AI TOOL PROFILE
Qumulo: Enterprise Data Management Software
- Data and Analytics
- Data Management
- Enterprise companies
- Mid-market companies
- Organizations with hybrid-cloud workflows
- Data-intensive research institutions
- Large-scale media production houses
Pricing
Pricing was not clearly available from the provided evidence. A free trial is available. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Organizations with hybrid-cloud workflows, Data-intensive research institutions, Large-scale media production houses
- Key use cases
- AI and HPC Workloads, Medical Imaging and Genomics, Media Editing and Rendering, Video Surveillance, Ransomware Protection
- Integrations
- AWS, Azure, Google Cloud, Oracle Cloud Infrastructure, Splunk
- Official website
- Visit qumulo official website
How AI is used
Qumulo is an unstructured data storage platform designed for exabyte-scale file and object data. It supports deployment in private data centers, at the edge, or within public clouds including AWS, Azure, and Google Cloud.
The platform is designed for organizations managing high-performance workloads that require data consistency and multi-protocol support. It uses a global namespace to help users access data across different locations without manual replication of every dataset.
Buyers should consider their hardware preferences for on-premises deployments and confirm whether a self-hosted or fully managed Azure service fits their operational model. Due to its scale and architecture, it is primarily aimed at enterprise IT operations.
Key Features
Multi-protocol Support
Supports SMB, NFS, and S3 protocols, allowing different clients and applications to access the same data.
Global Namespace
Provides a unified view of data across data centers, edge locations, and public clouds.
NeuralCache
A caching system that monitors data access patterns to prefetch data and may reduce latency.
Data Visibility
Includes tools like Qumulo Nexus for analytics and visibility into data usage across the platform.
Flexible Deployment
Supports self-hosted deployments on AWS, Azure, and Google Cloud, as well as a fully managed service on Azure.
Snapshot Locking
Supports cryptographically locked snapshots to help protect data from unauthorized deletion or ransomware.
Use Cases
AI and HPC Workloads
Supports data infrastructure for AI training, inference, and high-performance computing simulations.
Medical Imaging and Genomics
Manages petabyte-scale image archives and sequencing datasets for healthcare and life sciences research.
Media Editing and Rendering
Supports distributed creative teams working with large video files and rendering pipelines.
Video Surveillance
Stores and analyzes volumes of video intelligence for public safety and security operations.
Ransomware Protection
Uses snapshot locking and replication to help protect unstructured data from cyberattacks.
Integrations
- AWS
- Azure
- Google Cloud
- Oracle Cloud Infrastructure
- Splunk
- SolarWinds
- Prometheus
- Active Directory
FAQ
What is the Qumulo Data Platform?
- It is a file and object storage platform that helps enterprises manage unstructured data across the edge, data centers, and public clouds using a single global namespace.
Who is Qumulo designed for?
- It is designed for mid-market and enterprise companies, particularly those in data-heavy industries like healthcare, media, energy, and financial services.
Does Qumulo offer a free trial?
- Yes, a free trial is available for users to get started with the platform.
Which cloud environments does Qumulo support?
- Qumulo supports self-hosted deployments on AWS, Azure, and Google Cloud, and provides a fully managed service option for Azure.
Source category: Data & Analytics
Source subcategory: Data Management
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