Komprise for Google Cloud Storage

Discover, curate and deliver the right unstructured data to Google Cloud Storage for AI, cutting NAS and primary storage costs 70%+.

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Google Cloud Storage data management from Komprise

Komprise Intelligent Data Management for Google Cloud storage enables your organization to:

ANALYZE DATA USAGE ACROSS YOUR STORAGE

Get a single view of how NAS data across storage silos is growing, being used, and what data is hot vs. inactive and cold data.

ASSESS SAVINGS WITH GOOGLE CLOUD STORAGE (GCS)

Explore setting different policies for the data you want to archive and/or replicate to tiers of Google Cloud Storage (Nearline or Coldline) and instantly visualize your projected savings.

ACCESS MOVED DATA IN GOOGLE CLOUD STORAGE AS FILES—LIKE BEFORE

When Komprise moves data to GCS, the moved data is still accessed as files from your NAS or as files or objects from GCS. Users and applications access moved data just like before—without any disruption.

INSTALL IN MINUTES—NO STUBS, AGENTS OR COMPLEXITY

Komprise drops into your environment in 15 minutes – no agents, stubs, complexity, or infrastructure.

SCALE ON-DEMAND WITH INTELLIGENT DATA MANAGEMENT FOR GOOGLE CLOUD

Scale as needed to handle petabytes and beyond by simply adding more virtual machines with no scaling limits or dedicated infrastructure.

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Frequently Asked Questions

What Komprise solutions support Google Cloud Storage environments?
Komprise delivers Intelligent Data Management for Google Cloud Storage that combines analytics, policy-based tiering, and AI data delivery so that only the right unstructured data, not all of it, reaches AI and analytics pipelines. Komprise integrates with Google Cloud Storage classes including Nearline and Coldline to move cold data off expensive primary NAS and reduce storage and backup costs, while curating and preparing the data that matters for AI once it lands in Google Cloud, all without disrupting user or application access.

Learn more about unstructured data management

How does Komprise reduce NAS and primary storage costs by tiering to Google Cloud Storage?
Komprise continuously analyzes NAS and object data to identify cold, inactive files and automatically tiers them off expensive primary storage to lower-cost Google Cloud Storage classes like Nearline and Coldline using Komprise Transparent Move Technology, cutting NAS, backup, and DR costs 70%+ with no vendor lock-in. This same analysis separates ROT data headed for archival tiers from the data worth curating for AI, so Komprise Elastic Data Migration and downstream AI pipelines only handle the data that actually matters.
How does Komprise prepare Google Cloud data for AI and analytics?
The Global Metadatabase indexes and enriches metadata across NAS and Google Cloud Storage, and KAPPA data services extract embedded metadata from PDFs, images, and other files to make that data richer and easier to search. AI Data Ingestion then uses this metadata to deliver only the right, AI-ready, governed data to AI and analytics pipelines in Google Cloud, filtering out ROT data along the way so models train on data that matters, not just the most data.

Read the AI Data Preparation Guide