Modern visibility & intelligence
for security, compliance, and IT asset management
Manage visibility, compliance, and optimization
The Complete Cloud Intelligence Platform
In a single dashboard customers can manage their cloud and data security posture, determine costs and vendor license risk, and detect risky configuration drift
Streamlined Inventory
Gain a clear overview of your multi-cloud estate, including cloud-native datastores and resources, in addition to your Oracle and SQL Server databases whether in the cloud on on-premises.
Compliance Confidence
Track usage and licensing to ensure compliance with agreements and avoid costly penalties and cost overruns.
Security Risk Identification
Proactively safeguard your cloud resources and database environments with early detection of potential security threats.
Security Risk Identification
Proactively safeguard your cloud resources and database environments with early detection of potential security threats.
Performance & Cost Optimization
Monitor key metrics to fine-tune your database performance, enhancing efficiency and cost-effectiveness.
Informed Decision-Making
Leverage powerful reporting and alerting capabilities to be audit-ready and proactively address issues and changes within your environment.
What is
OpsCompass?
Product Overview
With OpsCompass, enterprise data and cloud teams can identify risks and optimize data workloads, as well as their multi-cloud infrastructure, with a SaaS platform.
In one dashboard, customers can manage data and cloud security, determine cost and license risk, and detect risky configuration drift from global cloud infrastructure all the way to the database.
Why OpsCompass?
Most enterprises weren’t born in the cloud with the luxury of being automated and cloud-native. These companies leverage mission critical data across multiple clouds, data centers, and data centers.
Cloud maturity or legacy infrastructure are the tools offered to them, but not both. Regardless of your cloud adoption stage, OpsCompass provides a single platform for optimizing and securing data workloads.
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