跳至主要内容

Amazon FSx 和适用于 OpenZFS 的 Amazon FSx 有什么区别？

并排比较 Amazon FSx 和适用于 OpenZFS 的 Amazon FSx — 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
Amazon FSx
适用于 OpenZFS 的 Amazon FSx
类别

存储、文件存储

存储、文件存储
说明

完全托管式文件存储基于常用的文件系统（Windows File Server、Lustre、NetApp ONTAP 和 OpenZFS）构建。

适用于 NAS 工作负载的完全托管的弹性横向扩展文件系统
最适用于
  • Windows 文件共享
  • HPC 工作负载
  • 机器学习
  • EDA
  • 媒体处理
  • Linux 工作负载
  • Web 服务
  • DevOps
  • 数据分析
  • 媒体处理
主要功能
  • 多种文件系统类型
  • Active Directory 集成
  • 高吞吐量
  • 数据去重复
  • 多可用区
  • NFS 协议
  • 快照
  • 数据压缩
  • 低延迟
  • 时间点克隆
定价模式

按预置的每 GB 存储容量 + 吞吐量付费

按预置的每 GB 存储容量 + 吞吐量付费
免费套餐

否

否
专家点评

“FSx for Lustre 为 HPC 和机器学习训练工作负载提供数百 GB/s 的吞吐量。当工作负载需要 SMB 协议和 Active Directory 集成时，FSx for Windows 是正确的选择。选择符合您的协议和性能需求的文件系统类型。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]

“适用于 OpenZFS 的 Amazon FSx 通过即时快照、压缩和数据克隆提供高性能文件存储。它支持从本地 ZFS 环境迁移的工作负载。”
— Giovanni Lauria，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 Amazon FSx 的更多信息 »

了解有关适用于 OpenZFS 的 Amazon FSx 的更多信息 »

何时使用 Amazon FSx 或适用于 OpenZFS 的 Amazon FSx

在以下情况下使用 Amazon FSx：

  • Windows 文件共享
  • HPC 工作负载
  • 机器学习
  • EDA
  • 媒体处理

了解有关 Amazon FSx 的更多信息 »

在以下情况下使用适用于 OpenZFS 的 Amazon FSx：

  • Linux 工作负载
  • Web 服务
  • DevOps
  • 数据分析
  • 媒体处理

了解有关适用于 OpenZFS 的 Amazon FSx 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