- What We Do
- Solutions Overview
- Use Cases
- Get Started
Use Cohesity Analytics Workbench to extend the native in-place analytics features of the Cohesity DataPlatform, so you easily find what you need in the data you have.
Efficiently and quickly process large datasets across a Cohesity Cluster--using pre-built or custom application code. Cohesity clusters make it possible for even the most complex MapReduce computations to run natively within the Cohesity DataPlatform, never requiring external computer or data migrations typical of other Hadoop-like analytics implementations.
Schedule analytics jobs to execute at predefined intervals or one-time only. Prioritize Cohesity Analytics Workbench tasks in conjunction with other concurrent workloads using Cohesity’s built-in Quality of Service (QoS) capabilities or run tasks in the background.
Generate and access detailed storage, file-level, and virtual machine-level reports on the fly, removing the unnecessary complexity of having to deploy a separate business intelligence (BI) tool to extract information from data. Spot trends in your secondary data, improving decision making and informing future planning cycles.
Only Cohesity Analytics Workbench capabilities let you build custom Apps from secondary data, delivering the specific reporting and analysis your organization requires.
Rely on rapid content analysis to find relevant case information for legal requests or holds.
Help meet EU General Data Protection Regulation (GDPR) and other Personally Identifiable Information (PII) compliance requirements with cluster-wide content scans for names, phone numbers, and credit card information that may have been stored in clear text.
Log correlation across disparate packet capture solutions to identify potential threats or origin of a security breach.
Henry Baltazar, Research Director, Storage