Graphistry is a collaborative data analysis platform that transforms diverse data sources into interactive graphs using GPU-accelerated visual graph analytics, enabling analysts to uncover hidden connections and patterns without manual queries. The platform automates complex investigations through reusable templates, streamlining workflows for incident response, threat hunting, and fraud detection.
Funding
Funding not disclosed
Founders
Product
Problem
Analysts often struggle to uncover hidden connections and patterns within diverse data sources due to the limitations of manual queries and traditional data analysis methods. Existing tools often require extensive data wrangling and lack the ability to visually represent complex relationships, hindering efficient investigation and insight discovery.
Solution
Graphistry is a GPU-accelerated visual graph analytics platform that transforms diverse data sources into interactive graphs, enabling analysts to uncover hidden connections and patterns without manual querying. The platform supports visual querying, clustering, and filtering, allowing users to explore relationships, event progressions, and 360° views of entities. Visual investigation templates automate complex investigations through reusable workflows, streamlining processes for incident response, threat hunting, and fraud detection. Graphistry integrates seamlessly with existing data science and development ecosystems, offering APIs and embedding capabilities for integration into applications, dashboards, and notebooks.
Target Audience
Graphistry is designed for data analysts, security professionals, and data scientists who need to investigate complex relationships and patterns within large datasets for use cases like incident response, threat hunting, and fraud detection.
Features
- GPU-accelerated visual graph analytics for interactive exploration of large datasets
- Visual querying tools including clustering, histograms, timebars, and filters
- Automated investigation templates for repeatable and shareable workflows
- Seamless integration with Splunk, Pandas/Dask/RAPIDS, Jupyter, StreamLit, SQL, Spark, and CSVs
- API and embedding capabilities for integrating live graphs into applications and dashboards
- Option to run in the Graphistry cloud or on-premise via Docker, AWS/Azure, and air-gapped environments
- Graph Frame Query Language (GFQL) for graph queries on all data with automatic GPU acceleration