Komprise Deep Analytics delivers granular, flexible search and indexes data in-place across file, object and cloud data storage to build a comprehensive Global File Index spanning petabytes of unstructured data. New Komprise Deep Analytics Actions leverages these virtual datasets for systematic, policy-driven data management actions that can feed your data pipelines.
It’s like finding a needle in a haystack in minutes. With Komprise Deep Analytics Actions, we can now give users the power to discover what they need and let us know what to move. Matt Madill, Sr Storage Administrator, Duquesne University
ONE GLOBAL FILE INDEX ACROSS CLOUDS
Finding just the right data across billions of files is challenging. Komprise creates a single Global File Index across all your file, object and cloud storage so you can query and find just what you need in minutes across all your silos.
FEED CLOUD ANALYTICS, CLOUD DATA LAKES AND WAREHOUSES
Moving petabytes of data to the cloud is slow and costly. Find just the precise data your users want to analyze and feed your data pipelines with AI-ready data for data lakes, machine learning, cloud analytics or a cloud data warehouse initiatives.
Unlike traditional analysis solutions that leverage monolithic databases and expensive in-memory resources, Komprise creates a lightweight distributed index that scales to exabytes with minimal footprint.
INTUITIVE POLICY-BASED MANAGEMENT
Easy-to-use interface to define criteria and view search results through summary graphs and details. Set policies on how Deep Analytics data should be moved.
TAGGING AND API
Define tags and search using both standard and extended (tag) metadata. Access via both the intuitive user interface and via an API.
Deep Analytics can be added on as a cloud option with nothing to manage and elastic scalability or as an on premises deployment.