HYCU Presents at Cloud Field Day 22

Hybrid Cloud Data Protection An overview of HYCU

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HYCU, the world’s fastest-growing data protection as a service company, focuses on solving the challenges customers face in today’s data protection landscape. The company’s presentation at Cloud Field Day highlighted its evolution over the past few years and provided a business overview. A key problem HYCU addresses is the explosion of data sources—the average mid-market company uses at least 212—making traditional, single-source data protection solutions inadequate. HYCU’s approach is to provide a single, unified platform for protecting data regardless of its location, whether on-premises, in the public cloud, or within various SaaS applications.

The presentation emphasized HYCU’s comprehensive coverage, protecting over 80 SaaS services compared to the aggregate of less than 10 protected by all other companies in the Gartner Magic Quadrant. This broad protection extends to hybrid cloud infrastructure, modern cloud applications and services (including BigQuery, Cloud SQL, Jira, Confluence, and Salesforce), and even DevOps and ITSM tools like GitHub and GitLab. The company boasts a 91 Net Promoter Score and numerous industry awards, including recognition from Gartner, Google, and GigaOM. HYCU’s platform, R-Cloud, features R-Graph, an auto-discovery tool that visualizes data location and compliance status, showcasing its value in simplifying data protection management for even complex organizations.

A core component of HYCU’s strategy is its 100% channel approach and its organic growth since its founding in 2018. The company has focused on building a user-friendly platform that solves the “equivalency problem,” making data protection equally simple regardless of the source. Their partnership with Anthropic has been instrumental in rapidly expanding their integrations, surpassing competitors with over 80 integrations. The presentation concluded with a discussion of the often-overlooked need for data protection in emerging areas like AI/ML and DBaaS, further highlighting HYCU’s mission of building a safer world through universal data protection.

Personnel: Simon Taylor

Evolving Cloud Data Protection Market Needs with Dell and HYCU

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Dell’s presentation at Cloud Field Day, featuring David Noy, Vice President of Product Management at Dell DPS, offered insights into Dell’s cloud strategy and its partnership with HYCU. Noy highlighted the market need for cloud data protection solutions that avoid vendor lock-in, reduce total cost of ownership (TCO), and enhance security. He emphasized Dell’s PowerProtect Data Domain, boasting a significant market share and a 50:1 average deduplication ratio, as a key component of their strategy, enabling significant cost savings compared to cloud-native solutions.

A core element of Dell’s approach is leveraging an ecosystem of partners like HYCU to address the rapidly expanding landscape of cloud workloads and SaaS offerings. This collaboration allows Dell to offer comprehensive data protection for a broader range of applications without needing to develop in-house support for every service. The partnership with HYCU is particularly valuable due to HYCU’s deep understanding of various workloads and their ability to integrate seamlessly with Dell’s PowerProtect Data Domain, utilizing Dell’s Boost protocol for efficient and secure data transfer.

Dell’s existing customer base and established sales channels, including direct sales and channel partnerships, facilitate the deployment of the combined Dell-HYCU solution. The integrated approach simplifies the purchasing process for customers, providing a single quote encompassing both Dell’s storage and HYCU’s software. Noy underscored the significant cost reductions achievable through this combined offering, citing a real-world example showcasing a 66-75% reduction in costs compared to using native cloud infrastructure. This cost reduction, combined with improved resilience and support for modern applications, positions the Dell-HYCU partnership as a compelling solution in the evolving cloud data protection market.

Personnel: David Noy

Freedom of Choice for Cloud workloads with Dell and HYCU

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Customers face ongoing challenges in determining optimal locations for their core workloads, driven by cloud economics, hypervisor competition, and the need for business agility. To address this, organizations require infrastructure enabling seamless cross-cloud and cross-hypervisor mobility with minimal effort. The HYCU presentation at Cloud Field Day, in collaboration with Dell PowerProtect DD, demonstrated how their joint solution delivers protected mobility across hypervisors and clouds, reducing data loss, recovery time, and costs while mitigating vendor lock-in. A customer story and live demo illustrated the benefits of this approach.

The core of the presentation highlighted the challenges of cloud workload mobility, focusing on application-based workloads hosted on VMs. These challenges included the complexities of navigating differing cloud vendor rules and APIs, the rising costs of cloud storage and egress fees (though this was somewhat mitigated by the fact that some major cloud providers are removing egress fees), and the ever-present threat of cyberattacks such as accidental deletion, insider threats, and ransomware. HYCU’s solution, in conjunction with Dell PowerProtect DD, was presented as overcoming these hurdles through continuous innovation, streamlining manual migration steps, and constant monitoring of changing cloud APIs.

HYCU’s key differentiators included seamless integration with diverse data sources through high-end API-level integration, ensuring secure and performant connections. The partnership with Dell PowerProtect DD, specifically the DDVE virtual appliance, offered proven storage optimization, particularly through deduplication and efficient data transfer, minimizing ingress and egress costs. Combined, HYCU and Dell PowerProtect DD provide air-gapped backup security, utilizing the DD Boost protocol for highly secure data transfers, and offer a range of recovery options, including granular and full restores, to any desired location. A customer case study showcased the success of this integrated approach in migrating workloads between VMware and Azure, emphasizing cost reduction, enhanced security, and simplified migration.

Personnel: David Noy, Shiva Raja

Protecting the heartbeat of ML/AI use cases with HYCU

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HYCU’s presentation at Cloud Field Day focused on the critical need for data protection within the rapidly expanding AI/ML landscape. The increasing adoption of AI mandates across organizations necessitates robust protection for the underlying data lakes and lake houses that fuel these systems, as well as the repositories AI creates. The presentation highlighted the broad coverage HYCU provides for this data stack, emphasizing its innovative solutions for Google BigQuery, a major data framework used in production environments.

A key aspect of the presentation centered on the various reasons why protecting AI data is essential beyond simply recreating results. Speakers discussed the importance of cyber resilience, the ability to revert to specific points in time to address performance issues or model drift (re-vectoring), and the crucial role of data protection in meeting legal and compliance requirements, such as demonstrating the absence of PII or IP infringement in training data. Furthermore, the complexity of reconstructing datasets spread across diverse sources (on-premises and cloud) was underscored as a significant challenge requiring a comprehensive data protection strategy.

The presentation showcased HYCU’s capabilities in addressing these challenges, specifically demonstrating its solutions for BigQuery. HYCU’s platform provides automated discovery and protection for a wide range of Google Cloud services and boasts a patent-pending technology enabling atomic backups. This innovation addresses the critical issue of data synchronization across multiple tables and datasets within a data lake house, ensuring consistency during backups and recovery. The discussion also highlighted the increasing reliance on data lake houses as central repositories for AI-related data, emphasizing the importance of robust protection for these often singular copies of crucial datasets.

Personnel: David Noy, Sathya Sankaran