Compare Huawei Elastic Cloud Server (ECS) vs. Xtendlabs

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within 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 for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

OpManager is the ideal end-to-end network monitoring tool for your organization's network. With OpManager, you can keep a close eye on health, performance, and availability levels of all network devices. This includes monitoring switches, routers, LANs, WLCs, IP addresses and firewalls. Insights into your hardware health and performance; monitor CPU, memory, temperature, disk usage, and more to improve efficiency. Seamlessly manage faults and alerts with instant notifications and detailed logs. Streamlined workflows facilitate easy set-up to execute quick diagnosis and corrective measures. The solution also comes with powerful visualization tools such as business views, 3d data center views, topology maps, heat maps, and customizable dashboards. Get proactive in capacity planning and decision-making with over 250 predefined reports covering all important metrics and areas in your network. Overall, OpManager's detailed management capabilities make it the ideal solution for IT administrators to achieve network resiliency and efficiency.

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Convesio gives commerce businesses the edge they need to grow faster — combining ultra-reliable WordPress hosting with seamless, built-in payment processing. At the heart of it all is ConvesioPay, a powerful payments platform that integrates directly with your hosting stack. No clunky plugins. No middlemen. Just faster, more secure transactions that help you convert and scale without friction. With auto-scaling containers, PCI-compliant infrastructure, and real-time revenue insights, Convesio removes the bottlenecks that slow down online stores. It’s performance, payments, and peace of mind — all in one place. Highlights: Integrated payments through ConvesioPay Built for WooCommerce and high-traffic stores Enterprise-grade uptime and scalability Security-first, PCI-compliant environment Real-time performance and revenue visibility

Cloud solution to manage retail spaces, product categories and planograms. Smart automatic generation of planograms based on sales is possible. This allows for the maintenance of planograms in a current state even in large sales networks with many stores. Quant is a complete solution for Space Planning and Category Management, planograms and ranging, shelf labels and POS printing, communication and in-store marketing. Quant Cloud offers all the benefits of cloud computing. You can work remotely on the same projects with your colleagues around the globe and access the same database from different computers. There is no need to create complex infrastructures or overload your IT department. Our consultants are always available to assist you. We train your users, and assist with data integration so Quant can go live in less than 12 week.

Designed by developers for developers, 3Q is an API-first video infrastructure platform that eliminates unnecessary marketing and gives you direct control over your media backend. Whether you're developing video portals, streaming apps or custom OTT solutions, 3Q provides the programmable backbone you need. Our comprehensive REST API and native SDKs let you automate workflows, from ingestion and transcoding to AI-driven metadata extraction (speech-to-text conversion and automated chapter creation) and deployment. The 3Q HTML5 player is barrier-free and fully customisable, operating entirely without cookie consent requirements. We natively support mixed codec streaming (HEVC + AVC) in both HLS and DASH, dynamically falling back based on client capabilities. Hosted entirely on our own European bare-metal servers, 3Q helps you to avoid US vendor lock-in and privacy issues, providing a scalable, programmable video pipeline that integrates seamlessly into your existing CI/CD environments.