- HYCU is a rapidly growing company specializing in multi-cloud data protection as a service.
- It has launched R-Cloud, a low-code platform for SaaS companies and ISVs to offer backup and recovery services for their SaaS offerings.
The rapid growth of SaaS applications has resulted in over 17,000 applications being used across organizations today. However, a major issue is that 99% of these applications lack a reliable backup and recovery solution, making it challenging for IT departments to monitor, manage, and safeguard business-critical applications in this modern era.
Simon Taylor, HYCU Founder & CEO, said that if the number of vendors in one of the industry’s leading market reports has only protected seven SaaS applications to date, the current approach to backup and recover SaaS has no future.
R-Cloud is the result of four years of development, incorporating numerous patented innovations to make it easier to visualize data across the enterprise and manage and protect it. The R-Cloud platform empowers SaaS companies to utilize HYCU’s expertise in data protection, orchestration, identity management, policy management, and analytics.
Benefits of Using R-Cloud In SaaS Companies
SaaS companies using R-Cloud can quickly release secure, verifiable data protection services for their customers. The platform provides benefits such as a low-code development environment, rapid visualization of data protection status, integration with award-winning data protection technology, and a secure, patented recovery service.
R-Cloud will support popular SaaS applications such as Amazon RDS, Google Cloud SQL, Salesforce, and Microsoft 365, with new integrations being added to the HYCU Protégé Marketplace.
Investors are excited about the launch of R-Cloud, as it addresses a growing need for secure technology resources, especially in light of increased cyber risks and ransomware attacks. HYCU is well-positioned to meet this need and is leading the charge in innovating new approaches to protecting and recovering SaaS applications and data.