AWS and GCP don’t even come close to the number of configuration options Azure offers for this workload
AUSTIN, Texas, Oct. 15, 2024 /PRNewswire/ — Liftr Insights, a pioneer in market intelligence driven by unique data, demonstrated how much further ahead Azure is compared to other major providers for certain workloads.
While Azure tends to have more options across many workloads, this is not the case for all.
Liftr Insights has been tracking data on the cloud providers representing over 75% of the public cloud for over half a decade. Recent data show that Azure offered 17,157 unique configurations supporting High Performance Database workloads as of mid-year. The next closest was GCP at 1,323 followed by AWS at 1,032.
“Azure tends to offer more configuration options than other cloud providers,” says Tab Schadt, Liftr Insights CEO. “However, this wide disparity makes sense since Azure has been focused on a broader set of enterprises delivering solutions in Gaming, AI and ML, SaaS, and IoT.”
Liftr Insights tracks millions of important data points ranging from information about AI GPUs to prices variances due to memory. Among those datapoints, Liftr data tracks workload such as AI Inference, Gaming, Real-Time Analytics, and Web Server.
While Azure tends to have more options across many workloads, this is not the case for all. For example, for Small/Mid-Sized Databases, Azure offers only 5,078 compared to AWS’s 6,071. In this case, even Aliyun/Alibaba Cloud offers more options than Azure at 5,150. The other providers offer less than 3,000 each. When it comes to price, Oracle and Tencent stand out a 3-4 cents per virtual core hours compared to 5-6 cents for the others.
Prices can be more drastic for other workloads, such as the High Performance Databases mentioned above. While Azure, at $1.07/hour for an 8-core instance, is half the cost of an equivalent instance size at AWS, GCP is less than half Azure’s cost at $0.44/hour. While Oracle does not offer this size, Oracle is even less costly than GCP on a per virtual core basis.
“Seeing the prices—particularly the differences in prices for workloads across the globe—is essential,” adds Schadt, “particularly for businesses focused on their financial bottom line.”
Discover more at: https://liftrinsights.com/cloud-capabilities-tracker
About Liftr Insights
Liftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:
Server processors: Intel Xeon, AMD EPYC, Aliyun Yitian, AWS Graviton, and Ampere Computing AltraDatacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, Google, and Qualcomm.
As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, Tencent Cloud, CoreWeave, Lambda, and Vultr as well as semiconductor vendors AMD, Ampere, Intel, Qualcomm, and NVIDIA. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data.
Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Cloud Components Tracker, Intelligence Compute Tracker, and Liftr Cloud Regions Map.
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Amazon Web Services
Microsoft Azure
Alibaba Cloud
Google Cloud
Oracle Cloud
Tencent Cloud
CoreWeave
Lambda
Vultr
Intel Corporation
Ampere Computing
Qualcomm
NVIDIA
AMD
ARM
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SOURCE Liftr Insights
