Cloud-friendly file backup, visibility, and archive for

Corporate IT

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Igneous for Corporate IT

Igneous delivers a high-performance unstructured data management solution for corporate IT teams.

 

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Legacy data solutions can't keep up

Legacy backup solutions, including tape libraries, simply can’t keep up with the growth of unstructured data. As tape drives fail, the reduced capacity means data is at risk of being lost.

While still popular due to perceived advantages in cost and ease of use - when evaluating the costs of tape vs. other backup solutions, IT decision makers must consider the additional costs. 

Legacy data protection solutions also put a strain on primary systems, making it difficult for IT teams to meet SLAs for both customers, and internal teams.

That's why Igneous was built.

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SaaS backup, archive, and visibility designed for scale

Igneous empowers your IT organization to reduce risk, optimize storage costs, and improve operational efficiency. 

Protect petabytes of new data every day by replacing your slow, legacy backup solution. With Igneous you can quickly find, protect and manage data across your entire organization - even multi-site heterogeneous environments.

Save space on primary storage. Igneous provides better data protection at a lower cost per TB than tape backups. 

Offering both onsite and cloud-based archive options, Igneous moves data at scale to and from any archive endpoint.

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Modern Storage Portfolio

Manage unstructured data, leveraging powerful software architectures to scan, index, and move data across primary, secondary, and cloud tiers

High
Performance

AdaptiveSCAN, IntelliMOVE and InfinitieINDEX are the foundation to seeing, moving, and indexing data faster than anyone else

Compelling
TCO

True operational efficiency over traditional vendors for visibility, protection, and archive

Data-Heavy Teams Use Igneous to:

 

Our Products

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DataDiscover

Real-time indexing, global visibility, and powerful search

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DataProtect

Protect petabytes of data and billions of files

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DataFlow

Modern workflows shouldn’t have to wait for data

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Featured Resources

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