# Top 10 AWS Auto Scaling Alternatives & Competitors **Average Rating:** 4.5/5 **Total Number of Reviews:** 257 The Auto Scaling Software solutions below are the most common alternatives that users and reviewers compare with AWS Auto Scaling. Other important factors to consider when researching alternatives to AWS Auto Scaling include configuration. The best overall AWS Auto Scaling alternative is Google Compute Engine. Other similar apps like AWS Auto Scaling are Cast AI, ScaleOps, Pepperdata Capacity Optimizer, and Xosphere Instance Orchestrator. AWS Auto Scaling alternatives can be found in [Auto Scaling Software](https://www.g2.com/categories/auto-scaling) but may also be in [Cloud Cost Management Tools](https://www.g2.com/categories/cloud-cost-management) or [Load Balancing Software](https://www.g2.com/categories/load-balancing). ## Best Paid & Free Alternatives to AWS Auto Scaling - [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) - [Cast AI](https://www.g2.com/products/cast-ai/reviews) - [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews) - [Pepperdata Capacity Optimizer](https://www.g2.com/products/pepperdata-capacity-optimizer/reviews) - [Xosphere Instance Orchestrator](https://www.g2.com/products/xosphere-instance-orchestrator/reviews) - [UbiOps](https://www.g2.com/products/ubiops/reviews) - [Real-Time Technology Solutions](https://www.g2.com/products/real-time-technology-solutions/reviews) - [Sedai](https://www.g2.com/products/sedai/reviews) - [Thoras AI](https://www.g2.com/products/thoras-ai/reviews) - [Alibaba Auto Scaling](https://www.g2.com/products/alibaba-auto-scaling/reviews) ## Top 10 Alternatives to AWS Auto Scaling Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how AWS Auto Scaling stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Banking, and Insurance, and find the best product for your business. ### 1. [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 952 Compute Engine enables you to create and run large-scale workloads on virtual machines hosted on Google Cloud. Get running quickly with pre-built and ready-to-go configurations or create machines of your own with the optimal amount of vCPU and memory required for your workload. Reviewers say compared to AWS Auto Scaling, Google Compute Engine is: - More expensive - Easier to set up Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Google Compute Engine](https://www.g2.com/compare/aws-auto-scaling-vs-google-compute-engine) **Compare Google Compute Engine with other alternatives:** - [Google Compute Engine vs Cast AI](https://www.g2.com/compare/cast-ai-vs-google-compute-engine) - [Google Compute Engine vs ScaleOps](https://www.g2.com/compare/google-compute-engine-vs-scaleops-cloud-native-optimization-scaleops) - [Google Compute Engine vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/google-compute-engine-vs-pepperdata-capacity-optimizer) - [Google Compute Engine vs Xosphere Instance Orchestrator](https://www.g2.com/compare/google-compute-engine-vs-xosphere-instance-orchestrator) - [Google Compute Engine vs UbiOps](https://www.g2.com/compare/google-compute-engine-vs-ubiops) - [Google Compute Engine vs Real-Time Technology Solutions](https://www.g2.com/compare/google-compute-engine-vs-real-time-technology-solutions) - [Google Compute Engine vs Sedai](https://www.g2.com/compare/google-compute-engine-vs-sedai) - [Google Compute Engine vs Thoras AI](https://www.g2.com/compare/google-compute-engine-vs-thoras-ai) - [Google Compute Engine vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-google-compute-engine) ### 2. [Cast AI](https://www.g2.com/products/cast-ai/reviews) By Cast AI **Average Rating:** 4.6/5 **Total Reviews:** 192 Multiple clouds. One cluster. All the benefits combined. Cast AI allows you to combine the benefits from multiple cloud providers in any way you want. Start with one or multiple clouds and Cast AI will create one cluster spanning them all. With auto-scaling, key metrics dashboard and management in vanilla Kubernetes out of the box. Reviewers say compared to AWS Auto Scaling, Cast AI is: - Better at support - Easier to do business with - More usable Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Cast AI](https://www.g2.com/compare/aws-auto-scaling-vs-cast-ai) **Compare Cast AI with other alternatives:** - [Cast AI vs Google Compute Engine](https://www.g2.com/compare/cast-ai-vs-google-compute-engine) - [Cast AI vs ScaleOps](https://www.g2.com/compare/cast-ai-vs-scaleops-cloud-native-optimization-scaleops) - [Cast AI vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/cast-ai-vs-pepperdata-capacity-optimizer) - [Cast AI vs Xosphere Instance Orchestrator](https://www.g2.com/compare/cast-ai-vs-xosphere-instance-orchestrator) - [Cast AI vs UbiOps](https://www.g2.com/compare/cast-ai-vs-ubiops) - [Cast AI vs Real-Time Technology Solutions](https://www.g2.com/compare/cast-ai-vs-real-time-technology-solutions) - [Cast AI vs Sedai](https://www.g2.com/compare/cast-ai-vs-sedai) - [Cast AI vs Thoras AI](https://www.g2.com/compare/cast-ai-vs-thoras-ai) - [Cast AI vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-cast-ai) ### 3. [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews) By ScaleOps - Cloud-Native Optimization **Average Rating:** 4.6/5 **Total Reviews:** 96 Reduce K8s costs by up to 80%. Ensure workloads SLA. Free engineers from repeated manual configurations. ScaleOps is the industry-first Kubernetes Optimization Platform that automatically adjusts Compute Resources to changes in real-time, streamlining a new Kubernetes experience for engineering teams. Reviewers say compared to AWS Auto Scaling, ScaleOps is: - Better at support - Easier to do business with - Easier to set up Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs ScaleOps](https://www.g2.com/compare/aws-auto-scaling-vs-scaleops-cloud-native-optimization-scaleops) **Compare ScaleOps with other alternatives:** - [ScaleOps vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-scaleops-cloud-native-optimization-scaleops) - [ScaleOps vs Cast AI](https://www.g2.com/compare/cast-ai-vs-scaleops-cloud-native-optimization-scaleops) - [ScaleOps vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-scaleops-cloud-native-optimization-scaleops) - [ScaleOps vs Xosphere Instance Orchestrator](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-xosphere-instance-orchestrator) - [ScaleOps vs UbiOps](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-ubiops) - [ScaleOps vs Real-Time Technology Solutions](https://www.g2.com/compare/real-time-technology-solutions-vs-scaleops-cloud-native-optimization-scaleops) - [ScaleOps vs Sedai](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-sedai) - [ScaleOps vs Thoras AI](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-thoras-ai) - [ScaleOps vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-scaleops-cloud-native-optimization-scaleops) ### 4. [Pepperdata Capacity Optimizer](https://www.g2.com/products/pepperdata-capacity-optimizer/reviews) By Pepperdata **Average Rating:** 4.6/5 **Total Reviews:** 39 Pepperdata automatically optimizes system resources while providing a detailed, correlated understanding of each application using hundreds of application and infrastructure metrics collected in real-time. It highlights applications that need attention, automatically identifies bottlenecks, and alerts on duration, failure conditions, and resource usage. In the cloud or on-premises, this automated approach gives you complete observability and insight into your big data stack Reviewers say compared to AWS Auto Scaling, Pepperdata Capacity Optimizer is: - Slower to reach roi - More expensive - Better at support Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/aws-auto-scaling-vs-pepperdata-capacity-optimizer) **Compare Pepperdata Capacity Optimizer with other alternatives:** - [Pepperdata Capacity Optimizer vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-pepperdata-capacity-optimizer) - [Pepperdata Capacity Optimizer vs Cast AI](https://www.g2.com/compare/cast-ai-vs-pepperdata-capacity-optimizer) - [Pepperdata Capacity Optimizer vs ScaleOps](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-scaleops-cloud-native-optimization-scaleops) - [Pepperdata Capacity Optimizer vs Xosphere Instance Orchestrator](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-xosphere-instance-orchestrator) - [Pepperdata Capacity Optimizer vs UbiOps](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-ubiops) - [Pepperdata Capacity Optimizer vs Real-Time Technology Solutions](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-real-time-technology-solutions) - [Pepperdata Capacity Optimizer vs Sedai](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-sedai) - [Pepperdata Capacity Optimizer vs Thoras AI](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-thoras-ai) - [Pepperdata Capacity Optimizer vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-pepperdata-capacity-optimizer) ### 5. [Xosphere Instance Orchestrator](https://www.g2.com/products/xosphere-instance-orchestrator/reviews) By Xosphere **Average Rating:** 5.0/5 **Total Reviews:** 17 Xosphere's super power is reducing AWS EC2 expense by up to 80%. Xosphere is the world's only intelligent cloud orchestration company empowering enterprises to seamlessly move applications to the right place at the right time to reduce cloud expense and increase reliability. Xosphere's intelligent cloud software transforms unreliable Spot instances into robust resources that have the same reliability as On-Demand but at a fraction of the cost, yielding unparalleled savings. For enterprises that want to reduce cloud costs, Xosphere's optimization engine maximizes savings with the fastest speed of implementation in the industry. Xosphere Instance Orchestrator is a cloud-native, self-hosted subscription software application. It installs into your Amazon Web Services (AWS) account using either a CloudFormation stack or a Terraform module and runs using Lambda functions. Instance Orchestrator uses an opt-in design; it only executes on Auto-Scaling groups or individual instances that have explicitly been enabled via an AWS tag. Tags can be applied using any method or tool that is used within the organization to manage tags (for example, AWS Console, AWS CLI, AWS APIs, infrastructure-as-code platforms such as CloudFormation or Terraform, cloud management platforms, etc.). Once this enabling tag has been applied, Instance Orchestrator will automatically perform its management duties on an ongoing basis. Reviewers say compared to AWS Auto Scaling, Xosphere Instance Orchestrator is: - Easier to set up - More usable - Easier to admin Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Xosphere Instance Orchestrator](https://www.g2.com/compare/aws-auto-scaling-vs-xosphere-instance-orchestrator) **Compare Xosphere Instance Orchestrator with other alternatives:** - [Xosphere Instance Orchestrator vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Cast AI](https://www.g2.com/compare/cast-ai-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs ScaleOps](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs UbiOps](https://www.g2.com/compare/ubiops-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Real-Time Technology Solutions](https://www.g2.com/compare/real-time-technology-solutions-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Sedai](https://www.g2.com/compare/sedai-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Thoras AI](https://www.g2.com/compare/thoras-ai-vs-xosphere-instance-orchestrator) - [Xosphere Instance Orchestrator vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-xosphere-instance-orchestrator) ### 6. [UbiOps](https://www.g2.com/products/ubiops/reviews) By UbiOps **Average Rating:** 4.7/5 **Total Reviews:** 5 UbiOps by Dutch Analytics is an all-in-one software platform that enables you to very quickly turn your algorithms into scalable, robust and secure end-to-end applications. This without requiring knowledge to set up Cloud infrastructure, micro-services, automated scaling, or DevOps practices. Save months of work as UbiOps takes care of a smooth transition from where data science ends to where IT starts. Easily deployed across public/private Cloud or On-Premise. Centrally managed and fully secured with data and code encryption. Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs UbiOps](https://www.g2.com/compare/aws-auto-scaling-vs-ubiops) **Compare UbiOps with other alternatives:** - [UbiOps vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-ubiops) - [UbiOps vs Cast AI](https://www.g2.com/compare/cast-ai-vs-ubiops) - [UbiOps vs ScaleOps](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-ubiops) - [UbiOps vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-ubiops) - [UbiOps vs Xosphere Instance Orchestrator](https://www.g2.com/compare/ubiops-vs-xosphere-instance-orchestrator) - [UbiOps vs Real-Time Technology Solutions](https://www.g2.com/compare/real-time-technology-solutions-vs-ubiops) - [UbiOps vs Sedai](https://www.g2.com/compare/sedai-vs-ubiops) - [UbiOps vs Thoras AI](https://www.g2.com/compare/thoras-ai-vs-ubiops) - [UbiOps vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-ubiops) ### 7. [Real-Time Technology Solutions](https://www.g2.com/products/real-time-technology-solutions/reviews) By Broadcom **Average Rating:** 4.8/5 **Total Reviews:** 9 Avi Networks enables public-cloud-like simplicity and flexibility for application services such as load balancing, application analytics, and security in any data center or cloud. Reviewers say compared to AWS Auto Scaling, Real-Time Technology Solutions is: - Easier to set up - More usable - Easier to do business with Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Real-Time Technology Solutions](https://www.g2.com/compare/aws-auto-scaling-vs-real-time-technology-solutions) **Compare Real-Time Technology Solutions with other alternatives:** - [Real-Time Technology Solutions vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-real-time-technology-solutions) - [Real-Time Technology Solutions vs Cast AI](https://www.g2.com/compare/cast-ai-vs-real-time-technology-solutions) - [Real-Time Technology Solutions vs ScaleOps](https://www.g2.com/compare/real-time-technology-solutions-vs-scaleops-cloud-native-optimization-scaleops) - [Real-Time Technology Solutions vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-real-time-technology-solutions) - [Real-Time Technology Solutions vs Xosphere Instance Orchestrator](https://www.g2.com/compare/real-time-technology-solutions-vs-xosphere-instance-orchestrator) - [Real-Time Technology Solutions vs UbiOps](https://www.g2.com/compare/real-time-technology-solutions-vs-ubiops) - [Real-Time Technology Solutions vs Sedai](https://www.g2.com/compare/real-time-technology-solutions-vs-sedai) - [Real-Time Technology Solutions vs Thoras AI](https://www.g2.com/compare/real-time-technology-solutions-vs-thoras-ai) - [Real-Time Technology Solutions vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-real-time-technology-solutions) ### 8. [Sedai](https://www.g2.com/products/sedai/reviews) By Sedai **Average Rating:** 4.5/5 **Total Reviews:** 4 Sedai incorporates key autonomous system characteristics in a cloud context. By leveraging a massive influx of data streams, Sedai builds a layer of intelligence via its core decision engine, which derives concepts from probability theory and applied machine learning techniques. Its self-learning and self-correcting model seamlessly manages cloud platforms with a focus on explainable decisions. Our products S.Watch Sedai connects with various monitoring tools, including Prometheus, Datadog, Cloudwatch, etc., and tracks four golden signals: Latency, Traffic, Errors, and Saturation. S-Watch distills noise to provide insights and recommendations to bring key KPIs such as MTTD, MTTF, MTBF, and MTTR to acceptable levels. S.Run Sedai distills data into an explainable and tunable knowledge base that powers its machine learning models. These models fuel Sedai’s core decision engine, which determines efficient and corrective workflows for all identified drifts to infer optimal strategies for detection and safe remediations. Its true closed-loop learning model enables self-configuration at optimal levels, ensuring the highest levels of availability. Armed with vast data, deep insights, and a rich knowledge base, platforms that are managed by Sedai are able to achieve a self-optimized state. Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Sedai](https://www.g2.com/compare/aws-auto-scaling-vs-sedai) **Compare Sedai with other alternatives:** - [Sedai vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-sedai) - [Sedai vs Cast AI](https://www.g2.com/compare/cast-ai-vs-sedai) - [Sedai vs ScaleOps](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-sedai) - [Sedai vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-sedai) - [Sedai vs Xosphere Instance Orchestrator](https://www.g2.com/compare/sedai-vs-xosphere-instance-orchestrator) - [Sedai vs UbiOps](https://www.g2.com/compare/sedai-vs-ubiops) - [Sedai vs Real-Time Technology Solutions](https://www.g2.com/compare/real-time-technology-solutions-vs-sedai) - [Sedai vs Thoras AI](https://www.g2.com/compare/sedai-vs-thoras-ai) - [Sedai vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-sedai) ### 9. [Thoras AI](https://www.g2.com/products/thoras-ai/reviews) By Thoras AI **Average Rating:** 5.0/5 **Total Reviews:** 3 Meet your infrastructure Al toolkit: Thoras leverages bleeding-edge Al to predict GPU and CPU resource needs, prevent downtime, and optimize Kubernetes workloads-saving you money and keeping your systems running smoothly. Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Thoras AI](https://www.g2.com/compare/aws-auto-scaling-vs-thoras-ai) **Compare Thoras AI with other alternatives:** - [Thoras AI vs Google Compute Engine](https://www.g2.com/compare/google-compute-engine-vs-thoras-ai) - [Thoras AI vs Cast AI](https://www.g2.com/compare/cast-ai-vs-thoras-ai) - [Thoras AI vs ScaleOps](https://www.g2.com/compare/scaleops-cloud-native-optimization-scaleops-vs-thoras-ai) - [Thoras AI vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/pepperdata-capacity-optimizer-vs-thoras-ai) - [Thoras AI vs Xosphere Instance Orchestrator](https://www.g2.com/compare/thoras-ai-vs-xosphere-instance-orchestrator) - [Thoras AI vs UbiOps](https://www.g2.com/compare/thoras-ai-vs-ubiops) - [Thoras AI vs Real-Time Technology Solutions](https://www.g2.com/compare/real-time-technology-solutions-vs-thoras-ai) - [Thoras AI vs Sedai](https://www.g2.com/compare/sedai-vs-thoras-ai) - [Thoras AI vs Alibaba Auto Scaling](https://www.g2.com/compare/alibaba-auto-scaling-vs-thoras-ai) ### 10. [Alibaba Auto Scaling](https://www.g2.com/products/alibaba-auto-scaling/reviews) By Alibaba **Average Rating:** 3.8/5 **Total Reviews:** 2 Auto Scaling is a service to automatically adjust computing resources based on your volume of user requests. When demand for computing resources increase, Auto Scaling automatically adds ECS instances to serve additional user requests, or alternatively removes instances in the case of decreased user requests. Categories in common with AWS Auto Scaling: [Auto Scaling](https://www.g2.com/categories/auto-scaling) **Compare:** [AWS Auto Scaling vs Alibaba Auto Scaling](https://www.g2.com/compare/aws-auto-scaling-vs-alibaba-auto-scaling) **Compare Alibaba Auto Scaling with other alternatives:** - [Alibaba Auto Scaling vs Google Compute Engine](https://www.g2.com/compare/alibaba-auto-scaling-vs-google-compute-engine) - [Alibaba Auto Scaling vs Cast AI](https://www.g2.com/compare/alibaba-auto-scaling-vs-cast-ai) - [Alibaba Auto Scaling vs ScaleOps](https://www.g2.com/compare/alibaba-auto-scaling-vs-scaleops-cloud-native-optimization-scaleops) - [Alibaba Auto Scaling vs Pepperdata Capacity Optimizer](https://www.g2.com/compare/alibaba-auto-scaling-vs-pepperdata-capacity-optimizer) - [Alibaba Auto Scaling vs Xosphere Instance Orchestrator](https://www.g2.com/compare/alibaba-auto-scaling-vs-xosphere-instance-orchestrator) - [Alibaba Auto Scaling vs UbiOps](https://www.g2.com/compare/alibaba-auto-scaling-vs-ubiops) - [Alibaba Auto Scaling vs Real-Time Technology Solutions](https://www.g2.com/compare/alibaba-auto-scaling-vs-real-time-technology-solutions) - [Alibaba Auto Scaling vs Sedai](https://www.g2.com/compare/alibaba-auto-scaling-vs-sedai) - [Alibaba Auto Scaling vs Thoras AI](https://www.g2.com/compare/alibaba-auto-scaling-vs-thoras-ai) --- ## AWS Auto Scaling Alternatives FAQs ### What are the best alternatives to AWS Auto Scaling? The best alternatives to AWS Auto Scaling include [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) (4.5/5 stars, 952 reviews), [Cast AI](https://www.g2.com/products/cast-ai/reviews) (4.6/5 stars, 192 reviews), and [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews) (4.6/5 stars, 96 reviews). These platforms offer strong scalability, cost optimization, and user-friendly interfaces with extensive automation capabilities. ### What features do alternatives offer that AWS Auto Scaling does not? AWS Auto Scaling lacks some advanced automation features such as real-time workload right-sizing, intelligent spot instance management with automatic fallback, and seamless multi-cloud cluster management that competitors provide. ### Which Auto Scaling tools do reviewers recommend instead of AWS Auto Scaling? Reviewers highly recommend [Cast AI](https://www.g2.com/products/cast-ai/reviews) for its automated Kubernetes cost optimization, real-time workload right-sizing, and intelligent spot instance management that reduces cloud spend by over 50%. [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews) is praised for its ease of setup, dynamic resource optimization, and excellent customer support, delivering significant cost savings and operational efficiency. [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) is favored for its flexibility, customizable machine types, and seamless integration with Google Cloud services, providing reliable performance and scalability. ### How does AWS Auto Scaling compare to Google Compute Engine? According to G2 data, both [AWS Auto Scaling](https://www.g2.com/products/aws-auto-scaling/reviews) and [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) hold an equal average rating of 4.5 out of 5, with AWS Auto Scaling having 257 reviews and Google Compute Engine 952 reviews. AWS Auto Scaling scores higher in Ease of Admin (8.9 vs 8.6) by 0.3 points and Better at Support (8.8 vs 8.4) by 0.4 points, while Google Compute Engine scores slightly lower in Easier to Admin and Support. Both products tie in Easier to Set Up and More Usable dimensions at 8.6 and 8.7 respectively. AWS Auto Scaling is praised for its automatic capacity adjustment based on workload demand, cost-effectiveness, and seamless integration with AWS services, though it has a noted complexity in configuration and slower scaling response times. Google Compute Engine is recognized for its ease of use, flexible VM configurations, strong scalability, and integration within the Google Cloud ecosystem, but users report a steeper learning curve and complex pricing structure. Both platforms offer robust scalability and performance, but AWS Auto Scaling emphasizes automated scaling policies and cost optimization, whereas Google Compute Engine provides more granular VM customization and live migration capabilities. Overall, AWS Auto Scaling excels in administration and support, while Google Compute Engine is favored for flexibility and integration with Google Cloud services. ### Why do users choose Google Compute Engine over AWS Auto Scaling? Users choose [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) over AWS Auto Scaling primarily for its ease of use and flexibility. With 65 mentions highlighting ease of use and 60 mentions praising scalability, Google Compute Engine offers straightforward VM setup and management, which appeals especially to users seeking customizable machine types and seamless integration with other Google Cloud services like BigQuery and Kubernetes. Its live migration feature ensures minimal downtime during maintenance, enhancing reliability. Additionally, Google Compute Engine’s per-second billing and sustained-use discounts contribute to cost-effectiveness for users who understand its pricing model. Users also appreciate the clean and intuitive user interface and the ability to tailor VM configurations precisely to workload needs. Despite a steeper learning curve and complex pricing, the platform’s integration within the Google ecosystem and its flexibility make it a preferred choice for organizations prioritizing control and scalability. 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