ELEVATE YOUR DATA LAKES AND LAKEHOUSES STRATEGY

From muddy data to clean inputs.

Most lakes and lakehouses aren’t built for unstructured data—slowing analytics, governance, and AI. Diskover adds structure, context, and control, turning raw repositories into high-value data that flows into downstream platforms.

Talk with our experts

Partners we’re diving in with.

Dell Technologies, a technological partner of Diskover Data
Snowflake logo, a technology partner of Diskover Data

Diskover optimizes what flows from your lake to your lakehouse.

If the lakehouse builds the structure around your data lake, Diskover fills it with clean, contextual, and organized data that your analytics, governance, and AI teams can actually use. It bridges the gap between raw storage and real intelligence—bringing order, traceability, and value to every file, everywhere.

Talk with our friendly experts
Diagram showing Diskover as a data management platform and “super-connector” that brings global visibility, metadata intelligence, and workflow automation to unstructured data—bridging files across storage, systems, and clouds into data lakes and lakehouses for AI pipelines, GenAI/LLMs, BI dashboards, open formats, and downstream analytics.

How it works and why it matters.

Unified visibility across your data estate.
Bring scattered file systems and silos under one searchable view—so you can see what you have in the lake and carry that visibility into the lakehouse for a complete end-to-end picture.
Metadata-rich context you can trust.
Enrich raw files with business and technical metadata from file systems, APIs, and applications—then flow that context into the lakehouse to strengthen lineage, analytics, and decision-making.
Smarter tiering and cost control.
Automate cleanup and tiering using age, type, and access patterns in your data lake. Move only curated, high-value datasets into the lakehouse to keep costs and footprint under control.
Faster AI/BI readiness with less manual prep.
Classify, tag, and organize data for immediate discovery in your data lake. Deliver structured, contextual datasets into the lakehouse to accelerate AI, analytics, and BI workflows.
Governance built in, not bolted on.
Apply policy-based controls (access, auditability, and compliance metadata) at the lake—then extend governance into the lakehouse with lifecycle automation and ongoing data hygiene.
Bridge silos across storage and tools.
Diskover acts as a super-connector—linking your storage and clouds so everything is easier to find and use in your data lake. Then it helps move the right data into your lakehouse for analytics, BI, and AI.

Built for real-world data complexity.

Unstructured data makes lakes muddy—hard to find, hard to trust, and expensive to manage. Diskover doesn’t just move or organize data—it enriches and curates it so only trusted, high-value data flows downstream.

AI/BI-ready dataset delivery.

Analysts waste days hunting files, validating versions, and rebuilding the same extracts.

Diskover identifies the “approved” sources, tags them with context (owner, project, sensitivity, freshness), and delivers a curated dataset to the lakehouse—ready for BI dashboards and AI pipelines.

Train models on trusted data.

RAG/LLM workflows ingest duplicates, stale content, and restricted files—leading to noisy answers and risk.

Diskover filters to high-value, policy-safe content, removes junk/duplicates, and passes only trusted documents + metadata (recency, permissions, lineage) into the lakehouse/vector pipeline.

Media & entertainment.

Teams can’t quickly find the right versions (proxy vs camera original), and expensive tiers fill up with old renders.

Diskover can classify assets by project/show/episode, identify cold data, and automate tiering, while sending only the needed working set into the lakehouse for reporting and workflow automation.

Life science & genomics.

FASTQ/BAM/VCF files are scattered, poorly labeled, and hard to trace back to sample/run metadata.

Diskover enriches files with lab/run/sample context, flags duplicate outputs, and delivers a clean, traceable dataset into the lakehouse for analytics and compliance-ready reporting.

Automotive & aerospace.

CAD, simulation, and test files sprawl across shares and cloud buckets, with duplicates and “final_v12” versions everywhere—making it hard to know what’s current and safe to use.

Diskover classifies and tags engineering data (program, part, revision, owner, sensitivity), flags duplicates and stale versions, and curates the approved “gold” dataset—then flows only trusted inputs into the lakehouse for analytics, AI, and compliance reporting.

Ready to bring order to your unstructured world?

Schedule a demo
Start with Community Edition
Scroll to Top