Google Photos is the home for all your photos and videos, automatically organized and easy to share.
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
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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 an album.
Upload new media.
Adds a new row.
Updates an existing row.
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.
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.
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.
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