In today's data-driven world, we're swimming in information. We have spreadsheets, databases, and tables filled with rows and columns. But here's the catch: while these tools are great for storing lists, they often fail to reveal the most valuable information of all—the relationships between the data points. The connections, dependencies, and hidden networks are where the real insights lie.
What if you could see your data not as a flat table, but as a living, interconnected network? That's the power of graph visualization, and graph.do is here to make it simpler than ever.
Think about trying to understand a social network using a spreadsheet. You could have a list of users in one column and their friends in another. But how do you quickly see who the most influential person is? Who connects two otherwise separate groups? Answering these questions requires complex queries, multiple joins, and a lot of manual effort. The tool itself gets in the way of the insight.
This problem extends far beyond social media:
Traditional tools make this relationship analysis incredibly difficult because they weren't designed to prioritize connections.
A graph is a powerful and intuitive way to represent connected data. It consists of two simple elements:
By mapping your data this way, you create a network graph. Suddenly, complex systems become clear. You can visually identify clusters, find the shortest path between two points, and spot critical vulnerabilities or opportunities that were previously invisible.
Understanding the power of graphs is one thing; implementing them is another. Traditional graph database technologies can be complex, requiring specialized knowledge and significant setup.
This is where graph.do changes the game.
graph.do is an agentic workflow platform that abstracts away the complexity. It delivers graphs as a service, allowing you to go from raw data to a stunning, interactive data visualization with a remarkably simple graph API.
Don't just take our word for it. See how easy it is to create and visualize a graph with just a few lines of code:
import { graph } from '@do/sdk';
// Agentically create and visualize a graph
const myGraph = await graph.create({
name: 'Social Network',
nodes: [
{ id: 'alice', label: 'Alice', properties: { profession: 'Engineer' } },
{ id: 'bob', label: 'Bob', properties: { profession: 'Designer' } },
],
edges: [
{ from: 'alice', to: 'bob', label: 'colleagues' },
],
});
console.log(myGraph.url); // Returns a URL to the interactive graph visualization
With this simple command, graph.do handles the backend modeling, querying, and hosting, instantly providing you with a shareable URL to an interactive visualization of your data.
1. Simplicity is an Advantage: You don't need to be a graph database expert. Our high-level API lets you focus on your data and the insights you want to uncover, not the underlying infrastructure.
2. Seamless Integration: Your data doesn't live in a vacuum. graph.do provides flexible ingestion APIs, allowing you to connect to existing databases, data lakes, or even stream real-time data to build and update your graphs on the fly.
3. Built for Scale: Worried about performance? Our cloud-native architecture is designed to handle massive datasets. Agents automatically optimize data handling, queries, and rendering to ensure a smooth experience, even with millions of nodes and edges.
4. From Data to Decision, Faster: By turning complex lists and tables into actionable network graphs, you empower your team to make better, more informed decisions. You stop guessing about connections and start seeing them clearly.
What kind of data is a good fit for graph.do?
Any dataset with interconnected entities is perfect for graph.do. This includes social networks, infrastructure maps, supply chains, knowledge graphs, and fraud detection systems. If the relationships in your data matter, graph.do can help.
Is graph.do a graph database?
graph.do is an agentic workflow platform that simplifies the entire process of building and analyzing graphs. It can use popular graph databases (like Neo4j) as a backend, but provides a much simpler, high-level API to deliver graphs as a service.
How does graph.do handle large-scale graphs?
Our platform is built on a scalable, cloud-native architecture. Agents automatically optimize data handling, queries, and rendering to ensure high performance, even with millions of nodes and edges.
The most profound insights are hiding in plain sight—in the connections your spreadsheets can't show you. It's time to move beyond flat data and embrace the power of relationships.
Ready to transform your complex data into powerful, interactive graphs?
Visit graph.do to get started and build your first graph in minutes.