AI TOOL PROFILE
OvalEdge: Data Catalog and Governance Solution
- Data and Analytics
- Data Management
- Mid-market companies
- Enterprise organizations
- Data governance officers
- Analytics and BI teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website. Plans include Essential, Professional, and Enterprise tiers based on connector and user counts.
At a glance
- Best for
- Mid-market companies, Enterprise organizations, Data governance officers, Analytics and BI teams
- Key use cases
- Privacy and Compliance Management, Data Product Management, Improving Data Literacy, Legacy Data Remediation
- Integrations
- JIRA, ServiceNow, DevOps
- Official website
- Visit ovaledge official website
How AI is used
OvalEdge is a data intelligence platform designed to help organizations create a centralized catalog of their data assets. It provides tools for metadata management, data lineage visualization, and a business glossary to help teams maintain a shared understanding of their information.
The platform is intended for businesses managing fragmented data or high volumes of legacy data debt. It includes AI agents that help identify sensitive data, detect quality issues, and suggest governance actions, which may reduce manual effort required to keep a catalog updated.
Buyers should confirm their specific user needs when choosing a plan, as the number of author and viewer seats varies between the Essential, Professional, and Enterprise tiers. Pricing is custom; companies should contact the vendor for a quote based on connector and user requirements.
Key Features
AI-Curated Data Catalog
Discovers and organizes data assets to help keep documentation current.
Auto Lineage
Infers end-to-end relationships and data flows to help users understand how data changes across systems.
Business Glossary
Provides a central location for standardized terms and definitions, using AI to flag inconsistencies.
Data Quality Monitoring
Scans historical data for duplicates and missing values and monitors production pipelines for anomalies.
Privacy and Access Controls
Classifies sensitive data and manages access requests through role-based permissions.
askEdgi
An AI-driven analytics interface for users to ask questions based on governed business context.
Use Cases
Privacy and Compliance Management
Supports compliance with privacy laws such as GDPR, CCPA, NDMO, and DPDP through sensitive data identification.
Data Product Management
Governing and distributing certified datasets and metrics as data products for reuse across the organization.
Improving Data Literacy
Using the business glossary and data catalog to help business users find trusted data for analytics.
Legacy Data Remediation
Identifying historical data quality issues, such as duplicates or broken relationships, to address legacy data debt.
Integrations
- JIRA
- ServiceNow
- DevOps
FAQ
What is the difference between Author and Viewer users in OvalEdge?
- Author users have metadata-write permissions to perform system functions, while Viewer users have read-only access to search the catalog and business glossary.
How does OvalEdge handle data privacy compliance?
- The platform identifies sensitive data across sources and uses predefined workflows to help organizations align with laws like GDPR and CCPA.
Can OvalEdge be deployed on-premises?
- Yes, the Professional and Enterprise plans support OnPrem and private AWS/Azure deployments, while the Essential plan is SaaS only.
Source category: Data & Analytics
Source subcategory: Data Management
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