Sungard Availability Services: Storage-as-a-Service Solution to Scale Storage Capacity With Predictable Monthly Costs

Sungard Availability Services (Sungard AS), announced a Storage-as-a-Service (STaaS) solution that gives customers the flexibility to scale storage capacity with the comfort of predictable monthly costs, via standard per-terabyte pricing.

Organizations today face data/capacity growth and costs ahead of their storage demands. By 2025, IDC says worldwide data will grow to 175ZB ⁽¹⁾, with as much of the data residing in the cloud as in data centers. STaaS offers a cost-effective and flexible experience for storage in the firm’ 45 data centers.

“Sungard STaaS provides all the capabilities of enterprise storage but with Opex pricing and minimum contractual commitments,” said Jim Paterson, EVP, global product and technology,. “Many organizations hve turned to STaaS providers like Sungard AS to address their exponential data growth and the performance needs of new applications, and we’re pleased to help them drive digital transformation success while optimizing their IT spend.“

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This solution provides easy-to-connect storage across a range of block and file storage protocols, managed by a global team of the company’s storage experts. It leverages next-gen storage platforms designed for fast, scalable and resilient storage.

The service offers a range of competitively priced application-aligned performance tiers, multi- or single-tenant options, encryption at rest by default, and is backed by a 99.999% infrastructure availability service level agreement.

Customers can contract from 1TB upwards and burst up/down into their flexible, usage-based storage overhead as demand fluctuates.

Available at all company’s data centers in North America and Europe, this STaaS is for organizations with diverse workload requirements that want to avoid long-term contracts or commitments, or simply want to outsource storage procurement and management.

⁽¹⁾ Source: IDC, Data Age 2025: The Evolution of Data to Life-Critical – Don’t Focus on big data; Focus on the Data That’s Big, 2018.