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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Azure Storage vs Portworx

Azure Storage vs Portworx

OverviewComparisonAlternatives

Overview

Azure Storage
Azure Storage
Stacks1.3K
Followers787
Votes52
Portworx
Portworx
Stacks21
Followers58
Votes0
GitHub Stars271
Forks84

Azure Storage vs Portworx: What are the differences?

Introduction:

Azure Storage and Portworx are both popular storage solutions, but they have significant differences that set them apart. Understanding these differences is crucial in choosing the right solution for your specific needs.

  1. Deployment and Infrastructure: Azure Storage is a cloud-based storage service that provides a highly scalable and durable storage infrastructure for cloud applications. It is built on the Azure platform, which offers global availability and redundancy. On the other hand, Portworx is a software-defined storage solution that enables containerized applications to run on any infrastructure, including on-premises, public cloud, or hybrid cloud environments. It allows for seamless data mobility across different infrastructures.

  2. Compatibility with Containers: Azure Storage offers container-specific features like Azure Blob Storage, Azure Files, and Azure Queue Storage, which are commonly used with containerized applications. It provides native integration with Azure Kubernetes Service (AKS) and other container orchestrators. Portworx, on the other hand, is specifically designed for containerized applications and provides advanced storage capabilities like data encryption, snapshots, and data management that are tailored for container environments. It seamlessly integrates with container orchestrators like Kubernetes.

  3. Data Persistence and Mobility: Azure Storage provides highly available and durable storage for persistent data. It supports various data access patterns and provides redundancy options for data protection. However, data mobility across different infrastructures can be challenging. Portworx, on the other hand, enables data persistence and mobility across different infrastructures, making it easier to move applications and data between on-premises and cloud environments. This flexibility is crucial for hybrid and multi-cloud deployments.

  4. Data Management and Orchestration: Azure Storage offers scalable and durable storage services, but it lacks advanced data management capabilities for containerized applications. Portworx provides enterprise-class data management capabilities like volume cloning, backup and restore, dynamic provisioning, and data encryption. It also offers advanced data placement and migration features that optimize data placement based on performance and capacity requirements.

  5. Performance and Scalability: Azure Storage provides scalable and reliable storage that can handle large amounts of data and high workload demands. However, the performance and scalability of Azure Storage can be limited by factors like network latency and storage throughput. Portworx, on the other hand, is designed for high-performance and scalable container environments. It provides features like data striping, replication, and caching that optimize storage performance and scalability for containerized applications.

  6. Cost and Pricing Model: Azure Storage offers flexible pricing options based on the amount of storage used, data transfers, and other factors. It provides a pay-as-you-go model, allowing users to pay for only what they use. Portworx, on the other hand, offers pricing based on the number of nodes or instances running Portworx, which may require additional licensing costs. The pricing model of Portworx may be more suitable for larger deployments or enterprises with specific storage requirements.

In Summary, Azure Storage is a cloud-based storage service that offers scalability, durability, and integration with the Azure platform, while Portworx is a software-defined storage solution specifically designed for containerized applications, offering advanced data management, mobility, and performance capabilities. The choice between Azure Storage and Portworx depends on factors like deployment infrastructure, container compatibility, data management requirements, performance needs, and cost considerations.

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Detailed Comparison

Azure Storage
Azure Storage
Portworx
Portworx

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.

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.

Blobs, Tables, Queues, and Files;Highly scalable;Durable & highly available;Premium Storage;Designed for developers
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
1.3K
Stacks
21
Followers
787
Followers
58
Votes
52
Votes
0
Pros & Cons
Pros
  • 24
    All-in-one storage solution
  • 15
    Pay only for data used regardless of disk size
  • 9
    Shared drive mapping
  • 2
    Cost-effective
  • 2
    Cheapest hot and cloud storage
Cons
  • 2
    Direct support is not provided by Azure storage
No community feedback yet
Integrations
Microsoft Azure
Microsoft Azure
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 Azure Storage, 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.

Amazon EBS

Amazon EBS

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.

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.

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.

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