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. Cloud Storage
  5. Amazon EBS vs Portworx

Amazon EBS vs Portworx

OverviewComparisonAlternatives

Overview

Amazon EBS
Amazon EBS
Stacks650
Followers542
Votes82
Portworx
Portworx
Stacks21
Followers58
Votes0
GitHub Stars271
Forks84

Amazon EBS vs Portworx: What are the differences?

Introduction

In this article, we will explore the key differences between Amazon Elastic Block Store (EBS) and Portworx, two popular storage solutions. EBS is a block-level storage service provided by Amazon Web Services (AWS), while Portworx is a container-native storage and data management platform.

  1. Scalability and Availability: One of the key differences between Amazon EBS and Portworx is the scalability and availability. With EBS, you can easily scale up or down your storage volumes based on your needs. EBS ensures high availability by replicating data within the availability zone. On the other hand, Portworx offers even higher levels of scalability and availability. It allows you to scale across multiple nodes and availability zones, providing a distributed storage architecture with data replication and redundancy at a granular level.

  2. Integration with Container Orchestration Tools: Another significant difference is the integration with container orchestration tools. Amazon EBS seamlessly integrates with AWS Elastic Kubernetes Service (EKS), allowing you to provision and attach EBS volumes to your Kubernetes pods. Portworx is purpose-built for containers and provides native integration with container orchestration platforms like Kubernetes, Docker Swarm, and Mesos. It offers advanced storage features and container-specific data management capabilities like snapshots, snapshots scheduling, backup, and restore.

  3. Data Management and Orchestration: When it comes to data management and orchestration, Portworx offers a more comprehensive set of features compared to Amazon EBS. Portworx allows you to create and manage application-aware storage policies using custom labels, ensuring data placement, replication, and failover based on application requirements. It also provides advanced data protection features like volume snapshots, backup, migration, and disaster recovery. While EBS provides basic snapshot and replication features, it does not offer the same level of data management and orchestration capabilities as Portworx.

  4. Multi-Cloud Support: Portworx supports multi-cloud environments, allowing you to use the same storage platform across different cloud providers like AWS, Microsoft Azure, Google Cloud Platform, and more. This flexibility enables you to avoid vendor lock-in and facilitates easy migration and portability of container-based applications across different cloud environments. On the other hand, Amazon EBS is tightly integrated with AWS, and its features are specifically designed for the AWS ecosystem.

  5. Dynamic Provisioning and Auto-scaling: Portworx supports dynamic provisioning and auto-scaling of storage resources based on application demands. It automatically adjusts the storage capacity and performance to match the workload requirements, ensuring optimal resource utilization and cost efficiency. While EBS offers some level of volume resizing and performance tuning, it does not have the same level of dynamic provisioning and auto-scaling capabilities as Portworx.

  6. Data Encryption and Security: Both Amazon EBS and Portworx provide data encryption and security features. EBS encrypts the data at rest using AWS Key Management Service (KMS) and supports both AWS managed keys and customer-managed keys. Portworx also offers data encryption at rest and transit, employing industry-standard encryption algorithms. It integrates with external key management systems to ensure secure key storage and management.

In summary, Amazon EBS and Portworx differ in terms of scalability, availability, integration with container orchestration tools, data management and orchestration capabilities, multi-cloud support, dynamic provisioning and auto-scaling, and data encryption and security. Portworx offers advanced features and flexibility specifically designed for container-based environments, whereas EBS provides basic storage services within the AWS ecosystem.

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 EBS
Amazon EBS
Portworx
Portworx

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments.

Amazon EBS allows you to create storage volumes from 1 GB to 1 TB that can be mounted as devices by Amazon EC2 instances. Multiple volumes can be mounted to the same instance.;Amazon EBS enables you to provision a specific level of I/O performance if desired, by choosing a Provisioned IOPS volume. This allows you to predictably scale to thousands of IOPS per Amazon EC2 instance.;Storage volumes behave like raw, unformatted block devices, with user supplied device names and a block device interface. You can create a file system on top of Amazon EBS volumes, or use them in any other way you would use a block device (like a hard drive).;Amazon EBS volumes are placed in a specific Availability Zone, and can then be attached to instances also in that same Availability Zone.;Each storage volume is automatically replicated within the same Availability Zone. This prevents data loss due to failure of any single hardware component.;Amazon EBS also provides the ability to create point-in-time snapshots of volumes, which are persisted to Amazon S3. These snapshots can be used as the starting point for new Amazon EBS volumes, and protect data for long-term durability. The same snapshot can be used to instantiate as many volumes as you wish. These snapshots can be copied across AWS regions, making it easier to leverage multiple AWS regions for geographical expansion, data center migration and disaster recovery.;AWS also enables you to create new volumes from AWS hosted public data sets.;Amazon CloudWatch exposes performance metrics for EBS volumes, giving you insight into bandwidth, throughput, latency, and queue depth. The metrics are accessible via the AWS CloudWatch API or the AWS Management Console. For more details, see Amazon CloudWatch.
Data Mobility; Backup, recovery, migration made easy; High Availability; Scheduler-based Automation; Data Security; Anything, Anywhere.
Statistics
GitHub Stars
-
GitHub Stars
271
GitHub Forks
-
GitHub Forks
84
Stacks
650
Stacks
21
Followers
542
Followers
58
Votes
82
Votes
0
Pros & Cons
Pros
  • 36
    Point-in-time snapshots
  • 27
    Data reliability
  • 19
    Configurable i/o performance
No community feedback yet
Integrations
No integrations available
Kubernetes
Kubernetes
Docker
Docker
Nomad
Nomad
Microsoft Azure
Microsoft Azure
Google Cloud Platform
Google Cloud Platform
Mesosphere
Mesosphere
IBM DB2
IBM DB2

What are some alternatives to Amazon EBS, Portworx?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

Azure Storage

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase