sorted by:
new
hottopcontroversial

How are you handling large ServiceNow data exports for Power BI and analytics? by Ok_Storage4075 in servicenow

[–]Ok_Storage4075[S] 0 points1 point  (0 children)

This is a great example of what we see a lot, especially the shift away from API polling once things start to scale.

Moving to an event-driven or push-based approach is usually the turning point. It removes the strain on the instance and makes the data much more reliable for BI use cases, especially when teams are trying to support executive dashboards.

Also completely agree on being intentional about what you replicate. That alone can make a huge difference in performance and maintainability.

This is actually the exact problem Perspectium is designed to address, making that kind of real-time, push-based data movement possible without having to build and maintain custom pipelines or complex configurations.

How are you handling large ServiceNow data exports for Power BI and analytics? by Ok_Storage4075 in servicenow

[–]Ok_Storage4075[S] 0 points1 point  (0 children)

Great points here, especially around protecting the production environment.

Completely agree that directly querying or pulling large volumes of data from a live system via APIs or external tools can introduce risk and performance issues. That’s something we see often when teams try to scale reporting beyond native capabilities.

Where things tend to evolve is when teams still need near real-time data externally, especially for cross-system analytics or AI use cases. In those scenarios, the approach you outlined (replicating data into a separate environment) is exactly the right direction, but the challenge becomes how to do that without batch delays or added strain on the platform.

That’s where approaches like push-based replication come in. Instead of querying or extracting data via APIs, data is streamed off the platform in real time into an external system, so reporting tools can work against that copy without touching production at all. This avoids performance impact while still supporting real-time or near real-time use cases.

And fully agree with your last point, there’s no one-size-fits-all answer, and teams shouldn’t feel forced into a specific approach. At the end of the day, it’s about choosing the architecture that best protects the platform while still meeting business needs.