Trilio Named a Leader for the 3rd Consecutive Year in Kubernetes Data Protection Report
Research firm GigaOm names Trilio a “Leader” and “Fast Mover” in the new 2023 GigaOm Radar for Kubernetes Data Protection report for the third consecutive year.
FRAMINGHAM, Mass.—February 10, 2022—Trilio was evaluated along with 14 other vendors based on execution, roadmap, and ability to innovate. According to GigaOm, Trilio is “very well integrated into Red Hat OpenShift environments with support for Advanced Cluster Management (ACM) to apply and manage data protection policies across fleets.”
“Trilio has a balanced solution with broad support for managed cloud solutions, distributions, major databases, and application platforms and very deep integration with OpenShift. The disaster recovery feature set is very mature and is storage agnostic,” says Joep Piscaer, GigaOm analyst.
Trilio provides enterprises with an intelligent multi-cloud recovery platform that’s self-service, recovers outages in minutes, and provides organizations with evidence-based compliance – turning exposed organizations into resilient enterprises who are running always-on, always recoverable applications.
Trilio for Red Hat OpenShift and OpenShift Data Foundation provides an integrated platform that supports running container-based workloads, supporting those workloads with enterprise-grade persistent storage, sophisticated backup and intelligent recovery functionality for persistent volumes and complete applications.
“We are honored to be recognized as a Leader and Fast Mover in the GigaOm Radar for Kubernetes Data Protection for the third consecutive year and delighted to offer our customers near-instantaneous recovery times for cloud-native applications” says Murali Balcha, founder and CTO of Trilio. “Built specifically for cloud-native environments, Trilio for Kubernetes protects applications across any platform, any infrastructure and any cloud, moving the industry beyond ‘back-up your data anywhere, anytime’ to ‘your data is available everywhere all the time”.