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. Google Cloud Storage vs Portworx

Google Cloud Storage vs Portworx

OverviewDecisionsComparisonAlternatives

Overview

Google Cloud Storage
Google Cloud Storage
Stacks2.0K
Followers1.2K
Votes75
Portworx
Portworx
Stacks21
Followers58
Votes0
GitHub Stars271
Forks84

Google Cloud Storage vs Portworx: What are the differences?

## Key Differences between Google Cloud Storage and Portworx

Google Cloud Storage is a scalable, fully-managed object storage service while Portworx is a container data management platform designed for enterprises.

1. **Deployment**: Google Cloud Storage is deployed on Google's infrastructure and does not require managing any underlying hardware. In contrast, Portworx needs to be deployed within Kubernetes clusters and requires more management and configuration.
   
2. **Features**: Google Cloud Storage primarily focuses on storing and retrieving data, whereas Portworx offers a wider range of features including data protection, disaster recovery, encryption, and data mobility.

3. **Integration**: Google Cloud Storage integrates seamlessly with other Google Cloud services like BigQuery, Dataflow, and ML Engine. On the other hand, Portworx integrates tightly with Kubernetes and provides storage and data management functionalities specifically for containerized applications.

4. **Scalability**: Google Cloud Storage is highly scalable and can handle massive amounts of data storage efficiently. While Portworx also offers scalability, it is more tailored towards scaling data management within Kubernetes environments.
   
5. **Cost**: Google Cloud Storage follows a pay-as-you-go pricing model based on usage, storage class, and network egress. Portworx, being a software license-based product, has different pricing tiers based on features and support levels.

6. **Use Cases**: Google Cloud Storage is ideal for storing objects, files, backups, and media content in a cloud-native manner, whereas Portworx is better suited for providing persistent storage solutions for stateful applications running in containers, especially in enterprise environments.

In Summary, Google Cloud Storage is a managed object storage service with seamless integration into Google Cloud services, while Portworx is a container data management platform tailored for Kubernetes environments.

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

Advice on Google Cloud Storage, Portworx

Gabriel
Gabriel

CEO at NaoLogic Inc

Dec 24, 2019

Decided

We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.

That's why we switched to S3 that just works.

330k views330k
Comments
Ben
Ben

May 18, 2020

Decided

We choose Backblaze B2 because it makes more sense for storing static assets.

We admire Backblaze's customer service & transparency, plus, we trust them to maintain fair business practices - including not raising prices in the future.

Lower storage costs means we can keep more data for longer, and lower bandwidth means cache misses don't cost a ton.

120k views120k
Comments

Detailed Comparison

Google Cloud Storage
Google Cloud Storage
Portworx
Portworx

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.

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.

High Capacity and Scalability;Strong Data Consistency;Google Developers Console Projects;Bucket Locations;REST APIS;OAuth 2.0 Authentication;Authenticated Browser Downloads;Google Account Support for Sharing
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
2.0K
Stacks
21
Followers
1.2K
Followers
58
Votes
75
Votes
0
Pros & Cons
Pros
  • 28
    Scalable
  • 19
    Cheap
  • 14
    Reliable
  • 9
    Easy
  • 3
    Chealp
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 Google Cloud 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.

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