What I like most about Workflow Data Fabric is how it connects data from different enterprise systems and makes that information available directly within ServiceNow workflows. This reduces the need to manually gather details from multiple tools and piece everything together.

From an administrator’s perspective, having connected data readily available to support workflows makes automation simpler and gives teams clearer visibility into what’s happening. I also appreciate the flexibility around integrations, since it helps build more efficient processes that span different systems without constantly switching between them. Review collected by and hosted on G2.com.

The biggest challenge is the initial setup and the complexity of integration. Connecting multiple data sources takes careful planning, the right configuration, and solid access management.

It can also take a while to fully understand the different integration options and how data flows between systems. Ongoing maintenance matters too: maintaining data quality and keeping integrations stable and reliable is essential, especially when you’re working across multiple enterprise systems. Review collected by and hosted on G2.com.

Performance stays relatively stable even with large datasets, which has made day-to-day use more reliable. We’re seeing fewer duplicates to deal with, and the automation has reduced the amount of manual syncing we used to do. I also love how the customizations fit our system instead of forcing us to change our workflow. Overall, it’s helped remove unnecessary silos and made things feel more connected. Review collected by and hosted on G2.com.

It bothers me how the UI hides advanced features. There are also edge cases that require manual validation, which slows things down. On top of that, not every source connects equally well, so the experience can feel inconsistent depending on what you’re trying to link. Review collected by and hosted on G2.com.

My day-to-day work has been smoother, and I feel more confident when working with business data. The overall UI/UX starts to feel familiar after I’ve spent a bit of time with it. I especially like that I can move between information and workflow-related tasks without feeling like I’m switching to a completely separate environment or having to relearn how everything works. Review collected by and hosted on G2.com.

As per my experience, it provides good flexibility, visibility, and a good pricing structure for sure, too. I have not faced any significant issue that affects my regular work. Review collected by and hosted on G2.com.

The exceptional real-time visibility it provides across all active pipelines is the main reason we adopted this platform. Being able to monitor data flows and spot potential synchronization bottlenecks instantly gives me real confidence that our information stays accurate and up to date. On top of that, the AI-powered insights and the smooth onboarding helped our team start getting value from the platform much faster. Review collected by and hosted on G2.com.

Setting up intricate, multi-source conditions demands precise knowledge of the required syntax, and even small nesting mistakes can quickly derail an entire automated data flow during testing. Review collected by and hosted on G2.com.

Bypassing traditional physical data movement through zero-copy virtualization is one of my favorite capabilities. It allows me to query live data directly from SQL databases, cloud storage, and streaming applications without having to build separate pipelines for each source. The range of integrations also makes it feel surprisingly easy to connect across different environments. Review collected by and hosted on G2.com.

‎Because it consistently delivers high speed, precise data lineage, and effortless querying, there are simply no functional drawbacks to criticize. Review collected by and hosted on G2.com.

It has greatly simplified access to consistent data across multiple processes. The reporting is very reliable because linked data is easy to verify on a daily basis. I don’t have to spend much time investigating conflicting reports, since this platform has improved the data process in more advanced ways. It has also made integration planning more time-saving across several business areas. Review collected by and hosted on G2.com.

The initial data mapping needs more attention before we can reach fully operational reporting. Aside from that, the platform is supporting us well and helping us improve our overall data process. Review collected by and hosted on G2.com.

I really love how it connects data from all our different enterprise systems without making us duplicate everything. The zero-copy approach is a game-changer , it gives me real-time, trustworthy data straight inside our workflows. That’s sped up our decision-making a lot and made integrations way less painful.

On top of that, it adds proper governance and business context, so the data is actually usable right away for automation and AI driven processes.” Review collected by and hosted on G2.com.

That said, unlocking its full value isn’t always straightforward. It really depends on having solid data maturity and getting the configuration right. The initial setup, aligning governance, and figuring out how to properly model your data can be pretty complex especially if your team is new to ServiceNow integrations.

There’s also a noticeable learning curve for non-technical users to fully grasp how the data is contextualized across different systems. Review collected by and hosted on G2.com.

I like how it brings data together without making things overly complicated. I can access information from different systems directly in ServiceNow workflows without worrying about duplicated or outdated data. It saves time, reduces back‑and‑forth between tools, and makes day‑to‑day work smoother because the data I see is current and relevant. Review collected by and hosted on G2.com.

Sometimes it can feel complex at first, especially if you’re not very technical. Understanding how data is connected, governed, and used in workflows takes time, and the initial setup can be a bit heavy. Without proper guidance or documentation, it’s not always obvious how to get the most value out of it quickly. Review collected by and hosted on G2.com.

As a Technical Product Manager working across AI and enterprise platforms, one of the toughest challenges I face is fragmented data trapped in silos while the workflows that depend on it live somewhere else entirely. Workflow Data Fabric helps bridge that gap by unifying data access directly within the ServiceNow platform, so teams can act on the right information without constantly switching contexts or waiting for integrations to catch up. Review collected by and hosted on G2.com.

One limitation worth noting is that the initial configuration in complex, multi-source environments can require significant setup time and the involvement of experienced platform administrators. The learning curve is definitely real for teams that don’t have dedicated ServiceNow expertise, and it may take some time to get everything configured and running smoothly. Review collected by and hosted on G2.com.

It starts with the confidence that the data is accurate. From there, the integrations take away the usual question of where the information is coming from. Over time, the UI becomes familiar enough that it fades into muscle memory. Workflow Data Fabric helped us trust our decisions without constantly second-guessing the data behind them. Review collected by and hosted on G2.com.

Nothing extraordinary to mention. The platform is doing well with its integrations, consistent performance, and organized data. Review collected by and hosted on G2.com.