EMC Data Domain Hardware Storage
ES30 vs DS60 Expansion Shelf

Comparing Data Domain Expansion Shelf Models: ES30 vs DS60

The selection of the right expansion shelf model is pivotal for organizations aiming to enhance their storage capabilities seamlessly. Two prominent players in the EMC Data Domain expansion shelf lineup are the ES30 and DS60 models. Each comes with its unique features, specifications, and use cases. In this comprehensive guide, we will delve into a detailed comparison of the ES30 and DS60 Data Domain expansion shelf models, helping you make an informed decision based on your organization’s specific requirements.

Understanding Data Domain Expansion Shelves:

Before diving into the specifics of the ES30 and DS60 models, let’s establish the context by understanding the importance of expansion shelves in the world of data storage.

Why Expansion Shelves?

The demand for scalable storage solutions is driven by the ever-growing volumes of data generated by organizations. Expansion shelves provide a modular and flexible approach to increase storage capacity, allowing businesses to accommodate their evolving data needs without the need for a complete overhaul of their storage infrastructure.

Data Domain Expansion Shelf Models: ES30 vs DS60

Data Domain ES30:

  • Overview:
    • The ES30 is designed as a versatile and scalable expansion shelf, catering to a broad range of data storage requirements.
    • Offers up to 238 TB of raw capacity, providing a substantial boost to storage capabilities.
    • Suitable for organizations with medium to large-scale data storage needs.
  • Key Features:
    • High-density storage with a compact form factor.
    • Supports both Data Domain and Data Domain Virtual Edition (DD VE) systems.
    • Designed for seamless integration with existing Data Domain environments.
  • Performance Metrics:
    • Offers impressive throughput, making it suitable for organizations with demanding backup and recovery operations.
    • Provides scalability to accommodate future data growth.
  • Use Cases:
    • Ideal for organizations requiring a balance between high capacity and performance.
    • Suited for data centers and enterprises with moderate to large-scale data storage demands.

Data Domain DS60:

  • Overview:
    • The DS60 is positioned as a high-density expansion shelf, focusing on providing exceptional raw capacity in a compact design.
    • Offers up to 720 TB of raw capacity, making it a powerhouse for organizations with substantial data volumes.
    • Designed for large enterprises with extensive storage requirements.
  • Key Features:
    • High raw capacity in a compact form factor, optimizing data center space utilization.
    • Efficient power consumption for sustainable and environmentally conscious operations.
    • Advanced data deduplication capabilities for optimized storage efficiency.
  • Performance Metrics:
    • The DS60 excels in providing significant raw capacity, making it suitable for large-scale data storage.
    • It offers competitive throughput, meeting the demands of data-intensive operations.
  • Use Cases:
    • Tailored for large enterprises with extensive data volumes.
    • Suited for organizations prioritizing raw storage capacity and looking to optimize data center space.

Performance Metrics and Considerations:

Throughput:

  • Both the ES30 and DS60 models offer competitive throughput, catering to the performance demands of their respective target audiences. Organizations should evaluate their specific backup and recovery requirements to determine the most suitable model for their operations.

Raw Capacity:

  • The DS60 outshines the ES30 in terms of raw capacity, providing up to 720 TB compared to the ES30’s 238 TB. Organizations with massive data volumes and a focus on raw capacity may find the DS60 to be a preferable choice.

Scalability:

  • Scalability is a critical factor for organizations anticipating future growth. Both models offer scalability, with the DS60 providing higher raw capacity, making it more suitable for large enterprises with dynamic data storage needs.

Form Factor and Space Utilization:

  • The ES30 and DS60 differ in their form factors, with the ES30 emphasizing a balance between high density and compact design. The DS60, on the other hand, focuses on providing a high-density solution optimized for efficient data center space utilization. Organizations should consider their physical space constraints and preferences when making a selection.

Use Cases and Considerations:

ES30 Use Cases:

  • Medium to Large-Scale Environments:
    • The ES30 is well-suited for organizations with medium to large-scale data storage needs.
  • Versatility:
    • Its versatility makes it adaptable to a variety of use cases, providing a balance between high capacity and performance.
  • Existing Data Domain Environments:
    • Designed for seamless integration with existing Data Domain environments.

DS60 Use Cases:

  • Large Enterprises:
    • The DS60 is tailored for large enterprises with extensive data volumes.
  • Optimized Space Utilization:
    • Ideal for organizations prioritizing raw storage capacity while optimizing data center space.
  • Data-Intensive Operations:
    • Suited for organizations with data-intensive operations, where high raw capacity is a critical requirement.

In the dynamic landscape of data storage, the choice between the ES30 and DS60 Data Domain expansion shelf models hinges on specific organizational requirements. The ES30, with its versatile design, caters to medium to large-scale environments, providing a balanced approach to capacity and performance. On the other hand, the DS60, with its emphasis on raw capacity and optimized space utilization, is tailored for large enterprises with extensive data volumes.

Ultimately, the decision should align with your organization’s unique needs, considering factors such as current data volumes, anticipated growth, performance demands, and physical space constraints. A thorough evaluation of these factors, along with an understanding of the distinctive features of each model, will empower you to make an informed decision that optimally serves your organization’s data storage goals.