Cloudtenna for Combined Cloud and Local Search
November 16, 2018
Here’s a claim we’ve heard before: ZDNet declares, “Find a File Anywhere: Cloudtenna Targets Local and Cloud File Search.” Writer Robin Harris begins by describing the problem this upgrade addresses—an increasing number of cloud storage locations, combined with on-premise servers, make good search solutions even more challenging to build. Startup Cloudtenna is now expanding their cloud search engine, DirectSearch. Harris writes:
“The new product adds a machine learning platform that find files across disparate platforms, including Dropbox, Box, Microsoft OneDrive, Google Drive, Outlook, Gmail, Slack, Atlassian JIRA and Confluence, and local file servers. You can search on name, sender, date, file type, keyword, content, and other attributes regardless of where the file is located. That’s a lot, but it’s not the hard part. Nor is respecting file permissions, meaning that users can’t access files they aren’t supposed too. The hard part is doing this and delivering sub-second response times, even when thousands of users are searching across billions of files stored on dozens of repositories.”
Machine learning and a lightweight crawler (that collects metadata instead of files themselves) are strengths of the new platform. The company was understandably tight-lipped about the tech behind their cloudy search prowess, but they did release this tidbit:
“It uses real-time binding to build its file index and then performs consistency checks to capture deltas, such as a security change or a deleted file. File deduplication and ACL crunching reduces data required by the index, significantly reducing storage costs and requirements.”
A new OEM partner program helps users embed DirectSearch into existing platforms, and Cloudtenna offers a free, three-month account as a trial for potential users. Based in Sunnyvale, California, the company was founded in 2013.
Cynthia Murrell, November 15, 2018
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