AWS Snowball: What It Is and When to Use It

Definition

AWS Snowball is a service that uses rugged, portable, and secure physical devices to transfer petabyte-scale datasets into and out of the AWS Cloud, bypassing the public internet. It solves the challenges of long transfer times, high network costs, and security concerns associated with moving massive amounts of data over a network connection.

How It Works

AWS Snowball provides a physical data transport and edge computing solution. The process involves ordering a device, transferring data locally, and shipping the device back to AWS for data ingestion.

1. Create a Job: You begin by creating a job in the AWS Snow Family Management Console. You select the device type (Storage Optimized or Compute Optimized), specify your Amazon S3 buckets for import or export, and configure security settings like AWS Key Management Service (KMS) keys.
2. Receive the Device: AWS prepares and ships a Snowball Edge device to your specified location. The device arrives pre-configured for your job.
3. Connect and Transfer: Once the device arrives, you connect it to your local area network (LAN). Using the AWS OpsHub for Snow Family graphical interface, you unlock the device with credentials downloaded from the console. You can then transfer data to the device using an Amazon S3 compatible endpoint or a Network File System (NFS) file interface.
4. Edge Compute (Optional): For Snowball Edge devices, you can run local compute workloads using pre-loaded Amazon EC2 AMIs or AWS Lambda functions. This is useful for pre-processing data in environments with limited or no connectivity.
5. Return and Ingest: After the data transfer is complete, you power down the device. An E Ink shipping label on the device automatically updates with the correct AWS return address. Once the device is received at a secure AWS facility, the data is transferred at high speed into your designated S3 bucket.
6. Secure Erasure: After the data import is verified, AWS performs a secure software erasure of the device according to National Institute of Standards and Technology (NIST) guidelines.

Key Features and Limits

• Device Options (as of 2026): The service primarily uses AWS Snowball Edge devices.
  • Snowball Edge Storage Optimized: Designed for large-scale data migration. The latest generation offers 210 TB of usable NVMe SSD storage. A 100 TB pricing option is also available for smaller jobs.
  • Snowball Edge Compute Optimized: Built for edge computing workloads. It provides 104 vCPUs, 416 GB of memory, and 28 TB of usable NVMe SSD storage.
• High-Speed Transfer: Devices are equipped with high-speed network interfaces, including RJ45, SFP+, and QSFP+ ports, supporting speeds up to 100 Gb/s.
• Security: Snowball features a multi-layered security approach.
  • Encryption: All data is protected with 256-bit encryption managed with AWS KMS keys that you provide. These keys are never stored permanently on the device.
  • Physical Security: Devices have rugged, tamper-resistant enclosures and a Trusted Platform Module (TPM) to ensure integrity.
• Edge Computing: Run Amazon EC2 instances and AWS Lambda functions directly on Snowball Edge devices, enabling data processing and analysis in disconnected or remote environments.
• Clustering: You can cluster 5 to 10 Snowball Edge devices to create a local storage pool with increased durability and capacity for edge computing jobs.
• Management: AWS OpsHub provides a user-friendly graphical interface to set up, manage, and monitor the devices without needing an internet connection.

Common Use Cases

• Petabyte-Scale Data Migration: The primary use case is moving large datasets, such as databases, backups, archives, and data lakes, from on-premises data centers to Amazon S3. It is ideal when transferring data over the internet would take more than a week.
• Datacenter Decommissioning: When shutting down a datacenter, Snowball provides a fast and efficient way to migrate petabytes of data to AWS.
• Disaster Recovery: Quickly and securely transfer large volumes of backup data to AWS, ensuring business continuity in case of an on-premises disaster.
• Edge Computing in Disconnected Environments: Collect, process, and analyze data in remote locations with limited or no internet connectivity, such as factory floors, mining sites, ships, or oil rigs. For example, you can perform machine learning inference or video analysis locally before transferring results to AWS.
• Content Distribution: Efficiently distribute large media files, scientific datasets, or software updates to multiple locations without being constrained by network bandwidth.

Pricing Model

The AWS Snowball pricing model is composed of several components:

• Service Fee Per Job: There is a one-time fee for each data transfer job you create. This fee covers the preparation of the device and includes a certain number of days of on-site usage (e.g., 10 days) at no extra cost.
• Extra Day Charges: If you keep the device on-site longer than the initial included period, a per-day fee is charged.
• Data Transfer: Data transfer into Amazon S3 from the device is free. Data transfer out of Amazon S3 to a device for an export job is charged at standard regional data transfer rates.
• Shipping: Shipping costs are based on standard carrier rates for your region.
• Long-Term Pricing: For extended edge computing use cases, AWS offers 1-year and 3-year committed use discounts, which can provide significant savings (up to 62%) compared to on-demand pricing.

Always consult the official AWS Pricing page for the most current details.

Pros and Cons

Pros:

• Speed: For multi-terabyte or petabyte-scale datasets, Snowball is significantly faster than transferring data over the internet.
• Cost-Effective: It can be more economical than upgrading your internet connectivity for a one-time or infrequent large-scale data transfer.
• Security: Robust end-to-end security, including physical tamper-resistance and strong encryption, protects data at rest and in transit.
• Edge Compute Capabilities: Snowball Edge devices bring AWS compute services to harsh or disconnected environments, enabling local data processing.
• Simplicity: The process is managed through the AWS Console, and the AWS OpsHub tool simplifies on-site device management.

Cons:

• Lead Time: The process involves physical shipping, which introduces transit time for the device to arrive at your site and be returned to AWS.
• Not for Real-Time Data: It is not suitable for workloads that require continuous, real-time data replication.
• Physical Handling: Requires on-site personnel to receive, connect, and manage the physical hardware.

Comparison with Alternatives

• AWS DataSync: An online data transfer service that automates and accelerates moving data between on-premises storage (NFS, SMB) and AWS storage services like S3 or EFS. DataSync is ideal for ongoing data replication, migration of active datasets, and when you have sufficient network bandwidth. Snowball is the better choice when network bandwidth is severely limited or the dataset is so large that a physical transfer is faster.
• AWS Direct Connect: Provides a dedicated private network connection from your premises to AWS. It offers consistent, high-bandwidth, and low-latency connectivity. Direct Connect is a good choice for continuous, high-volume data transfers between your datacenter and AWS. However, it involves a significant upfront investment and long-term contract, whereas Snowball is better suited for one-off or periodic large-scale transfers without altering network infrastructure.
• Internet Transfer (with S3 Transfer Acceleration): For smaller datasets (up to a few terabytes), transferring data over the internet directly to Amazon S3, potentially enhanced with Amazon S3 Transfer Acceleration, can be the simplest method. Snowball becomes more practical and cost-effective as data volumes grow into the tens or hundreds of terabytes.

Exam Relevance

AWS Snowball is a common topic on several AWS certification exams, including:

• AWS Certified Cloud Practitioner (CLF-C02): Understand the basic use case—when to use Snowball for large data migration instead of network transfer.
• AWS Certified Solutions Architect – Associate (SAA-C03): Know the different Snowball device types (Storage Optimized vs. Compute Optimized), their capacities, and the specific scenarios for each. Be prepared to choose between Snowball, DataSync, and Direct Connect based on a given migration scenario.
• AWS Certified Solutions Architect – Professional (SAP-C02): Expect deeper questions on hybrid architectures, security (encryption, KMS), and optimizing large-scale migration logistics with multiple devices.
• AWS Certified Data Analytics – Specialty (DAS-C01): Understand its role in the data ingestion pipeline for massive datasets that will be used for analytics in AWS.

Examinees should focus on the core problem Snowball solves (overcoming network limitations for large data volumes) and its security features.

Frequently Asked Questions

Q: How much data can a single AWS Snowball Edge device hold?

A: As of 2026, a Snowball Edge Storage Optimized device has 210 TB of usable storage capacity for data migration jobs. For larger datasets, you can order multiple devices and use them in parallel to transfer petabytes of data.

Q: Is the data on a Snowball device secure during transit?

A: Yes, data security is a core feature. All data is encrypted on the device using 256-bit encryption with keys you manage in AWS KMS. The devices are also in rugged, tamper-resistant enclosures, and AWS performs a secure wipe of the device after the data is successfully ingested.

Q: What is the difference between Snowball Edge Storage Optimized and Compute Optimized?

A: The Storage Optimized device is designed primarily for large-scale data transfer and has the maximum storage capacity (210 TB). The Compute Optimized device has less storage (28 TB) but significantly more processing power (104 vCPUs, 416 GB RAM), making it ideal for running complex edge computing workloads, such as data analysis, video processing, or machine learning, in environments with limited connectivity.

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This article reflects AWS features and pricing as of 2026. AWS services evolve rapidly — always verify against the official AWS documentation before making production decisions.