ARCHITECTED FOR EXTREME PERFORMANCE

Under the virtual hood: built for speed, scalability, and intelligece.

Diskover’s unique architecture is designed to handle the most demanding data environments with ease. Built for scalability, flexibility, and unmatched speed, it seamlessly integrates with your existing file systems to deliver real-time insights and powerful data management capabilities.

Under the hood, Diskover transforms fragmented storage into a scalable, metadata engine that powers visibility, automation, and AI-ready datasets.

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THE FOUNDATION FOR END-TO-END DATA MANAGEMENT

A modern foundation for data precision, orchestration, and AI.

Gain global visibility and intelligent control over your unstructured data—no matter how much you have or where it lives. Find any file in seconds with powerful searches. Then take action with built-in automation to move, curate, and optimize data across locations, tiers, and clouds. Diskover makes data simple, smart, and AI-ready.

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Diskover delivers lightning-fast, scalable indexing across heterogeneous storage environments—from cloud to on-prem to archive. Seamlessly connects with leading platforms like AWS, Dell, Azure, NetApp, Qumulo, and more to provide a unified view of your data.
Supercharged indexing.
Powered by Elasticsearch, Diskover’s distributed indexing engine delivers unmatched speed and scalability. It scans disconnected repositories in parallel—not sequentially—creating new indices for seamless, continuous data management. Access and compare indices globally, all through a browser-based interface.
Storage and filesystem agnostic.
Diskover efficiently indexes heterogeneous environments across on-prem, cloud, and hybrid storage. It provides the flexibility to connect additional scanners for comprehensive metadata coverage. With native support for extended attributes, Diskover enhances context, precision, and lifecycle automation—no matter where your data lives.
Optimized efficiency via cached scanning.
Diskover’s optimized cached scanning dramatically accelerates re-indexing cycles—achieving 50–75% faster performance on average. By intelligently reusing cached results, it minimizes resource consumption while maintaining index accuracy. This feature is ideal for large-scale, continuously changing environments.
Unified and enriched metadata catalog engine.
Diskover builds a unified metadata catalog designed to merge core and enriched attributes into a single source of truth. By delivering high-value, accurate datasets, it drives smarter discovery, analytics, and automation across all storage environments.
Real-time access to live data.
Diskover’s Live View File Action gives you real-time visibility into your active file systems in between indexing schedules. Monitor live changes directly within Diskover. This feature allows users to make informed decisions and take limited actions without disrupting operations or requiring full re-indexing.
Architected for modern data lakes and AI/BI/ML pipelines.
Diskover integrates seamlessly with data lake and lakehouse environments, enriching metadata to create precise, queryable datasets. This architecture enables efficient data curation and controlled data movement into AI, ML, or analytics platforms—ensuring scalability, governance, and traceability.
Additional details that make Diskover exceptional.
➜ Lightweight footprint—low CPU and RAM
➜ Ideal for sustainable, long-term data visibility
➜ Accessible via any web browser
➜ Non-proprietary—Diskover only indexes metadata
➜ Open integration with APIs and plugins
A high-level view of the Diskover platform architecture. This diagram illustrates how Diskover indexes, enriches, and unifies unstructured data into a scalable metadata catalog powered by Elasticsearch or OpenSearch. From there, users can search, organize, and orchestrate data workflows while feeding curated datasets into BI and AI pipelines or data lakehouse environments.
This diagram illustrates Diskover’s scale-out architecture, built for exceptional speed, reliability, and scalability. It shows how Diskover continuously scans distributed storage repositories in parallel, connecting to any filesystem or cloud storage. Using Elasticsearch or OpenSearch for index storage, the platform scales from a single node to multi-cluster environments while supporting real-time visibility through the Diskover web UI and API integrations.

BENEFITS OF AN OPEN SOURCE PLATFORM

The power and freedom of open source.

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Innovation you can trust.
Diskover is built on open-source technologies like Elasticsearch and OpenSearch—highly scalable engines trusted for performance and flexibility at enterprise scale. This foundation delivers instant search capability, limitless scalability, and seamless integration with modern data ecosystems such as Snowflake and Dell Data Lakehouse.

By combining open-source reliability with leading industry platforms, Diskover enables organizations to index, enrich, and orchestrate unstructured data wherever it resides—on-prem, in the cloud, or across hybrid environments.

Diskover’s open, transparent approach extends to its plugin ecosystem and integrations, fostering interoperability, trust, and agility. By embracing open standards, Diskover empowers teams to innovate faster, collaborate freely, and future-proof their data strategies.
Reliability.
Built on globally proven, open frameworks like Elasticsearch, Diskover ensures unmatched durability and adaptability across any environment.
Security.
Peer-reviewed open-source foundations and transparent integrations strengthen data protection—issues are identified and resolved faster than in closed systems.
Continuity.
Your data remains accessible and independent. Diskover’s open architecture eliminates vendor lock-in and ensures long-term control, even as platforms evolve.
Flexibility.
Integrate Diskover with your existing infrastructure—cloud, on-prem, or hybrid. Customize and extend your data workflows without limitation.

With Diskover, sustainably, affordably, and efficiently manage the lifecycle of all your data.

COMPREHENSIVE INDEXING OF SPECIALIZED FILESYSTEMS

Purpose-built scanners for complex environments.

Diskover is the de facto indexer revolutionizing the market with its unmatched versatility. Designed to integrate seamlessly across diverse environments, it indexes unstructured data with precision and speed, regardless of its location or format.

Diskover’s adaptability ensures it’s the go-to solution for businesses seeking clarity, control, and actionable insights from their data. Diskover isn’t just a tool—it’s the market leader setting the standard.

Atempo Miria

Indexes assets stored in Atempo Miria tape archives, making them searchable and reportable in Diskover. Metadata such as tape number and media type is added during indexing. This enables full visibility, integration into automated workflows, and long-term archive management without needing to restore files.

Dell PowerScale

Harvests PowerScale attributes during indexing with a lightweight scanning architecture. Users can select attributes to include, making metadata searchable, reportable, and actionable—enabling precise data tiering and enhanced control across PowerScale environments. Learn more →

Dropbox

Connects securely to Dropbox using its API to index files, folders, and metadata such as size, timestamps, and sharing settings. Enables better data visibility, structure analysis, and reporting across Dropbox accounts, supporting smarter management and storage optimization.

FTP

Connects to FTP servers to collect file metadata, including size, timestamps, and permissions. Ideal for admins and developers, it provides a comprehensive view of FTP directory structures and helps monitor usage, audit access, maintain security, and ensure compliance.

JSON/CSV Text

Indexes metadata from structured JSON and CSV files, including field names, types, and record counts. Ideal for integrating datasets or monitoring flat file structures, this scanner enhances data transparency and makes tabular content searchable and reportable across your environment.

Microsoft Azure Blob

Indexes files across Azure blob containers, overcoming search limitations in the native Azure interface. Metadata is captured and made searchable, enabling file-level visibility, cost analysis, and automation. Supports unified search across Azure and other storage types indexed by Diskover.

Microsoft OneDrive and SharePoint

Indexes data from Microsoft OneDrive and SharePoint, extracting metadata to improve visibility, structure, and governance. Supports custom scanning rules to align with your cloud management strategy and integrates seamlessly into automated workflows.

Offline Media

Indexes content on disconnected drives and devices, storing static metadata in a persistent “offline” volume. Files remain searchable even after disconnection. Reconnect the device to access files, or use tags, exports, and automation workflows to manage your offline archives efficiently. Learn more →

S3 with or without AWS Endpoints

Indexes files from AWS S3 buckets and S3-compatible storage with custom endpoints. Captures metadata across multi-cloud environments, supports granular search, and enables powerful automation and reporting workflows. Offers broad compatibility and flexible indexing for cloud-based file management.

Spectra Logic RioBroker and BlackPearl

Uses the RioBroker API to connect with Spectra BlackPearl systems, indexing metadata such as size, timestamps, and lifecycle state. Enables deep search and automation across large-scale tape and hybrid environments, improving data integrity, performance, and visibility.

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Community Edition on GitHub

A free edition with no time limit available on GitHub.

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