I mostly use Google Cloud Storage Nearline ( /products/google-cloud-storage-nearline-reviews ) for backing up data that is not needed for daily activities. It is ideal for files that need to be stored for a minimum of thirty days. I also utilize Nearline for storing large files that come into the Google Cloud Storage ( /products/google-cloud-storage-reviews ) area.
I use Google Cloud Storage Nearline primarily as a storage solution for user data related to applications and websites. It serves as a container for saving and storing this data. Additionally, I utilize it for handling temporary files, particularly when working with Google Cloud Functions and Firebase Functions that have limitations with file sizes over 32 MB. In such cases, the data must first be downloaded to Google Cloud Storage before processing.
I utilize it for my cloud storage needs. It involves housing data in the cloud, particularly data that is rarely accessed, perhaps only a few times a month or even less frequently. It allows for efficient management of this type of data storage. This approach offers fixed costs and helps me optimize performance and achieve cost efficiency, especially when it comes to organizing and managing data clusters.
I work on infrastructure, mainly with computing and storage, networking, and security. I am looking for solutions for infrastructure, networking, security, and virtual machines.
Our primary use case of Google Cloud Storage Nearline is for storing unstructured data, like towers, files, and systems. We use it for both public and private cloud storage solutions.
We have automation for extracting information and putting that information in files in buckets for other integrations with other apartments of my company we use this solution for storage and integration.
Learn what your peers think about Google Cloud Storage Nearline. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
A low-cost, highly-durable and highly available storage service for infrequently accessed data, data archiving, online backup and disaster recovery. Data is available instantly, not within hours or days. With sub-second average response times and 1 cent per GB/month pricing, Cloud Storage Nearline gives you terrific performance at a low cost.
I mostly use Google Cloud Storage Nearline ( /products/google-cloud-storage-nearline-reviews ) for backing up data that is not needed for daily activities. It is ideal for files that need to be stored for a minimum of thirty days. I also utilize Nearline for storing large files that come into the Google Cloud Storage ( /products/google-cloud-storage-reviews ) area.
I use Google Cloud Storage Nearline primarily as a storage solution for user data related to applications and websites. It serves as a container for saving and storing this data. Additionally, I utilize it for handling temporary files, particularly when working with Google Cloud Functions and Firebase Functions that have limitations with file sizes over 32 MB. In such cases, the data must first be downloaded to Google Cloud Storage before processing.
I utilize it for my cloud storage needs. It involves housing data in the cloud, particularly data that is rarely accessed, perhaps only a few times a month or even less frequently. It allows for efficient management of this type of data storage. This approach offers fixed costs and helps me optimize performance and achieve cost efficiency, especially when it comes to organizing and managing data clusters.
I work on infrastructure, mainly with computing and storage, networking, and security. I am looking for solutions for infrastructure, networking, security, and virtual machines.
Our primary use case of Google Cloud Storage Nearline is for storing unstructured data, like towers, files, and systems. We use it for both public and private cloud storage solutions.
We have automation for extracting information and putting that information in files in buckets for other integrations with other apartments of my company we use this solution for storage and integration.
We primarily use the solution as storage for the databases.