# ADVPERF02-BP01 Evaluate compute benchmarks and compute options certified by the ISVs if applicable
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 Evaluate ISV compatibility for running on AWS, and use the right resources based on published benchmarking results.

## Implementation guidance
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 Aerospike's ISV product has been observed to be deployed for high-volume customer adtech workloads due to its speed at scale, real-time analytics capabilities, and strong data protection. 

 Databricks is a popular ISV platform used for advertising workloads due to its capabilities in big data processing, real-time capabilities and machine learning support. These facets make it well-suited for the large-scale and fast-changing needs of advertising analytics and intelligence. 

 Consider benchmark evaluation for [Amazon EC2](https://aws.amazon.com/ec2/) Intel and Graviton instances for Aerospike and Databricks. 

## Resources
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 **Related documentation:** 
+  [Running Ad Tech Workloads on AWS with Aerospike at Petabyte Scale](https://aws.amazon.com/blogs/industries/running-ad-tech-workloads-on-aws-with-aerospike-at-petabyte-scale/) 

 **Related partner solutions:** 
+  [Database comparisons and performance benchmarks (Aerospike)](https://aerospike.com/resources/benchmarks/) 
+  [Running operational workloads with Aerospike at petabyte scale in the cloud on 20 nodes](https://aerospike.com/resources/white-papers/running-operational-workloads/) 
+  Introducing the Well-Architected Data Lakehouse from Databricks[6 Guiding Principles to Build an Effective Data Lakehouse](https://www.databricks.com/blog/2022/07/14/6-guiding-principles-to-build-an-effective-data-lakehouse.html) 
+  [Best Practices for Cost Management on Databricks](https://www.databricks.com/blog/best-practices-cost-management-databricks)