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Documentation Index

Fetch the complete documentation index at: https://docs.firebolt.io/llms.txt

Use this file to discover all available pages before exploring further.

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Embeddable integration with Firebolt

Embeddable is a developer-first toolkit for building lightning-fast, fully-custom analytics directly inside your product. Its headless architecture lets you craft analytics that look and feel native, while product, data, and customer-facing teams can iterate on dashboards without engineering bottlenecks. When paired with Firebolt, Embeddable lets you serve interactive dashboards over huge datasets while keeping millisecond-level response times for your end-users.

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Prerequisites

Embeddable is a managed SaaS platform, so most deployment tasks are handled for you. You’ll need:
Network policyEnsure the service account’s network policy allows ingress from the fixed Embeddable IP ranges.

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Quick-start

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1. Set up your Embeddable account

Follow the Quickstart Guide to set up your Embeddable workspace and local environment.

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2. Connect Firebolt

Use the Connections API to connect Firebolt, obtaining your API key from the homepage of your Embeddable workspace. 
// Example only — store Embeddable API keys and Firebolt credentials securely (env vars or a secrets manager), not in source control.
const apiKey = '<your API Key>';
const connectionName = 'firebolt-prod';
const baseUrl = 'https://api.<your-region>.embeddable.com';

const resp = await fetch(`${baseUrl}/api/v1/connections`, {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${apiKey}`,
  },
  body: JSON.stringify({
    name: connectionName,
    type: 'firebolt',
    credentials: {
      database: '<your Firebolt database name>',
      account: '<your account name>',
      engine_name: '<your Firebolt engine name>',
      id: '<your service account ID>',
      secret: '<your service account secret>',
    },
  }),
});

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3. Define your data models

You can now define your data models in preparation for building customer-facing dashboards, and test these in the Data Playground tab of your Embeddable workspace.

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Next steps

Congratulations! You’re now ready to model, visualize, and embed. Further reading