Tender Details

Country: Germany
Summary: Maintenance Extension Veeam Data Platform Advanced Enterprise Plus for 3 Years (14.05.2025-13.2028)
DET Ref No: 117772312
Deadline: 05 May 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 82280#00003#0025
Purchaser's Detail:
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Description:
The performance object is the delivery of maintenance extensions to the data protection software licenses of the manufacturer Veeam for 18 existing CPU base. Other software products do not meet the requirements of the BIBB.

The extension is8 designated. The Renewal Reference numbers of the BIBB are communicated to the best bidder after the surge.

- License variant "Veeam Data Platform Advanced Enterprise Plus"

- License Type/ quantity: 18 CPU socket

- Sefined performance period: 14.05.2025 to 13.05.2028

- scope (according to the websitedes Herstellers):

3 years of Production (24/7) maintenance renewal for Data Platform Advanced Enterprise Plus. - Eligible for Production (24/7)

Support licenses purchased greater than 6 months ago. Customers with existing perpetual socket licenses to expand existingenvironments.
Documents:

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Maintenance Extension Veeam Data Platform Advanced Enterprise Plus for 3 Years (14.05.2025-13.2028) - Germany Tender

The FEDERAL INSTITUTE FOR VOCATIONAL TRAINING, a Government sector organization in Germany, has announced a new tender for Maintenance Extension Veeam Data Platform Advanced Enterprise Plus for 3 Years (14.05.2025-13.2028). This tender is published on GermanyTenders under DET Ref No: 117772312 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-05-05.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.