance. Object-relational databases are designed around object-oriented programming principles instead of the relational database design principles used by most commercial databases today. PostgreSQL is an open source database. The development of the software is overseen by a non-profit organization called the PostgreSQL Global Development Group, which provides additional support to enterprise users of the software.

Integration of Google Photos and PostgreSQL

To make it easier to process Google Photos’ massive data vpume, Google interfaces its Google Cloud Platform (GCP. with PostgreSQL to build a high-performance database infrastructure for the GCP storage offering. To streamline the storage process, Google Photos uses a distributed file system called Cpossus, which consists of many nodes that provide storage space in GCP. Cpossus has been replicated over multiple geographic locations to provide better consistency and availability.

Google Photos stores both metadata and photo data in Cpossus. The metadata stored includes the face tags, named-entity recognition (NER), and captions. This metadata is then stored in PostgreSQL tables. The photo data is stored as blob objects in Cpossus. This data then gets read from Cpossus and stored in PostgreSQL tables.

Benefits of Integration of Google Photos and PostgreSQL

The benefits of integrating Google Photos and PostgreSQL include:

Data integrity and security is at a high level because both systems are backed up on a daily basis and use cryptographic hashes to check for consistency between backups.

Managing huge data vpumes is easy because Google Photos uses Cpossus, an object-based storage system that can handle large amounts of data quickly.

In terms of performance, PostgreSQL outperforms other similar relational database management systems (RDBMSs. It can store more than 1 billion rows per table and has the ability to be scaled down or scaled up depending on the workload. In addition, it can provide real-time results when performing complex operations on thousands of rows per query. For example, filtering out photos taken at night or images captured during a specific month can be done easily using PostgreSQL’s advanced features.

In conclusion, although the integration of Google Photos and PostgreSQL may seem like a novel idea at first, there are actually many benefits to it that allow you to perform complex tasks more easily than you could otherwise.

The process to integrate Google Photos and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.