StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Data Backup
  5. Amazon Glacier vs Amazon Kinesis Firehose

Amazon Glacier vs Amazon Kinesis Firehose

OverviewComparisonAlternatives

Overview

Amazon Glacier
Amazon Glacier
Stacks120
Followers97
Votes10
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Stacks239
Followers185
Votes0

Amazon Glacier vs Amazon Kinesis Firehose: What are the differences?

Amazon Glacier vs Amazon Kinesis Firehose

Amazon Glacier and Amazon Kinesis Firehose are two distinct services offered by Amazon Web Services (AWS) with different use cases and functionalities. Below are the key differences between the two services:

  1. Data Ingestion: Amazon Glacier is primarily designed for long-term storage of data archives, where data is stored for a long duration with infrequent access. On the other hand, Amazon Kinesis Firehose is a real-time data delivery service that ingests, transforms, and loads streaming data into AWS data stores like Amazon S3, Amazon Redshift, or Amazon Elasticsearch.

  2. Data Retrieval: With Amazon Glacier, retrieving data involves a three to five-hour retrieval time period, making it suitable for data that is not frequently accessed. In contrast, Amazon Kinesis Firehose delivers real-time streaming data without the need for manual intervention, providing near real-time analytics on the ingested data.

  3. Data Processing: Amazon Glacier does not offer real-time data processing capabilities. It is primarily a data archiving service with a focus on low-cost storage of data archives. On the other hand, Amazon Kinesis Firehose provides data transformation capabilities, enabling users to transform and preprocess data before loading it into AWS data stores, facilitating analytics and insights generation.

  4. Pricing Model: Amazon Glacier follows a pricing model based on data retrieval requests, data transfer out, and storage duration. In contrast, Amazon Kinesis Firehose charges based on the amount of data ingested into the service, offering a simple pricing structure without additional charges for data processing or transformation.

  5. Data Granularity: Amazon Glacier is suitable for storing large amounts of data in large archives, making it ideal for backup and archival purposes. Amazon Kinesis Firehose, on the other hand, is optimized for handling real-time streaming data with a focus on ingesting and delivering data continuously and reliably.

  6. Use Case: Amazon Glacier is commonly used for data archiving, backup, and compliance requirements where data needs to be stored for an extended period without frequent access. Amazon Kinesis Firehose, on the other hand, is ideal for real-time analytics, log processing, and data transformation scenarios that require immediate insights from streaming data sources.

In Summary, Amazon Glacier and Amazon Kinesis Firehose serve distinct purposes with Glacier focusing on long-term storage of data archives and Firehose providing real-time data ingestion and processing capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Amazon Glacier
Amazon Glacier
Amazon Kinesis Firehose
Amazon Kinesis Firehose

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.

Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.

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.
Easy-to-Use;Integrated with AWS Data Stores;Automatic Elasticity;Near Real-time
Statistics
Stacks
120
Stacks
239
Followers
97
Followers
185
Votes
10
Votes
0
Pros & Cons
Pros
  • 6
    Cold Storage
  • 3
    Easy Setup
  • 1
    Cheap
No community feedback yet
Integrations
No integrations available
Amazon S3
Amazon S3
Amazon Redshift
Amazon Redshift

What are some alternatives to Amazon Glacier, Amazon Kinesis Firehose?

Google Cloud Dataflow

Google Cloud Dataflow

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

Amazon Kinesis

Amazon Kinesis

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

Earnings Feed API

Earnings Feed API

REST API for real-time SEC filings data. Access 10-K, 10-Q, 8-K filings and Form 4 insider transactions as they hit EDGAR. Filter by ticker, form type, or date range. Build alerts, power dashboards, or integrate into trading systems. Free tier available.

restic

restic

It is a backup program that is fast, efficient and secure. It uses cryptography to guarantee the confidentiality and integrity of your data.

Veeam Backup & Replication

Veeam Backup & Replication

It is industry-leading Backup & Replication software. It delivers availability for all your cloud, virtual and physical workloads. Through a simple-by-design management console, you can easily achieve fast, flexible and reliable backup, recovery and replication for all your applications and data.

Borg

Borg

It is a deduplicating backup program. It provides an efficient and secure way to backup data. The data deduplication technique used makes it suitable for daily backups since only changes are stored. The authenticated encryption technique makes it suitable for backups to not fully trusted targets.

AWS Storage Gateway

AWS Storage Gateway

The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage. Once the AWS Storage Gateway’s software appliance is installed on a local host, you can mount Storage Gateway volumes to your on-premises application servers as iSCSI devices, enabling a wide variety of systems and applications to make use of them. Data written to these volumes is maintained on your on-premises storage hardware while being asynchronously backed up to AWS, where it is stored in Amazon Glacier or in Amazon S3 in the form of Amazon EBS snapshots. Snapshots are encrypted to make sure that customers do not have to worry about encrypting sensitive data themselves. When customers need to retrieve data, they can restore snapshots locally, or create Amazon EBS volumes from snapshots for use with applications running in Amazon EC2. It provides low-latency performance by maintaining frequently accessed data on-premises while securely storing all of your data encrypted.

Afi

Afi

Afi.ai is the latest generation of data protection for M365, Google Workspace & Kubernetes. Clean & responsive UI, easy to use SLA-based protection settings, and 2-3x better backup/restore performance compared to legacy vendors.

RainyDay Backup

RainyDay Backup

RainyDay Backup offers an easily configurable system that enables you to back up your Azure DevOps source code, Work Items and NuGet artifacts and more.

runrestic

runrestic

It is a simple Python wrapper script for the Restic backup software that initiates a backup, prunes any old backups according to a retention policy, and validates backups for consistency. The script supports specifying your settings in a declarative configuration file rather than having to put them all on the command-line, and handles common errors.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope