Amazon Glacier vs Google Cloud Storage

Overview

Amazon Glacier

Stacks120

Followers97

Votes10

Google Cloud Storage

Stacks2.0K

Followers1.2K

Votes75

Amazon Glacier vs Google Cloud Storage: What are the differences?

Introduction

This markdown provides a comparison between Amazon Glacier and Google Cloud Storage, highlighting the key differences between the two services.

Data Storage and Retrieval: Amazon Glacier is designed for long-term archival storage with infrequent data retrieval, whereas Google Cloud Storage focuses on general-purpose object storage with fast and frequent access to data. Glacier offers reduced cost storage options for data that is accessed rarely, while Google Cloud Storage provides different storage classes for various performance and cost requirements.
Pricing Structure: Amazon Glacier employs a unique pricing model based on the amount of data stored, the number of requests made, and the data transfer out of Glacier. Google Cloud Storage, on the other hand, offers simpler pricing based on storage used, network egress, and retrieval and early deletion fees. Understanding the specific pricing structure of each service is crucial for planning and managing costs effectively.
Retrieval Times: When it comes to retrieving data, Amazon Glacier has longer retrieval times compared to Google Cloud Storage. Glacier's retrieval times can range from several minutes to hours, depending on the retrieval options selected. In contrast, Google Cloud Storage offers faster retrieval times for most storage classes, ensuring quicker access to the data stored.
Data Durability and Redundancy: Both Glacier and Google Cloud Storage provide high durability and redundancy for data protection. However, Amazon Glacier offers eleven nines (99.999999999%) durability per object stored, which makes it highly reliable for long-term archival needs. Google Cloud Storage guarantees at least eleven nines (99.999999999%) durability for regional and multi-regional storage classes.
Integration with Other Services: Amazon Glacier integrates seamlessly with other Amazon Web Services (AWS) and supports robust data lifecycle management through policies, notifications, and APIs. Google Cloud Storage integrates well with the entire Google Cloud Platform ecosystem, enabling users to leverage various services like BigQuery, Machine Learning, and Data Analytics for data processing and analysis.
Data Transfer Options: Google Cloud Storage provides an advantage in terms of data transfer options. It offers a wide range of tools and services, such as Transfer Service, Storage Transfer Service, and gsutil command-line tool, to facilitate the migration of data from on-premises, other cloud platforms, or from one Google Cloud Storage bucket to another. This simplifies the data transfer process and enhances data mobility.

In Summary, Amazon Glacier and Google Cloud Storage differ in terms of data storage and retrieval approach, pricing structure, retrieval times, data durability and redundancy, integration with other services, and data transfer options. Understanding these differences is essential in choosing the right storage solution for specific needs.

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Manual

Advice on Amazon Glacier, Google Cloud Storage

Gabriel

CEO at NaoLogic Inc

Dec 24, 2019

Decided

We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.

That's why we switched to S3 that just works.

330k views330k

Comments

Ben

May 18, 2020

Decided

We choose Backblaze B2 because it makes more sense for storing static assets.

We admire Backblaze's customer service & transparency, plus, we trust them to maintain fair business practices - including not raising prices in the future.

Lower storage costs means we can keep more data for longer, and lower bandwidth means cache misses don't cost a ton.

120k views120k

Comments

Detailed Comparison

Amazon Glacier	Google Cloud Storage
In order to keep costs low, Amazon Glacier is optimized for data that is infrequently accessed and for which retrieval times of several hours are suitable. With Amazon Glacier, customers can reliably store large or small amounts of data for as little as $0.01 per gigabyte per month, a significant savings compared to on-premises solutions.	Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
Low cost – Amazon Glacier is an extremely low-cost, pay-as-you-go storage service that can cost as little as $0.01 per gigabyte per month.;You store data in Amazon Glacier as archives. An archive can represent a single file or you may choose to combine several files to be uploaded as a single archive. Retrieving archives from Amazon Glacier requires the initiation of a job. Jobs typically complete in 3 to 5 hours. You organize your archives in vaults.;Secure – Amazon Glacier supports secure transfer of your data over Secure Sockets Layer (SSL) and automatically stores data encrypted at rest using Advanced Encryption Standard (AES) 256, a secure symmetric-key encryption standard using 256-bit encryption keys.;Durable – Amazon Glacier is designed to provide average annual durability of 99.999999999% for an archive. The service redundantly stores data in multiple facilities and on multiple devices within each facility.;Simple – Amazon Glacier allows you to offload the administrative burdens of operating and scaling archival storage to AWS, and makes retaining data for long periods, whether measured in years or decades, especially simple.	High Capacity and Scalability;Strong Data Consistency;Google Developers Console Projects;Bucket Locations;REST APIS;OAuth 2.0 Authentication;Authenticated Browser Downloads;Google Account Support for Sharing
Statistics
Stacks 120	Stacks 2.0K
Followers 97	Followers 1.2K
Votes 10	Votes 75
Pros & Cons
Pros 6 Cold Storage 3 Easy Setup 1 Cheap	Pros 28 Scalable 19 Cheap 14 Reliable 9 Easy 3 Chealp

What are some alternatives to Amazon Glacier, Google Cloud Storage?

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

Minio

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License

OpenEBS

OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.

Rackspace Cloud Files

Cloud Files, powered by OpenStack®, provides an easy to use online storage for files and media which can be delivered globally at blazing speeds over Akamai's content delivery network (CDN).

Storj

It is an open source, decentralized file storage solution. It uses encryption, file sharing, and a blockchain-based hash table to store files on a peer-to-peer network. The goal is to make cloud file storage faster, cheaper, and private.

RunAbove

We give you full access to the OpenStack API, which our compute (Nova) and storage (Swift) solutions are based on. This means no provider lock-in and easy automation of all your deployments. You can also manage your account and billing details via our RESTful API. You can choose between Horizon or OVH's easy-to-use web panel.

DigitalOcean Spaces

DigitalOcean Spaces are designed to make it easy and cost effective to store and serve massive amounts of data. Spaces are ideal for storing static, unstructured data like audio, video, and images as well as large amounts of text.

Rook

It is an open source cloud-native storage orchestrator for Kubernetes, providing the platform, framework, and support for a diverse set of storage solutions to natively integrate with cloud-native environments.

Related Comparisons

Amazon Glacier vs Google Cloud Storage: What are the differences?

Introduction

This markdown provides a comparison between Amazon Glacier and Google Cloud Storage, highlighting the key differences between the two services.

Data Storage and Retrieval: Amazon Glacier is designed for long-term archival storage with infrequent data retrieval, whereas Google Cloud Storage focuses on general-purpose object storage with fast and frequent access to data. Glacier offers reduced cost storage options for data that is accessed rarely, while Google Cloud Storage provides different storage classes for various performance and cost requirements.
Pricing Structure: Amazon Glacier employs a unique pricing model based on the amount of data stored, the number of requests made, and the data transfer out of Glacier. Google Cloud Storage, on the other hand, offers simpler pricing based on storage used, network egress, and retrieval and early deletion fees. Understanding the specific pricing structure of each service is crucial for planning and managing costs effectively.
Retrieval Times: When it comes to retrieving data, Amazon Glacier has longer retrieval times compared to Google Cloud Storage. Glacier's retrieval times can range from several minutes to hours, depending on the retrieval options selected. In contrast, Google Cloud Storage offers faster retrieval times for most storage classes, ensuring quicker access to the data stored.
Data Durability and Redundancy: Both Glacier and Google Cloud Storage provide high durability and redundancy for data protection. However, Amazon Glacier offers eleven nines (99.999999999%) durability per object stored, which makes it highly reliable for long-term archival needs. Google Cloud Storage guarantees at least eleven nines (99.999999999%) durability for regional and multi-regional storage classes.
Integration with Other Services: Amazon Glacier integrates seamlessly with other Amazon Web Services (AWS) and supports robust data lifecycle management through policies, notifications, and APIs. Google Cloud Storage integrates well with the entire Google Cloud Platform ecosystem, enabling users to leverage various services like BigQuery, Machine Learning, and Data Analytics for data processing and analysis.
Data Transfer Options: Google Cloud Storage provides an advantage in terms of data transfer options. It offers a wide range of tools and services, such as Transfer Service, Storage Transfer Service, and gsutil command-line tool, to facilitate the migration of data from on-premises, other cloud platforms, or from one Google Cloud Storage bucket to another. This simplifies the data transfer process and enhances data mobility.

Amazon Glacier vs Google Cloud Storage

Overview

Amazon Glacier vs Google Cloud Storage: What are the differences?