Docker vs. LXC vs. Mendix Comparison Chart

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

QVscribe, QRA's flagship product, unifies stakeholders by ensuring clear, concise artifacts. It automatically evaluates requirements, identifies risks, and guides engineers to address them. QVscribe simplifies artifact management by eliminating errors and verifying compliance with quality and industry standards. QVscribe Features: Glossary Integration: QVscribe now adds a fourth dimension by ensuring consistency across teams using different authoring tools. Term definitions appear alongside Quality Alerts, Warnings, and EARS Conformance checks within the project context. Customizable Configurations: Tailor QVscribe to meet specific verification needs for requirements, including business and system documents. This flexibility helps identify issues early before estimates or development progress. Integrated Guidance: QVscribe offers real-time recommendations during the editing process, helping authors effortlessly correct problem requirements and improve their quality.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm uses our high-performance streaming and secure isolation technology to provide web-native Desktop as a Service (DaaS), application streaming, and secure/private web browsing. Kasm is not just a service; it is a highly configurable platform with a robust developer API and devops-enabled workflows that can be customized for your use-case, at any scale. Workspaces can be deployed in the cloud (Public or Private), on-premise (Including Air-Gapped Networks or your Homelab), or in a hybrid configuration.

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments.

JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over