It ERP integration Connectors, which allow AI agents and workflows to access, act on, and analyze real-time data from external sources (e.g., Snowflake, Databricks, BigQuery) without copying, replicating, or migrating it. This reduces integration costs, improves data security, and enables immediate, context-aware automation. Review collected by and hosted on G2.com.

Complex Setup and High Configuration Effort: Users frequently describe the initial setup as challenging and time-consuming, requiring significant technical expertise.

High Licensing and Overall Cost: It is often considered expensive, making it difficult for smaller organizations to justify the investment.

Performance Limitations: Review collected by and hosted on G2.com.

Servicenow data fabric is how it brings data together from different systems into one unified realtime layer without heavy duplication. It makes workflows smarter because decisions can be based on accurate, up to date information across the business instead of constantly integrating and syncing data between tools. You can access what you need in one place. Review collected by and hosted on G2.com.

It’s complex to set up and to fully understand especially for teams that aren’t already experienced with Servicenow architecture. Getting the data model, integrations and governance right takes time and careful planning. Review collected by and hosted on G2.com.

I like how simplified processes are with ServiceNow Workflow Data Fabric. The zero copy connectors are very beneficial for connecting platforms and AI, and not needing to copy data into staging tables to access it in AI tools is very useful. The workflow designer simplifies integrations and automations in the platform. Additionally, the initial setup was easy. Review collected by and hosted on G2.com.

The workflow studio can be buggy at times but has gotten much better over the last few iterations. Review collected by and hosted on G2.com.

What I myself like most about ServiceNow Workflow Data Fabric is how it unifies data across systems and makes it usable inside workflows without heavy integration work. The strongest points usually include: Unified Data Layer, Real-Time Data Access and Low-Code Integration Review collected by and hosted on G2.com.

Some common concerns people mention about ServiceNow Workflow Data Fabric relate to complexity, performance trade-offs, and cost when working at scale. Here are a few typical downsides: Setup and Configuration Complexity, Performance Limitations with External Data and Governance and Data Consistency Challenges. Review collected by and hosted on G2.com.

I really like the ease with which I can put a workflow together in ServiceNow Workflow Data Fabric. The drag and drop system is a game changer for me, especially in terms of speed to resolution. Additionally, the initial setup of the platform was extremely easy. Review collected by and hosted on G2.com.

I think the data pill picker could be a little bit more cohesive in having more data pills, as it would make workflows more granular. Review collected by and hosted on G2.com.

I like how ServiceNow Workflow Data Fabric seamlessly unifies data from multiple sources into a single, real-time layer, making workflows more reliable and automation far more effective. Its capability to unify data across systems in real-time significantly enhances smarter workflows, better automation, and improved decision-making. The product effectively solves data silos by unifying and synchronizing data across systems, ensuring consistent, real-time information for workflows and decision-making. Review collected by and hosted on G2.com.

Some area could be improved include the initial setup configuration, which can be complex and time consuming, especially for organizations with many integrations. Review collected by and hosted on G2.com.

This platform has strong workflow management capabilities for pulling data from multiple sources. It offers a large number of options and a wide variety of choices, which makes it very appealing to use. The documentation is solid, and the interface is clean and attractive. Review collected by and hosted on G2.com.

The cost of the tool is expensive. Access to open-source resources and opportunities to build and advance skills as an individual is difficult. As an individual developer, I’m not able to get started with strong enough capabilities or clear guidance to really explore what the tool can do. Review collected by and hosted on G2.com.

I like the tasks getting created to my devops board from service now without copying.it.

The realtime workflow access.

Also the access control which connects the used seamlessly. Review collected by and hosted on G2.com.

Since the service now queries the live systems in realtime instead of replicating the data, if the source system is slow then the service now workflow is slow. Also advanced features are locked behind higher subscription tiers. Review collected by and hosted on G2.com.

I like how ServiceNow Workflow Data Fabric is scalable and easy to add and set up. It's self-explanatory and easily actionable, which means it doesn't require much process for setup. I also appreciate that it's integrated with other applications or services. Review collected by and hosted on G2.com.

Most of the features work well for me, but I think it could be improved by making it more attractive with more options and making it more embedded into other systems. I'd like more alternatives and options for areas and things it could do, and for it to be more scalable to any sectors or domains. Review collected by and hosted on G2.com.

I like ServiceNow Workflow Data Fabric's ability to provide real-time data access across various sources, which is really useful for us. Its scalability and the real CMDB metrics are impressive, and I appreciate its ability to take actions based on these outcomes. Additionally, I find that these features integrate well with the ServiceNow ecosystem, especially with Flow Designer and data integration. Review collected by and hosted on G2.com.

Improved logging and monitoring of the issues and AI-assisted troubleshooting steps can be very helpful when issues during data integration come. Review collected by and hosted on G2.com.