Sold by: ServiceNow
Deployed on AWS
Fuel your AI control tower with unified enterprise data from AWS and beyond. Turn data into action without moving it.
4.3
Overview
Workflow Data Fabric is ServiceNow's unified data layer that connects structured, unstructured, and streaming data in real time - without moving, duplicating, or custom-coding integrations. It enriches and contextualizes data from AWS services (S3, Redshift, RDS) and across your enterprise, so AI agents and workflows have what they need to prevent service disruptions, resolve customer requests faster, and optimize operations with built-in compliance.
What you get:
- Real-time data access: Connect any data source - AWS or enterprise - without ETL pipelines or data duplication
- AI-ready workflows: Fuel agents, automations, and analytics with governed, contextualized data that's immediately actionable
- Built-in security: Compliance and governance protections ensure teams and AI agents act on data securely
Workflow Data Fabric turns data into a competitive advantage by making it accessible, actionable, and secure across your entire organization.
How to purchase: ServiceNow products are available on AWS Marketplace through Private Offers, so you can draw down on existing AWS committed spend while meeting data residency and compliance requirements. Pricing is customized to your needs. Contact your ServiceNow Sales team for a personalized, confidential Private Offer, or reach out at servicenow.com/contact-us.
Highlights
- Connect and unify structured, unstructured, and streaming data from AWS (S3, Redshift, RDS) and enterprise systems in real time - no data movement required
- Fuel AI agents, workflows, and analytics with secure, governed data that's enriched and contextualized for immediate action
- Built-in compliance and governance protections ensure teams and AI agents act on data securely across the enterprise
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote. Sign in to view any offers that have been extended to you.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
ServiceNow Support for the covered ServiceNow products and services is available to you 24/7 at the support link below, which includes links to helpful Product Documentation, our Knowledge Base, and our NOW Community of users.
https://support.servicenow.com/now
This application is subject to additional support terms.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Jyoti G.
Seamless Data Integration for Connected Workflows
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
e how Workflow Data Fabric connects data across different systems and makes it available within ServiceNow workflows. It improves data accessibility, automation, integration, and overall process efficiency.
What do you dislike about the product?
Initial integration and configuration can be complex, particularly when working with multiple data sources. Some advanced capabilities require technical expertise, and troubleshooting integrations could be simpler and more intuitive.
What problems is the product solving and how is that benefiting you?
Workflow Data Fabric helps connect fragmented data across systems and reduces manual data handling. It provides better visibility, improves workflow automation, and enables teams to make faster, more informed decisions.
Nikita G.
Seamlessly unifying data across multi-cloud systems into ServiceNow without writing ETL pipelines
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
Feeding AI Agents fresh, live enterprise context (via the Knowledge Graph) so they execute workflows using accurate, ground-truth data instead of stale records.
What do you dislike about the product?
Because it fetches live external data on demand, unoptimized queries across heavy databases (like Snowflake or SAP) create responsiveness bottlenecks.
What problems is the product solving and how is that benefiting you?
My team often juggles separate tools for APIs, data streaming, screen scraping, and document extraction. Data Fabric unifies Integration Hub, Stream Connect for Kafka, and RPA Hub into a single data layer.
Sara B.
Smoother Day-to-Day Work with a Familiar UI/UX After a Short Learning Curve
Reviewed on Aug 10, 2026
Review provided by G2
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
The main problem it helps me solve is fragmented data. When information is spread across different applications, even a simple task can require several searches and manual checks. Workflow Data Fabric helps create a connected data layer, making relevant information easier to access. This has reduced duplicate effort and significantly improved our return on investment.
Mary W.
Reliable Performance for Heavy Analytics Without Disrupting Operations
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
I love to run heavy analytical queries without slowing down my operational databases or interrupting everyday work. The platform also uses AI intelligence to recognize source schema changes automatically. Its overall performance has been consistently reliable.
What do you dislike about the product?
One drawback is that troubleshooting can get challenging when using attribute-based access control across multiple data sources. Although the feature is valuable for security, tracking down permission-related issues can sometimes take longer than I expect.
What problems is the product solving and how is that benefiting you?
ServiceNow Workflow Data Fabric’s onboarding resources and responsive support team made it much easier to get everything configured correctly.
Kate D.
Zero-Copy Virtualization Makes Live Data Querying Across Sources Effortless
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
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.
What do you dislike about the product?
Because it consistently delivers high speed, precise data lineage, and effortless querying, there are simply no functional drawbacks to criticize.
What problems is the product solving and how is that benefiting you?
It has removed a lot of operational friction, giving me more time to focus on strategic analysis rather than routine infrastructure maintenance. By separating processing clusters from storage, I can run demanding workloads side by side without impacting production systems. Pricing feels reasonable to me, since the efficiency gains have translated into a strong ROI.