Graphistry Hub is the cloud-based version of the Graphistry visual investigation platform, designed for analyzing large and complex datasets through interactive, GPU-accelerated graph visualizations. It allows security analysts, fraud investigators, and data scientists to uncover patterns, connections, and anomalies in structured data without the need for deep technical skills.
Graphistry Hub eliminates the infrastructure burden by offering Graphistry’s powerful visualization engine as a web service. Users can upload data, model it into node-link graphs, and explore relationships across millions of records—all through a secure, browser-based interface.
By combining visual analytics, no-code tools, and GPU rendering, Graphistry Hub enables faster investigations and deeper insights for teams working on security, fraud, IT operations, and data analytics.
Features
Graphistry Hub includes a wide range of features built for modern, data-intensive investigations and analysis.
GPU-Accelerated Visualization
Graphistry Hub uses GPUs to handle large-scale graph rendering, enabling smooth, interactive visuals for datasets with millions of nodes and edges.
Cloud-Based Access
Access the platform from any modern browser without installing software or managing infrastructure.
No-Code Visual Analytics
Drag-and-drop and visual configuration tools let analysts map and explore data without needing to code.
Graph Modeling
Define how raw tabular data maps to graphs using node and edge specifications. Control node types, edge connections, and metadata display.
Live Filtering and Search
Interactively filter graph elements based on attributes, values, or search queries in real time.
Graph Playbooks
Use reusable, shareable investigation workflows for common use cases like threat hunting, fraud detection, or supply chain analysis.
Collaboration Tools
Share graphs and findings with teammates using URLs or embeddable dashboards. Control access with permissions.
Python & Jupyter Integration
For advanced users, integrate Graphistry Hub into Python workflows or Jupyter Notebooks using the Graphistry Python client.
Data Connectors
Connect data from spreadsheets, CSVs, Elasticsearch, Splunk, and other sources. Import structured data quickly via upload or API.
Time-Based Analysis
Visualize time-sensitive data, sequence events, and apply temporal filters to see how networks evolve over time.
Explainable Analytics
Hover and drill down into visual elements to understand context, metadata, and investigative significance.
Public & Private Graphs
Choose between private investigations or public sharing. Publish visualizations for reports or presentations.
Open Graph Format
Graphistry uses a standard open protocol to ensure compatibility with other tools and platforms.
How It Works
Graphistry Hub works by transforming structured datasets into interactive graphs that users can explore through a web browser. The user journey typically involves:
Uploading a CSV or connecting a live data source.
Specifying which columns represent nodes and relationships.
Mapping attributes for color, size, label, and filtering.
Launching a GPU-rendered graph view for exploration.
Applying filters, time ranges, or clustering logic.
Saving or sharing the interactive graph with others.
The platform takes care of all the backend processing—GPU rendering, layout optimization, and scaling—allowing users to focus on insight discovery. Graphs can be accessed anytime through the cloud dashboard or linked into external apps and reports.
Developers and analysts can also script custom pipelines using Graphistry’s Python library, enabling automated graph generation and deeper analytics within Jupyter environments.
Use Cases
Graphistry Hub is designed for teams working with connected or event-driven data across a range of industries.
Security Operations (SOC)
Investigate alerts, correlate events, and trace attacks by mapping log data into entities like users, IPs, domains, and devices.
Fraud Detection
Uncover fraudulent patterns by connecting transactions, accounts, locations, and behaviors in visual clusters.
Threat Intelligence
Visualize indicators of compromise (IOCs), campaigns, malware variants, and actor infrastructure from threat feeds and reports.
IT Operations
Map infrastructure dependencies and network activity for faster root-cause analysis and anomaly detection.
Supply Chain Analysis
Track vendors, shipments, and operational dependencies to assess risks and optimize resilience.
Financial Investigations
Identify money laundering rings, fraud networks, or suspicious transaction paths by linking financial records visually.
Healthcare Analytics
Analyze patient flow, provider interactions, or treatment sequences with time-series graph analytics.
Internal Audit and Compliance
Reveal policy violations, insider threats, or access anomalies across digital systems.
Academic Research
Use large datasets from biology, sociology, or networks research for interactive exploration and publication.
Open Data Publishing
Enable the public to explore datasets visually, such as social networks, public contracts, or investigative journalism data.
Pricing
Graphistry Hub offers flexible access through both free and enterprise plans.
Free Plan
Upload limited-size datasets
Create public or private graphs
Access basic GPU visualizations
Ideal for learning, testing, or small investigations
Business / Enterprise Plans
Handle large datasets and complex graphs
Priority GPU resources
Advanced playbooks and security features
Integration with Splunk, Elastic, Jupyter, and cloud APIs
Team collaboration tools and admin controls
SLA-based support and custom features
Pricing for business and enterprise tiers is available upon request through Graphistry’s sales team.
Strengths
Graphistry Hub delivers significant advantages for organizations dealing with large, relational datasets.
Instant Access
Cloud access removes the need for installation or infrastructure. Get started quickly in a secure web interface.
High-Performance GPU Engine
Smoothly visualize massive graphs that traditional tools can’t handle.
No-Code & Code Options
Appeals to both business users and technical analysts through no-code tools and Python integrations.
Collaboration Built-In
Teams can share investigations, dashboards, and graph links instantly with configurable access controls.
Reusable Playbooks
Standardize investigations across teams with repeatable workflows and templates.
Wide Data Source Support
Compatible with CSVs, databases, logs, and API data through uploads or connectors.
Visual Intelligence
Surface hidden relationships and anomalies faster than text-based analysis alone.
Open Ecosystem
Based on open standards with full support for Jupyter, APIs, and custom apps.
Drawbacks
While powerful, Graphistry Hub has a few limitations to be aware of.
Data Modeling Required
Users must understand how to map tabular data to graph structures, which may have a learning curve.
Resource Limits on Free Tier
Free accounts have limits on dataset size and feature access, requiring upgrade for enterprise usage.
Requires Internet Access
Being cloud-based, Graphistry Hub needs a stable internet connection. Sensitive data may require on-prem alternatives.
Specialized Use Case
Graph-based visual analytics may be overkill for simple dashboards or summary statistics.
Limited Reporting Tools
Graphistry is not a general BI tool—it focuses on exploration, not tabular reports or traditional KPIs.
Comparison with Other Tools
Graphistry Hub is often compared to platforms like Maltego, Linkurious, Neo4j Bloom, and Gephi.
Maltego is good for OSINT but lacks GPU acceleration and cloud collaboration.
Linkurious adds visualization to Neo4j but requires a separate backend and is less intuitive for no-code users.
Neo4j Bloom offers native visualization for graph databases but is tied to Neo4j’s ecosystem.
Gephi is suitable for academic exploration but lacks real-time interaction and cloud features.
Graphistry Hub stands out for ease of use, GPU performance, and browser-based collaboration, making it ideal for teams and organizations needing scalable visual investigations.
Customer Reviews and Testimonials
Graphistry Hub is used by cybersecurity teams, fraud departments, researchers, and analysts across government, enterprise, and academia.
User highlights include:
“We visualized 3 million records in seconds and spotted the issue immediately.”
“Graphistry Hub lets our analysts work together visually across locations.”
“The playbooks saved hours of repeated effort during investigations.”
“Our fraud team uncovered hidden links between accounts faster than ever.”
Its reputation as a visual thinking and investigation accelerator is consistently mentioned in industry use cases and publications.
Conclusion
Graphistry Hub combines the power of GPU acceleration, intuitive graph modeling, and cloud collaboration to deliver one of the most efficient platforms for large-scale visual investigation. Whether you’re analyzing cyber threats, detecting fraud, or exploring relational data, Graphistry Hub lets you see the full picture with speed and clarity.
