ELEVATE YOUR DATA LAKES AND LAKEHOUSES STRATEGY

Transform raw data into intelligent, searchable, AI-ready ecosystems.

Most lakes and lakehouses aren’t built for unstructured data, limiting their readiness for analytics, governance, and AI. Diskover brings structure, context, and control to these environments—transforming raw repositories into intelligent, AI-ready data ecosystems.

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Partners we’re diving in with.

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

WE OPTIMIZE WHAT FLOWS FROM YOUR LAKE TO YOUR LAKEHOUSE

We bridge the gaps across data lakes and lakehouses.

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.

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Visual overview showing how Diskover unifies unstructured data into data lakes, enriches it with metadata, and delivers AI-ready lakehouses.
CHALLENGE | Siloed and unstructured data.
How we make waves in your data lake: We unify distributed file systems and data silos under one searchable index, giving you global visibility into all data types and locations.

How we make it flow to your data lakehouse: We extend that visibility into structured and unstructured data alike, creating a complete view of your entire data estate.
CHALLENGE | Data without context.
How we make waves in your data lake: We enrich raw files with contextual metadata from file systems, APIs, and business applications to make data meaningful.

How we make it flow to your data lakehouse: We merge file-level and database metadata to strengthen lineage, context, and analytics performance.
CHALLENGE | Uncontrolled data growth.
How we make waves in your data lake: We automate cleanup and tiering by age, type, and access frequency to optimize storage and reduce costs.

How we make it flow to your data lakehouse: We deliver only curated, relevant datasets, keeping your lakehouse lean and cost-efficient.
CHALLENGE | Slow or manual data preparation.
How we make waves in your data lake: We classify, tag, and organize data for immediate access and faster insights.

How we make it flow to your data lakehouse: We feed structured, contextual data directly into your analytics, GenAI, and BI workflows.
CHALLENGE | Lack of integration across tools and storage systems.
How we make waves in your data lake: We act as a super-connector across storage systems and clouds, standardizing access and visibility.

How we make it flow to your data lakehouse: We seamlessly bridge the lakehouse ecosystem with AI and BI tools, ensuring smooth, intelligent data flow.
CHALLENGE | Governance and data quality gaps.
How we make waves in your data lake: We enforce data security and compliance with role-based access, audit trails, and metadata controls.

How we make it flow to your data lakehouse: We improve governance and trust in data through unified lifecycle automation and ongoing data hygiene.

WHY IT WORKS

Built for real-world data complexity.

Diskover doesn’t just move or organize data—it redefines how it’s understood. By combining file-level visibility, metadata enrichment, and automation, Diskover transforms unstructured chaos into actionable intelligence. It unites every layer of your data estate—from lakes to lakehouses—under one searchable, policy-driven framework that scales with your business.

From that unified foundation, Diskover acts as the connective tissue across file, object, and distributed systems—ensuring every dataset contributes to analytics, governance, and AI outcomes with clarity and confidence.

Unified by Design

One index spans all file types, systems, and storage.

Context-Aware

Metadata enrichment turns raw assets into rich, searchable intelligence.

Automation-First

Policy-driven workflows ensure consistent quality and control at scale.

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Community Edition on GitHub

A free edition with no time limit available on GitHub.

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