Cross-System Analytics Without Data Centralization
Centralize metadata, not data. Keep data where it belongs, retrieve only what's needed from any system, and compute on demand to deliver cross-system analytics without expensive data centralization.
Most Analytical Questions Never Get Answered
The challenge isn't analyzing data. It's finding the right data, knowing whether it's trustworthy, and bringing it together across multiple systems. Every new analysis becomes an integration & governance project, making many analytical questions too expensive or time-consuming to pursue.
Finding the Right Data Takes Longer Than the Analysis
Before analysis can begin, teams must locate the right datasets, understand what they mean, identify the data owners, and determine whether the data can be trusted. The preparation often takes far longer than the analysis itself.
Cross-System Questions Become Projects
The answers to important business questions rarely exist in a single system. Combining data across applications requires integration, validation, and reconciliation, turning a simple analytical request into a lengthy engineering effort.
One-Time Questions Don't Justify the Cost
Many investigations, reconciliations, audits, and AI explorations don't justify building new pipelines or expanding a data warehouse. The cost often exceeds the value of the analysis, leaving many questions unanswered.
Govern Everything. Move Only What's Needed.
Discovers the right data using the Enterprise Context Graph, moves only what's required into on-demand compute, performs analysis in real time, and delivers secure, trusted answers across your enterprise.
170+ Connectors Retrieve only what's needed
One Engine. Every Investigation.
Every organization has analytical work that doesn't justify another permanent data pipeline.
Financial Reconciliation
Cross-System Reconciliation
Data Quality Debt Analysis
Migration Validation
Compliance & Audit
Root Cause Investigation
M&A Data Comparison
AI Exploration & Prototyping
Historical Analysis
Executive One-Off Requests
Connects to Every System.
Computes Across All of Them.
One analytical engine. Any source. No migration required.
Data Warehouses
Snowflake
Databricks
BigQuery
Redshift
Teradata
Databases
Oracle
SQL Server
PostgreSQL
MongoDB
MySQL
SaaS Applications
Salesforce
Workday
ServiceNow
SAP
HubSpot
Files, APIs & Streaming
Files
APIs
Cloud Storage
Streaming
Trusted by Data and AI Teams to Deliver
"We have seen dramatic results across the board by implementing [OvalEdge], centralizing our metadata with the OvalEdge catalog, and enabling self-service data education."
Dr. Su Rayburn
VP, Information Management & Analytics
"OvalEdge stands out for its holistic approach, providing everything from business glossary to data lineage, all seamlessly integrated. The auto-lineage feature saves us months of work."
Sergei Vandalov
Sr. Manager, Data Governance & Analytics
"It gives us a single source of truth — mapping out where data lives, who owns it, and how it should be interpreted."
Cathy Pendleton
Sr. Manager, Data Governance
Research and Resources to Guide You
Agentic Analytics
Agentic Analytics