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Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors

Benchmarking shows Elasticsearch runs up to 40% faster on Google Axion Processor C4A

Elastic announced Elasticsearch runs with up to 40% higher indexing throughput on C4A VMs, powered by Google Axion, Google’s first custom Arm-based CPU, compared to previous generations of VMs on Google Cloud. 

Elastic used a macro benchmarking framework for Rally with the elastic/logs track to determine the maximum indexing performance on Google Axion-powered VMs. C4A also powers Elastic Cloud Serverless.

“Elastic is driving innovation and cost-efficiency by enabling customers to leverage our Search AI-powered search, observability, and security solutions on Arm-based architecture,” said Uri Cohen, vice president of product management at Elastic. “Google Axion processors augment Elastic’s best-in-class capabilities, enabling users to index data more efficiently and improve search performance.”

“We're excited to bring the efficiency and performance benefits of our custom Google Axion processors to Elastic Cloud Serverless,” said Salil Suri, director of product management, Google Compute Engine. “Powered by our new Titanium SSDs local storage, our first Axion VM family - C4A - provides Elastic users up to 40% higher indexing throughput, underscoring our commitment to continuously deliver workload-optimized infrastructure to power Elasticsearch on Google Cloud." 

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Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors

Benchmarking shows Elasticsearch runs up to 40% faster on Google Axion Processor C4A

Elastic announced Elasticsearch runs with up to 40% higher indexing throughput on C4A VMs, powered by Google Axion, Google’s first custom Arm-based CPU, compared to previous generations of VMs on Google Cloud. 

Elastic used a macro benchmarking framework for Rally with the elastic/logs track to determine the maximum indexing performance on Google Axion-powered VMs. C4A also powers Elastic Cloud Serverless.

“Elastic is driving innovation and cost-efficiency by enabling customers to leverage our Search AI-powered search, observability, and security solutions on Arm-based architecture,” said Uri Cohen, vice president of product management at Elastic. “Google Axion processors augment Elastic’s best-in-class capabilities, enabling users to index data more efficiently and improve search performance.”

“We're excited to bring the efficiency and performance benefits of our custom Google Axion processors to Elastic Cloud Serverless,” said Salil Suri, director of product management, Google Compute Engine. “Powered by our new Titanium SSDs local storage, our first Axion VM family - C4A - provides Elastic users up to 40% higher indexing throughput, underscoring our commitment to continuously deliver workload-optimized infrastructure to power Elasticsearch on Google Cloud." 

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Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

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Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...