Introducing Own Accelerate for ServiceNow

Just one year ago, we announced that we were expanding our SaaS data protection coverage to ServiceNow with the launch of Own Recover for ServiceNow. Since then, we’ve helped many ServiceNow customers protect their mission-critical ServiceNow data. In working with these organizations, several have told us about other challenges they face related to managing their ServiceNow data.

So, we listened, learned, and are now doubling down on our investment in the ServiceNow ecosystem by launching Own Accelerate for ServiceNow. Here’s a preview of what you can expect from this new solution.

Accelerate for ServiceNow

In addition to their production instances, ServiceNow customers have sub-production (sub-prod) instances for developing and testing new applications, integrations, and configurations before deploying them to the production environment. 

To get the most value from their sub-prod instances, developers must populate them with accurate, representative data. This can help them assess how the application functions with realistic data sets and ensure it behaves as expected in various scenarios.

Currently, most ServiceNow customers depend on ServiceNow’s native data cloning tool to populate their sub-prod instances. The problem is, using this tool is commonly used to copy an entire production instance to sub-prod instances, which can be disruptive and time-consuming. For developers, this process doesn't enable them to get the timely, targeted test data that they need to keep up with fast-moving development cycles. 

Accelerate for ServiceNow was built for ServiceNow developers who need a faster, more efficient way to seed test data from their production instances to their sub-production instances. Unlike the native data cloning tool, Accelerate allows you to seed data at the granular record and column levels instead of cloning over entire instances and tables.

Other benefits of Accelerate include:

• Reduce downtime by reducing cloning frequency and instance freezes
• Improve testing processes by automatically seeding live production data to sub-prod instances, including PDIs 
• Precisely seed only the data you need without overwriting data other projects depend on
• Seed data in just a few clicks with intuitive, customizable templates that require no scripting
• Filter records to create the precise data set that you want to seed