跳至主要内容

AWS Snow Family 和 AWS Snowball 有什么区别？

并排比较 AWS Snow Family 和 AWS Snowball — 功能、定价和理想使用场景，以帮助您选择正确的产品。

并排比较

比较
AWS Snow 系列
AWS Snowball
类别

存储、边缘和传输

存储、数据传输
说明

用于在边缘收集和处理数据以及将数据迁入和迁出 AWS 的物理设备。

PB 级数据传输解决方案，使用安全设备将大量数据传入和传出 AWS。
最适用于
  • 边缘计算
  • 数据迁移
  • 战术边缘
  • 断开连接的环境
  • 大规模数据迁移
  • 灾难恢复
  • 数据中心停用
  • 内容分配
主要功能
  • Snowcone
  • Snowball Edge
  • Snowmobile
  • 边缘计算
  • NFS 支持
  • Snowball Edge Compute Optimized
  • Snowball Edge Storage Optimized
  • 加密
  • 聚类
  • 边缘计算
定价模式

按作业 + 设备使用天数 + 数据传输付费

按作业 + 运输 + 现场停留天数付费
免费套餐

否

否
专家点评

“Snow Family 设备（Snowcone、Snowball、Snowmobile）可在网络传输不可行时，以物理方式移动 PB 级数据‌。边缘模型在断开连接的环境中运行 EC2 和 Lambda。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]

“当网络传输需要数周时，Snowball 以物理方式传输 PB 级数据。边缘计算模型在断开连接的环境中本地运行 EC2 和 Lambda，以进行数据处理。”
— Giovanni Lauria，re:Post 顶级贡献者 [个人资料]
产品页面

详细了解 AWS Snow 系列 »

了解有关 AWS Snowball 的更多信息 »

何时使用 AWS Snow Family 或 AWS Snowball

在以下情况下使用 AWS Snow Family：

  • 边缘计算
  • 数据迁移
  • 战术边缘
  • 断开连接的环境

详细了解 AWS Snow 系列 »

在以下情况下使用 AWS Snowball：

  • 大规模数据迁移
  • 灾难恢复
  • 数据中心停用
  • 内容分配

了解有关 AWS Snowball 的更多信息 »

AWS product comparisons

Read about AWS products side-by-side

显示 1 - 8 (21)
2026-07-30

What's the difference between Amazon Aurora and Amazon Neptune?

Both are purpose-built, fully managed AWS databases, but they solve fundamentally different problems. Aurora handles structured relational data with SQL; Neptune handles highly connected data where relationships between entities are the primary query pattern.
Learn more
2026-07-30

What's the difference between Amazon RDS and Amazon Redshift?

Both run SQL queries, but they're optimized for fundamentally different workloads. RDS handles transactional operations (inserts, updates, lookups) for your application. Redshift handles analytical queries (aggregations, scans, joins across billions of rows) for your data team.
Learn more
2026-07-30

What's the difference between Amazon Aurora and Amazon DynamoDB?

Both are fully managed AWS database services, but they serve fundamentally different data models and access patterns. Aurora is a relational database for structured data with relationships; DynamoDB is a NoSQL key-value store built for single-digit millisecond performance at any scale.
Learn more
2026-07-30

What's the difference between Amazon DocumentDB and Amazon Neptune?

Both handle semi-structured data, but they're optimized for different query patterns. DocumentDB stores and queries JSON documents; Neptune stores and traverses relationships between entities.
Learn more
2026-07-30

What are the differences between Amazon DynamoDB and Amazon DocumentDB?

Both are fully managed NoSQL databases on AWS, but they serve different data models. DynamoDB is a key-value store optimized for known access patterns at massive scale; DocumentDB is a document database for flexible JSON schemas with MongoDB compatibility.
Learn more
2026-07-30

What's the difference between Amazon DynamoDB and Amazon Keyspaces?

Both are fully managed, serverless-capable NoSQL databases on AWS. DynamoDB is AWS-native with its own API and data model; Keyspaces is Apache Cassandra-compatible, letting you use existing Cassandra drivers, tools, and expertise.
Learn more
2026-07-30

What's the difference between Amazon ElastiCache and Amazon MemoryDB?

Both are Redis-compatible, fully managed in-memory services on AWS. ElastiCache is designed as a caching layer in front of another database; MemoryDB is designed as a primary database that combines in-memory speed with Multi-AZ durability.
Learn more
2026-07-30

What's the difference between Amazon Aurora and Amazon RDS?

Both are fully managed relational database services on AWS, but Aurora is a cloud-native engine built for higher performance and availability, while RDS gives you familiar open-source and commercial engines with less operational overhead than self-managed.
Learn more

Did you find what you were looking for today?

Let us know so we can improve the quality of the content on our pages