Sold by: GraphistryÂ
Deployed on AWS
100X Investigative power with Graphistry's best-in-class visual graph analytics and investigation automation. Start surfacing the stories in your data with GPU-accelerated visual analytics, enterprise-grade graph support, point-and-click automation, RAPIDS GPU Jupyter notebooks, and web developer AP
Overview
Investigate and automate with best-in-class GPU visual graph analytics and automation. Whether you are an analyst, researcher, or developer, explore your data as a graph with a few nodes and edges.. to millions!
AWS MARKETPLACE
- Private: Runs in your AWS account
- Starts at $1.47/hr for individuals: g4dn.xlarge
- Pay-as-you-go: Part of your regular AWS bill; stop/start AMI to toggle utilization
- Contact for tailored discounts
- AWS-Ready: Drivers, patches, log forwarding, auto-healing, TLS, & more
2.0 ENGINE W/ RAPIDS
- Multi-GPU client/coud
- Rich visual analytics: Point-and-click time bars, search, coloring, clustering, & more
- Explore CSVs, Splunk/ELK/Kusto, SQL/Spark/Impala, Neo4j/Neptune/JanusGraph/TigerGraph/DSE Graph, Pandas/NetworkX, & more
FOR ANALYSTS
- Go from raw data to insights
- Explore data that is non-graph, large, or complex
- Save, share, and embed your sessions
- Automate without coding by turning any investigation into a template
- Jupyter notebooks setup with secure login, PyGraphistry, Nvidia RAPIDS, & examples
FOR DEVELOPERS
- Python, JS, React, & REST (all languages)
- Embed stunning and full-featured visual graph analytics
- Embed automation deep links anywhere
- Prototype and iterate same-day with PyGraphistry
For enterprise teams needing on-prem, airgapping, orchestration, and support services such as resiliency, solutions, & training, see our homepage.
Launch walkthrough: https://www.graphistry.com/blog/marketplace-tutorialÂ
Highlights
- Connect, explore, correlate, and automate without coding
- Scale with the only GPU client<>cloud engine
- Rapidly prototype with secured RAPIDS-ready Jupyter notebooks and web embedding APIs
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04.4 LTS
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.2xlarge Recommended | $10.00 |
g4dn.4xlarge | $10.00 |
p3dn.24xlarge | $26.20 |
g4dn.8xlarge | $10.00 |
p3.2xlarge | $10.00 |
p3.16xlarge | $26.20 |
p4d.24xlarge | $26.20 |
g4dn.metal | $26.20 |
p3.8xlarge | $18.20 |
g4dn.xlarge | $1.47 |
Vendor refund policy
No refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
v2.43.6 - 2025.08.15
Infra
- Upgraded to CUDA 12.8 with RAPIDS 25.02, PyTorch 2.7.0, and Ubuntu 24.04 to support Blackwell GPUs (CUDA 11.8 with PyTorch 2.4.1 available on-demand for legacy compatibility)
- Adds pgvector v0.8.0 extension to PostgreSQL container for vector similarity search and provide automatic initialization script to enable vector extension in all databases.
Versions
- pygraphistry: 0.39.1 (was 0.36.1). Added initial Kusto connector and support for some third-party namespaces in Sentence Transformers and improve the GFQL support.
Features
- Enhanced visualization customization through URL-encoded JSON configuration.
- Added support for collections in URL parameters.
- Improvement to collections UX.
- Added a permitted_type filter on the dataset list page (see RFC Gallery Visibility for details).
- Switching the active organization will now reset all filters on the dataset list page.
- Added a Reset button to the dataset list page to clear filters, and renamed the Filter button to Apply.
- Also added Reset and Apply buttons to the file and UDFs pages for consistent filtering behavior.
- Add UI for display link to sign-in when unauthenticated and disable the download button.
- Added GFQL query builder for collections to simplify creating and editing collections GFQL queries based on node and edge attributes.
- Added support for various operators in the query builder including equals, less than, greater than, less than or equal to, and greater than or equal to.
- Made expiry_date in the Invitation model functional.
- Added an inviter field to the Invitation model. Only the user who created the invitation (the inviter), or the organization's owner, can view the invitation link.
- Added a inviter field and expired field to the Invitation admin.
- Add expiry date and inviter to the OrganizationInvitationTable.
- Added a new field name enable_unauth_download_dataset in Organization to control public dataset downloads.
- When enabled, unauthenticated users are permitted to download datasets.
Fix
- Added new environment variable to the .env which is passed to graph-app-kit containers on start to override default mode of private for visualizations
- Improved stability and performance when uploading data with timestamp columns.
- Fixed an issue where organization admins could not view datasets belonging to their own organization; now they can correctly access all datasets where organization = admin org.
- Fix collections not working if dataset is not public.
- Fix incorrect default GFQL templates for edge collections.
- Fix incorrectly rendered edge colours when rendering collections including edge colour encodings.
- Fix sharedlink privacy policy: set to PRIVATE when org is personal, otherwise ORGANIZATION.
- Fix multiselect filter and exclude.
- Fix org member page issue.
- Fix issue where "User logo as watermark" had to be true during organization creation.
- Added email field, first name, last name in the profile update page to allow user to edit
- Add sidebar toggle button to workaround sidebar blocking problem in mobile view
- Updated documentation link for system email setup: from docs/email.md to docs/app-config/email.md
- Refactored message rendering: removed from base.html and added to specific pages to avoid multiple message rendering.
- Fix some stripe_checkout bug (invalid organization and email)
- Enforced uniqueness of non-empty user email addresses; empty emails are still allowed.
- Blocked the reuse of invitation links.
- Filter all expired and has used invitation link.
- When an invitation is created and the user signs up via SSO (e.g., Okta), they are automatically added as a member, without needing to accept the invitation. The invitation will marked as used (has_used=True).
- If a member has already created an invitation link for UserA, and another member later creates a new invitation link for the same user, both links can coexist. When UserA uses one of the links to join, the other will remain unused and won't be marked as has_used it will stay valid until it expires.
- Prevent creating an invitation again for a user who is already a member.
- When a user creates multiple invitation links with same invited user, the system will reuse the original link by updating the UUID, expiry date, and invited date (not include inviter).
- Display multiple invitation links when inviting multiple users at once, and added the permission to display these links.
- Prevented erroneous "email already exists" validation error when the submitted email field is empty.
- Allow the inviter to delete invitation links, not just organization admins.
- Prevent exceeding the remaining seat count when adding multiple invitation links at once.
- Visual Encodings Now Load Consistently: Fixed a long-standing race condition that prevented visual encodings (colors, sizes, transparency) from loading in graphs. This visualization quality issue has been affecting the product and is now resolved, ensuring users will see their color and size mappings consistently load.
Additional details
Usage instructions
LAUNCH Note: if you have an issue logging into the Graphistry instance after launching the AMI, it may be because the IMDSv1 metadata service has been disabled, and we have created a patch which will be available in the next release. You can either enable IMDSv1 metadata service prior to creating the instance, or if that's not an option, please contact support@graphistry.com for instructions to reset the admin password. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-IMDS-new-instances.htmlÂ
- Launch and go to the homepage at the AWS instance's public IP (use http, not https). The services may take 2-5 minutes to launch and will display loading warnings in the meanwhile. Make sure you are using a GPU server (g4dn., p3.). Worst-case, reboot.
- Log in with 'admin' / 'i-your_instance_id'
- Continue on to the notebook tutorials or file uploader; create accounts for the rest of your team; explore the documentation
Quick links:
- AWS launch walkthrough tutorial and videos: https://www.graphistry.com/blog/marketplace-tutorialÂ
- Your first visualization - File Uploader tutorial: https://www.graphistry.com/blog/graphistry-importer-visually-explore-the-relationships-in-any-csv-xls-with-gpu-graph-analytics-and-no-coding-demo-analyzing-honeypot-device-logsÂ
- Documentation: https://hub.graphistry.com/docsÂ
- AWS Marketplace administration: https://github.com/graphistry/graphistry-cli/blob/master/docs/aws_marketplace.mdÂ
- General advanced administration: https://github.com/graphistry/graphistry-cliÂ
RESTART Use AWS console to stop/start/restart, or SSH in and run cd graphistry && sudo docker-compose restart
CONFIGURE
- Recommended: Associate a stable domain name + static Elastic IP with your instance
- See more, including custom domain names, at https://github.com/graphistry/graphistry-cliÂ
Contact options for features & support: https://www.graphistry.com/support - we'd love to help!
Resources
Vendor resources
Support
Vendor support
Online Support support@graphistry.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
AI generated from product descriptions
Graph Analytics Engine
GPU-accelerated visual graph analytics platform with multi-GPU support
Data Source Compatibility
Supports diverse data sources including CSVs, SQL, Spark, Neo4j, Pandas, and graph databases
Visualization Capabilities
Interactive visual analytics with point-and-click time bars, search, coloring, and clustering features
Development Integration
Provides Python, JavaScript, React, and REST APIs for embedding graph analytics
Automation Framework
No-code investigation automation with ability to transform analytics sessions into reusable templates
Data Source Connectivity
Pre-built API connections for seamless integration with multiple security platforms and cloud services
Federated Search Mechanism
Automated search planning, translation, execution, and result normalization across distributed security data sources
Graph Visualization
Interactive graph-based result visualization enabling context gathering and relationship mapping
Multi-Source Search Capability
Single search interface for querying security-relevant data across decentralized storage environments
Search Result Normalization
Intelligent result joining and filtering into a standardized data model for consistent analysis
Computer Vision Defect Detection
Advanced AI-driven system for identifying and analyzing visual defects in production environments
Production Line Monitoring
Real-time AI-powered command center for continuous tracking of manufacturing processes and compliance
Data Preparation Tools
Advanced data curation, annotation, and synthetic data generation capabilities for computer vision model development
Image Capturing System
Programmable image capture technology with AI-enhanced visual analysis and inspection capabilities
Model Training Platform
Intelligent AI platform that simplifies computer vision model development through interactive training approaches
Standard contract
No
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