![]() ![]() In fact a Google machine had the fastest time in 13 of the 14 tests. And in a DaCapo benchmark suite run in March 2014, GCE instances completed the 14-test suite in a score of 575 seconds compared to Amazon’s 719 seconds. That said though, GCE still emerges as the victor in this battle.įirst off, Google’s instances start up much faster than Amazon’s, by a factor about 60-80%. A caveat though – it is almost impossible to do an exact apples-to-apples comparison because of the differing specs of machine configurations offered by different vendors. When comparing cloud computing providers, the price-for-performance comparison is critically important. If the machine running your application has a hardware failure or needs a software patch, your instance is automatically migrated to another server. ![]() GCE offers real 100% uptime via transparent maintenance. GCE servers are distributed in 3 zones around the world – central USA, Western Europe and East Asia. GCE offers the standard array of features of a fully-fledged IaaS setup: Windows and Linux instances, RESTful API’s, load balancing, data storage and networking, CLI and GUI interfaces, and easy scaling. At 100% usage in a month for example, a customer will have saved 30% on the baseline rates. VMs can be launched from the standard images or custom images created by users.” To sweeten the deal, Google also throws in sustained-use pricing, in which the hourly rate is tiered downwards the more you use the virtual machine in a given month. As per Wikipedia’s article: “Each VM is charged for a minimum of 10 minutes followed by 1 minute increments, rounded up to the nearest minute. GCE utilizes a novel billing model that differs somewhat from the norm and is sure to have users of other IaaS vendors why they aren’t getting the same deal. It was launched in mid-2012 and started operations proper in April 2013. GCE is Google’s IaaS offering in the increasingly crowded cloud computing market. But in a significant number of other ways, Google Compute Engine (GCE) is also quite different from Amazon’s EC2. DigitalOcean, Rackspace, and Azure.) It’s true that Google is one of the few companies that can seriously go head-to-head with Amazon’s and match its computing capacity and prices. (Not that other vendors don't have their own benefits check out our comparisons - AWS vs. Virginia) in versions 4.8.3 and later, 5.2.1 and later, and 6.0.0 and later.With the introduction of Google’s IaaS dubbed Compute Engine, more than one pundit has declared that Amazon’s EC2 giant has finally met its match. For example, EMR supports m4.16xlarge instances in US East (N. The tables also list the earliest Amazon EMR releases in the 4.x, 5.x, or 6.x series that support each instance type. The following tables describe the instance types that Amazon EMR supports, organized by AWS Region. NVIDIA and CUDA drivers are installed on GPU instance types by Some instance types support enhanced networking. Release versions earlier than 5.13.0, some previous generation instances Virtualization and EBS-backed storage for root volumes. Pricing page or see the Supported instance types by AWS Region tables on thisīeginning with Amazon EMR release version 5.13.0, all instances use HVM In the specified Region and Availability Zone, your cluster may fail to If you create a cluster using an instance type that is not available ![]()
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