Komprise extends data management capability with comprehensive file search that creates virtual data lakes

The new Deep Analytics feature in the Komprise 2.11 release expands its data search and indexing, to allow for quick searches of massive amount of data across multiple sources.

Krishna Subramanian, Komprise’s COO

Intelligent data management provider Komprise has extended its data search and indexing capabilities in their 2.11 release. The new Deep Analytics searches across multiple storage platforms and clouds, automating the process of finding unstructured data according to user-defined criteria, which can then be used to create virtual data lakes for Big Data analytics projects.

“Our mission has been to not only help customers manage data, but to unlock the value of their data,” said Krishna Subramanian, Komprise’s COO. “That’s where this new capability is focused.”

Most of the time IT teams spend on Big Data projects is related to identifying relevant data for analysis.

“Many customers use Komprise on petabytes of data,” Subramanian said. “They want to find specific data sets, but the data is so spread out that it’s hard to do that. This new capability lets them set up criteria and queries and find specific sets of data that relate to them, regardless of where they are. It gives them a way to assign relevant data across siloes and operate on them.”

Subramanian indicated that Deep Analytics was piloted with multiple customers, and that one, Northwestern University is now using it in production.

“Some of the storage companies have product that search their own storage,” she stated. “We are different in that we search across all storage products and clouds. We work on file data. We are not trying to do what AWS does or what Looker does. We aren’t searching inside of structured data. It’s like a Google search on file data, unstructured data. We enable Big Data analytics, but we are not a Big Data vendor.”

Komprise sees this new capability as significantly expanding their use cases.

“With this, customers can use data in a way that they couldn’t before,” Subramanian said. “Customers looking for project data for a project from 5 years back, or to tag data so ten years down the road so they can find it easily, can both take advantage of this. It’s all creating more opportunities for research teams to do better research.”

Komprise Deep Analytics is sold as a separate add-on, but Subramanian described the cost as nominal.

“It’s like $35 per TB a year, which is less than 3 cents a GB for a year – and it’s fully managed,” she said.

Subramanian said that the new feature provides value to Komprise’s channel partners on several levels.

“For resellers, this is the holy grail of data management,” she stated. “Data has business value, but it is hard to find the data. Companies with a Big Data strategy or an AI strategy can use it to find the data. Channel partners are trying to differentiate their offerings, and this is a great way for them to do that. Visibility is a first step to managing data. This gives them another way to understand data at a deeper level. That’s a door-opener, a way to have a more compelling conversation, starting around visibility.”

Deep Analytics is the major element of Komprise’s 2.11 release, but it includes some other enhancements, including a ‘move without links’ feature.

“Sometimes you have data where you don’t need access, but want to keep it for retention purposes,” Subramanian said. “You can now move data without using links behind. Normally, when we move data, it looks like the file is still there. This is for a different use case. Now when you move it, if you do it this way, it won’t leave links.”

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