RaptorDB for Data Owners
RaptorDB for Data Owners is a game-changer. With 70% of enterprises struggling to unify workflow data and 60% citing slow insights as a roadblock to decision-making, ServiceNow’s transition to RaptorDB and Workflow Data Fabric represents a major leap forward. This evolution is a fundamental shift in how data is managed, analyzed, and leveraged for smarter business outcomes. If your organization relies on Performance Analytics, Workspaces, and Dashboards, understanding this shift is crucial.
The Move to RaptorDB for Data Owners is a Big Deal
Raptor DB Case Management is a powerful feature within ServiceNow that leverages a high-performance database (Raptor DB) to manage and track cases efficiently. It allows businesses to handle large-scale case management workloads while integrating real-time analytics into the process. This means that instead of waiting for separate reports or insights, teams can see trends, identify issues, and take action immediately—all within the same system.
ServiceNow’s RaptorDB and Workflow Data Fabric replace traditional reporting and analytics with real-time, AI-powered insights. Instead of batch processing and static dashboards, businesses now get faster querying, federated data access, and intelligent automation that enhances decision-making.
| Feature | Performance Analytics | RaptorDB & Workflow Data Fabric |
|---|---|---|
| Data Processing | Batch-based, scheduled reporting | Real-time, event-driven insights |
| AI Capabilities | Predictive analytics, anomaly detection | AI-powered query optimization, intelligent orchestration |
| Data Federation | Limited to ServiceNow sources | Unified data layer across multiple platforms |
| Security & Governance | ServiceNow platform security | Embedded governance across federated data sources |
| Decision Support | Static KPI tracking | AI-driven recommendations and automated insights |
Why This Matters
- Real-Time Data – No more waiting for reports. Get instant insights.
- AI-Augmented Querying – Speed up queries with machine learning.
- Federated Data Access – Pull insights from multiple sources instantly.
- Workflow Automation – Eliminate manual intervention with AI-driven governance.
Use Cases: When to Use RaptorDB vs. Performance Analytics
| Use Case | Best for Performance Analytics | Best for RaptorDB & Workflow Data Fabric |
| Historical Trend Analysis | Pre-built KPI dashboards, scheduled reports | AI-powered trend forecasting, anomaly detection |
| Real-Time Decision Making | Limited real-time capabilities | Federated queries with live data updates |
| Data Quality & Governance | Manual data correction, predefined rules | AI-assisted validation, automated governance enforcement |
| Cross-Platform Reporting | ServiceNow-native reporting | Unified insights across ServiceNow and third-party platforms |
| AI-Powered Optimization | Limited to anomaly detection | AI-driven recommendations, workflow automation |
Key takeaway:
- If you need static reporting and historical analysis, Performance Analytics is sufficient.
- If you require real-time insights, federated data, and AI-driven workflows, RaptorDB & Workflow Data Fabric are the future.
Case Management Platform Analytics (ITSM, HRSD, GRC)
For example, if you’re managing work, what ever the work, IT incidents, HR requests, or compliance investigations, Raptor DB Case Management helps you store, process, and analyze cases quickly without slowing down business operations.
A dashboard in Raptor DB Case Management provides real-time visibility into cases, trends, and key performance indicators (KPIs) without needing separate reporting tools. Since Raptor DB uses HTAP (Hybrid Transactional/Analytical Processing), it can process cases and analyze data simultaneously—eliminating delays caused by traditional ETL processes.
How Does the Dashboard Work with Raptor DB?
- Live Case Monitoring – See the status of cases as they update in real-time.
- Instant Analytics – View trends, bottlenecks, and workload distribution without separate data extraction.
- Faster Decision-Making – Identify urgent issues and make adjustments on the fly.
Example Use Case
Imagine a compliance team managing investigations. As cases come in, the dashboard instantly displays trends, like a surge in vendor security issues. Instead of waiting for reports, managers can take action immediately.
Bottom Line
The dashboard isn’t just for viewing data—it’s a live command and control center, powered by Raptor DB’s ability to merge case processing and analytics in one system. 🚀
Raptor DB Improves Complex Data Views Like CMDB
Managing a Configuration Management Database (CMDB) can be overwhelming because it contains millions of relationships, assets, and dependencies. Traditional databases struggle to quickly retrieve and analyze this complex web of data, leading to slow reporting and delayed insights.
How Raptor DB Makes CMDB Data Faster & Easier to Use
Raptor DB uses an Integrated Column-Store Index, which automatically organizes, indexes, and compresses large datasets for lightning-fast access.
Key Benefits:
✅ Faster Reporting: No need to sift through millions of records—data is pre-optimized for instant retrieval.
✅ Quicker Ad-Hoc Queries: Ask complex questions (e.g., “Which servers are nearing end-of-life?”) and get near-instant responses.
✅ Better Performance: Large data sets, like CMDB, don’t slow down operations because compressed indexing reduces system strain.
Real-World Example
A CMDB tracks servers, software, dependencies, and changes. Normally, running a report on all software running on out-of-support servers could take minutes or even hours due to the sheer volume of data. With Raptor DB, this data is already indexed and compressed, so the same query runs in seconds—helping teams make faster, informed decisions.
Bottom Line
Raptor DB transforms CMDB from a slow, complex system into an efficient, real-time decision-making tool by automatically organizing and optimizing data for fast insights. 🚀
How RaptorDB & Workflow Data Fabric Integrate with Other Platforms
| Feature | Workflow Data Fabric | Other Workflow Data Platforms (Snowflake, Databricks, etc.) |
| Data Federation | Seamless integration with ServiceNow and external databases | Requires middleware or external ETL tools |
| Real-Time Processing | Built-in support for event-driven data streaming | Often batch processing or requires separate tools like Apache Kafka |
| AI & Automation | Embedded AI for intelligent workflows | External AI tools needed for analytics |
| Data Querying | Uses ServiceNow-native queries and federated queries | SQL-based querying across cloud and on-prem databases |
| Security & Governance | Built-in compliance and RBAC security | Governance depends on third-party platform policies |
Key Benefit: Unlike external workflow platforms, ServiceNow Workflow Data Fabric doesn’t require extra middleware—making it a streamlined solution for businesses that want data governance, real-time insights, and AI-powered automation in one place.
Key Terms You Need to Know
| Term | Definition |
| RaptorDB | AI-driven database for high-performance queries and workflow execution. |
| Data Fabric | A unified data layer that allows seamless interaction across data sources. |
| Federated Querying | The ability to run queries across multiple data platforms without duplicating data. |
| AI-Driven Query Optimization | Machine-learning-powered improvements for real-time database performance. |
| Transactional Consistency | Ensures accurate data flow across multiple workflow steps. |
| Embedded Data Governance | Built-in compliance and automated policy enforcement for workflows. |
Key Benefits for Data Owners & Business Users
- Better Data Quality – AI-assisted validation ensures data consistency and accuracy.
- Faster Queries – RaptorDB delivers high-speed analytics without performance bottlenecks.
- Smarter Decision-Making – AI-powered recommendations reduce guesswork.
- Seamless Integration – Connect multiple data sources without custom middleware.
- Reduced Manual Effort – Automated data governance reduces the need for manual intervention.
What’s Next?
- Training & Adoption: Start exploring RaptorDB queries, federated search, and AI-driven governance.
- AI for Testing & Validation: Use AI to test and validate workflows in real-time, cutting manual efforts.
- Enhanced User Experience: Data stewards will experience better querying, improved data quality, and streamlined validation processes using Workflow Data Fabric.
Other RaptorDB for Data Owners Resources
- AI Agents – ServiceNow
- Connect, understand, and act on any data to fuel human and AI-powered workflows
- Integration Hub – Now Platform – ServiceNow
- RaptorDB Documentation
- RaptorDB– Standard and Professional Licenses
- RaptorDB – ServiceNow
- Thirdera, a Cognizant Company – First ServiceNow Partner to Bring Workflow Data Fabric
- Workflow Data Fabric – ServiceNow
