[
Service... Reviews
](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)

[
Service... Reviews
](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews)

# ServiceNow Workflow Data Fabric Features

##### 
## Data Governance (3)

User Access Management

Allows administrators to assign role-based user access for specific data sets

Dynamic Data Masking

Hides and masks sensitive data automatically based on user permissions

Data Lineage

Provides historical insights into original data sources and transformations made to data sets

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##### 
## Data Preparation (4)

Search

Offers simple search capabilities to discover specific data sets

Data Quality and Cleansing

Allows users and administrators to easily clean data to maintain quality and integrity

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes

Data Modeling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

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##### 
## Collaboration (4)

Commenting

Allows users to comment on data sets to help future users better interact and interpret the data

Profiling and Classification

Permits profiling of data sets for increased organization, both by users and machine learning

Business and Data Glossary

Creates a business glossary for faster understanding by the average business user

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

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##### 
## Artificial Intelligence (3)

Machine Learning Recommendations

Automates recommendations for users based on machine learning functionality

Natural Language Query

Offers natural language querying functionality for non-technical users

Automatic Data Cleansing

Cleans data to improve quality via automation

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##### 
## Automation Building (6)

Visual Editor

Provides a visual editor to easily create automation models.

Workflow Recording

Offers the ability to record processes performed by humans to be recreated by bots.

Pre-Built Templates

Provides templates for workflows and processes for easier automation creation.

Custom Automation

Allows developers to code custom automations.

Collaboration

Offers users the ability to reuse process automations and communicate with other team members around automation building.

Ease of Bot Creation

Allows non-technical users to create bots in an easy, intuitive manner.

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##### 
## Bot Management & Execution (6)

Bot Scheduling

Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence.

Attended Automation

Automates processes that supplement human action, often requiring human intervention and collaboration.

Unattended Automation

Automates processes completely without the need for human intervention.

Bot Performance Analytics

Allows users to analyze the performance of bots via dashboards.

Data and Product Security

Insures data remains secure and compliant with industry standards.

Scalability

Able to support large deployments.

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##### 
## Intelligent Automation (3)

OCR

Provides OCR capabilities in order to recognize text in documents and applications.

Machine Learning

Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.

NLP

Provides NLP capabilities in order to understand text in documents and applications.

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##### 
## Data Management (8)

Data Integration

Consolidate data from various disparate sources in a single unified view

Data Discovery

Understand the state of data, applications, systems and services

Multi - Platform

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Metadata

Provides metadata management and lineage capabilities

Data Integration

Integrates data and data-related technologies into a single environment.

Metadata

Provides metadata management capabilities.

Self-service

Empowers the user via a self-service capability to manage data workflows.

Automated workflows

Completely automates end-to-end data workflows across the data integration lifecycle.

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##### 
## Analytics (3)

Data Analytics

Supports advanced analytics solutions for better business decision making

Analytics capabilities

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Dasboard visualizations

Collect and displays metrics across the data integration via a dashboard.

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##### 
## Security (3)

Compliance

Rules and regulations inherited from source systems or defined to secure sensitive data

Governance

Grant or restrict data access and control

Data Protection

Built - In Backup and Disaster Recovery

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##### 
## Monitoring and Management (2)

Data Observability

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Testing capabilities

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

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##### 
## Cloud Deployment (2)

Hybrid cloud support

Supports analytical platforms and data pipelines across complex hybrid environments.

Cloud migration capabilities

Supports migration of component or pipeline to different cloud environments.

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##### 
## Data management (5)

Metadata Management

Indexes metadata descriptions for enhanced insights.

Automation Features

Ensures automation of metadata across the organization. Dynamically improves data management processes.

Collaboration

Embedded collaboration using APIs and in-app integrations.

Data Lineage

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Data Discovery

Provides an interface to collect and evaluate data to identfy patterns and outliers.

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##### 
## Reporting (3)

Intelligent Insights

Constantly processes metadata to provide intelligent insights.

Actionable Insights

Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.

Dashboards

Supports 360 degree data visibility via a single dashboard.

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##### 
## Generative AI (8)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Agentic AI - Machine Learning Data Catalog (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Data Fabric (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - DataOps Platforms (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Robotic Process Automation (RPA) (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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## Top-Rated Alternatives

[

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4.4/5(1,097)

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[

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UiPath Agentic Automation

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[

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Automation Anywhere Agentic Process Automation

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[
View All Alternatives
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ServiceNow Workflow Data Fabric Comparisons

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_dd08426f9b1cd59deeab3d8fae3cd327/microsoft-power-automate.PNG "Product Avatar Image")

Microsoft Power Automate

4.4/5(1,097)

[
Compare Now
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##### Categories on G2

[
Robotic Process Automation (RPA)
](https://www.g2.com/categories/robotic-process-automation-rpa)[
DataOps Platforms
](https://www.g2.com/categories/dataops-platforms)[
Data Fabric
](https://www.g2.com/categories/data-fabric)

[
Machine Learning Data Catalog
](https://www.g2.com/categories/machine-learning-data-catalog)[
Active Metadata Management
](https://www.g2.com/categories/active-metadata-management)

Show More

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