Easy to use, high performance block storage at any scale

Benefits of Amazon EBS

Scale fast

Scale fast for your most demanding, high-performance workloads, including mission-critical applications such as SAP, Oracle, and Microsoft products.

High performance

Protect against failures with high availability, including replication within Availability Zone (AZs), and 99.999% durability with io2 Block Express volumes.

Optimize storage and cost

Select the storage that best fits your workload. Volumes range from cost-effective dollar-per-GB to high performance with the fastest IOPS and throughput.

Secure

Encrypt your block storage resources without needing to build, maintain, and secure your own key management infrastructure. Prevent unauthorized access to your data by restricting public access and configuring locks on data backups.

Simple data protection

Protect block storage data in the cloud, as well as on-premises block data using Amazon EBS Snapshots – a point-in-time copy that can be used to enable disaster recovery, migrate data across regions and accounts, and improve backup compliance. AWS further simplifies the lifecycle management of your snapshots through integration with Amazon Data Lifecycle Manager, which allows you to create policies so that you can automate multiple tasks including creation, deletion, retention, and sharing of snapshots.

How it works

Amazon Elastic Block Store (Amazon EBS) is an easy-to-use, scalable, high-performance block-storage service designed for Amazon Elastic Compute Cloud (Amazon EC2).

Use cases

Build your mission-critical, I/O intensive applications in the cloud

Migrate mid-range, on-premises storage area network (SAN) workloads to the cloud. Attach high-performance and high-availability block storage for mission-critical applications.

Run relational or NoSQL databases

Deploy and scale your choice of databases, including SAP HANA, Oracle, Microsoft SQL Server, PostgreSQL, MySQL, Cassandra, and MongoDB.

Right-size your big data analytics engines

Easily resize clusters for big data analytics engines, such as Hadoop and Spark, and freely detach and reattach volumes.