Software Alternatives, Accelerators & Startups

Salesforce Platform VS Google Kubernetes Engine

Compare Salesforce Platform VS Google Kubernetes Engine and see what are their differences

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Google Kubernetes Engine logo Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05

Salesforce Platform features and specs

  • Customization
    Salesforce Platform offers extensive customization options that allow businesses to tailor the platform to suit their specific needs. From custom objects and fields to custom workflows and processes, users have a high level of control over their environment.
  • Integration
    The platform supports integration with a wide range of third-party applications and services through APIs. This flexibility ensures that businesses can create a seamless workflow across different software systems.
  • Scalability
    Salesforce Platform is highly scalable, making it suitable for businesses of all sizes. As a cloud-based solution, it can easily handle growth in terms of users, data volume, and functionality without significant downtime or degradation in performance.
  • Mobile Accessibility
    With Salesforce Mobile App, users have access to their data and applications from anywhere, enhancing productivity and ensuring that critical tasks can be completed while on the go.
  • Security
    Salesforce Platform offers robust security features, including data encryption, regular security updates, and compliance with various industry standards and regulations, providing peace of mind for businesses concerned about data protection.
  • Community and Support
    Salesforce has a vast community of users, developers, and experts, along with extensive documentation and support resources. This community can be invaluable for troubleshooting, best practices, and ongoing learning.

Possible disadvantages of Salesforce Platform

  • Cost
    Salesforce Platform can be expensive, particularly for small and medium-sized businesses. The costs can quickly add up with additional features, customizations, and third-party integrations.
  • Complexity
    While the customization options are a significant benefit, they can also add complexity, especially for users without technical expertise. This can lead to a steep learning curve and may require additional training or hiring specialized personnel.
  • Performance
    While generally reliable, the platform can experience performance issues, particularly during peak usage times or with complex customizations. This can potentially affect the efficiency and response times for users.
  • Dependency on Internet
    As a cloud-based solution, Salesforce Platform requires a stable internet connection to be fully functional. This dependency can be a drawback in areas with unreliable internet service.
  • Customization Limits
    Despite its flexibility, there are still limits to what can be customized within Salesforce. In some cases, achieving certain functionalities may require complex workarounds or may not be possible at all within the provided framework.
  • Data Migration
    Migrating data to and from Salesforce can be challenging, particularly for large datasets or complex data structures. This process often requires careful planning and execution to avoid data loss or integrity issues.

Google Kubernetes Engine features and specs

  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages of Google Kubernetes Engine

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.

Salesforce Platform videos

Salesforce Platform Overview (1)

Google Kubernetes Engine videos

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos:

  • Review - Optimize cost to performance on Google Kubernetes Engine
  • Tutorial - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

Category Popularity

0-100% (relative to Salesforce Platform and Google Kubernetes Engine)
Cloud Computing
58 58%
42% 42
Developer Tools
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Backend As A Service
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Salesforce Platform and Google Kubernetes Engine

Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.

Google Kubernetes Engine Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Google Kubernetes Engine is a CaaS (container as a service) platform that lets you easily create, resize, manage, update, upgrade, and debug container clusters. Google Kubernetes Engine, aka GKE, was the first managed Kubernetes service, and therefore, it is highly regarded in the industry.
Top 10 Best Container Software in 2022
If you need a speedy creation of developer environments, working on micro services-based architecture and if you want to deploy production grade clusters then Docker and Google Kubernetes Engine would be the most suitable tools. They are very well suited for DevOps team.
7 Best Containerization Software Solutions of 2022
If you’re looking for a managed solution to help you deploy and scale containerized apps on your virtual machines quickly, Google Kubernetes Engine is a great choice.
Source: techgumb.com

Social recommendations and mentions

Based on our record, Google Kubernetes Engine seems to be more popular. It has been mentiond 49 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Salesforce Platform mentions (0)

We have not tracked any mentions of Salesforce Platform yet. Tracking of Salesforce Platform recommendations started around Sep 2021.

Google Kubernetes Engine mentions (49)

  • Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI
    Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 2 months ago
  • Deploy Gemini-powered LangChain applications on GKE
    In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 4 months ago
  • Securing Applications Using Keycloak's Helm Chart
    Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
  • Simplify development of AI-powered applications with LangChain
    In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 8 months ago
  • 26 Top Kubernetes Tools
    Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
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What are some alternatives?

When comparing Salesforce Platform and Google Kubernetes Engine, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

Google Cloud Functions - A serverless platform for building event-based microservices.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.