Best Platform as a Service (PaaS) Providers for Splunk SOAR

Compare the Top Platform as a Service (PaaS) Providers that integrate with Splunk SOAR as of October 2024

This a list of Platform as a Service (PaaS) providers that integrate with Splunk SOAR. Use the filters on the left to add additional filters for products that have integrations with Splunk SOAR. View the products that work with Splunk SOAR in the table below.

What are Platform as a Service (PaaS) Providers for Splunk SOAR?

Platform as a service (PaaS) software provides companies with the servers and cloud infrastructure they need in order to build applications and services. Compare and read user reviews of the best Platform as a Service (PaaS) providers for Splunk SOAR currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.
    Starting Price: $0.04 per slot hour
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  • 2
    AWS Lambda
    Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.
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