Name: Graphistry
Author: Graphistry Cloud

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Graphistry is a visual graph intelligence platform that claims to transform big or complex data into interactive, visual maps. According to the vendor, it is designed to help analysts quickly surface relationships between events and entities, without the need for manual queries or data wrangling. The platform is said to be suitable for a range of investigations, including security and fraud, IT operations, and customer analytics.

## Key Features

**Data Integrations**: Graphistry supports data integrations with a wide range of sources such as Splunk, Pandas/Dask/RAPIDS, Jupyter, StreamLit, SQL, Spark, XLS/CSVs, and more. According to the vendor, analysts can connect and automatically query across various data sources, including SIEM logs, SQL databases, CSV exports, and Pandas dataframes, without the need for manual queries. The platform claims to enable users to see hidden connections across all their data sources, allowing for a comprehensive analysis without switching between different tools.

**Visual Querying**: Graphistry provides visual querying capabilities that allow analysts to explore their data visually and interactively. Users can leverage features like clustering, histograms, timebars, filters, search, and summaries to gain insights from their data. According to the vendor, the platform enables analysts to visually pivot through multiple data sources using GPU-accelerated visual graph analytics, making it easier to identify relationships, event progression, and 360° views of entities or events.

**Templates**: Graphistry allows users to turn recurring analyst workflows into reusable, guided investigations using visual templates. According to the vendor, analysts can automate the gathering of data, correlation, analysis, and actions, and create step-by-step interactive maps that guide them through complex investigations. Templates can be easily shared, allowing junior analysts to follow the workflows and best practices established by senior analysts.

**Report Easily**: Graphistry enables users to save their complete interactive session and easily share it within and across teams. Analysts can annotate and document their investigation steps, making it easier to reproduce and share findings. The platform supports reporting capabilities, according to the vendor, allowing users to generate reports based on their investigation sessions.

**APIs & Embedding**: Graphistry provides APIs and embedding capabilities, allowing users to embed live graphs into their applications, dashboards, or notebooks. Analysts can integrate Graphistry's visual analytics into their own software, dashboards, or notebooks using easy-to-use visual analytics libraries. The platform claims to support integration with popular tools and frameworks such as Jupyter notebooks, Streamlit Python data apps, React, JavaScript, HTML web apps, and Microsoft PowerBI.

**Run in our cloud or yours**: Graphistry can be run in the cloud or on-premises, providing flexibility to users. The platform supports deployment options such as Docker, AWS/Azure, and air-gapping, ensuring compatibility with different infrastructure setups. Users can access Graphistry through any standard browser, according to the vendor, making it accessible from anywhere.

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Data virtualization tools provide a virtual abstraction layer for multiple sources of data without copying or moving the data. This layer hides the technical aspects of stored data like location, structure, access language and storage technology. Data virtualization tools allow many different data sources to act as a single, consistent source for data consumers.

Data Virtualization

Graphistry Cloud

Data Visualization

Data Visualization software features help clients and businesses better visualize and present data.

Data Visualization Options

Provides a wide range of customizable data visualization options such as charts, graphs, maps, and tables to effectively present data.

Interactivity

Enables users to interact with the visualizations by clicking, hovering, zooming, or filtering to explore the data further.

Data Import and Export

Allows users to easily import data from various sources like databases, spreadsheets, CSV files, and APIs, and export visualizations for sharing or further analysis.

Dashboard Creation

Allows users to create interactive dashboards by combining multiple visualizations and data components into a single layout for a comprehensive view of data.

Customization Capabilities

Offers options to customize colors, styles, labels, fonts, and other design elements to tailor visualizations to specific needs and branding.

Data Filtering and Sorting

Enables users to filter and sort data within visualizations based on specific criteria to focus on relevant information and trends.

Project Collaboration Tools

Provides features for multiple users to collaborate on data visualizations simultaneously, share insights, and work on projects together.

Real-time Data Updates

Supports real-time data streaming and updates to ensure that visualizations reflect the most current information and changes.

Cross-platform Accessibility

Allows users to access and view data visualizations on different devices and platforms such as desktops, tablets, and smartphones.

Data Analytics Integration

Integrates with data analytics tools and platforms to perform advanced data analysis, derive insights, and enhance visualization capabilities.

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Graphistry

Overview

What is Graphistry?