Cisco ThousandEyes vs Rubrik
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF internet and cloud network intelligence platform acquired by Cisco. Provides end-to-end visibility into network performance across internet and SaaS paths.
About
Cisco ThousandEyes is a network intelligence platform headquartered in San Francisco that provides enterprises and service providers with end-to-end visibility into digital experience across the internet, cloud infrastructure, and SaaS applications. Originally founded in 2010 and acquired by Cisco in 2020, ThousandEyes operates a distributed network of monitoring agents—deployed in enterprise locations, cloud regions, and backbone provider networks—that continuously measure network path performance, packet loss, latency, and service availability from the perspective of real users. This outside-in monitoring approach gives network and IT teams visibility into segments of the delivery path—including third-party ISPs, CDNs, and cloud providers—that traditional infrastructure monitoring cannot reach.
Publicly traded cloud data management and cyber resilience platform (RBRK) for enterprise backup, recovery, and ransomware protection; converged scale-out infrastructure replaces traditional backup software and media server architectures.
About
Rubrik is a cloud data management and cyber resilience platform that provides enterprise backup, disaster recovery, ransomware protection, and data governance from a converged scale-out infrastructure that replaces traditional backup software and media server architectures with a software-defined approach running on commodity hardware or cloud. The platform's policy-driven data management engine allows administrators to define service level objectives — backup frequency, retention periods, recovery point objectives, and replication targets — at the virtual machine, application, or workload level, and the Rubrik cluster automatically manages all backup operations, deduplication, encryption, and tiering to object storage or cloud according to those policies without manual job scheduling. This policy-first model eliminates the operational complexity of managing thousands of individual backup jobs and schedules that makes traditional backup administration a full-time function at large enterprises.
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