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Database ⇄ Business productivity

Firebase to GitHub integration — real-time, two-way sync

Keep Firebase and GitHub in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Firebase and GitHub

Mirror GitHub's data into Firebase so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like GitHub through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Firebase.

Stacksync mirrors Pull Requests, Commits, Releases, Workflow runs (Actions) from GitHub into Subcollections, Realtime Database Nodes, Authentication Users, Cloud Storage Objects in Firebase and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into GitHub, so the tool and the database never disagree.

Common use cases

  • 01 Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.
  • 02 Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • 03 Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
  • 04 Combine Firebase Authentication users with billing and CRM records into one customer table.

Common sync patterns

Automate GitHub from your codebase

Write to the synced tables in Firebase and Stacksync propagates the change into GitHub, replacing custom integration code.

React to changes as they happen

Updates in GitHub arrive as row changes in Firebase, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Firebase and GitHub

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Firebase objects GitHub objects How this pairing syncs
Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. Users Author and assignee identities matched to internal directories. Firestore Collections is specific to Firebase and Users to GitHub — each maps to any object or custom field on the other side.
Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Firestore Documents is specific to Firebase and Labels and Milestones to GitHub — each maps to any object or custom field on the other side.
Subcollections Nested collections under documents, typically flattened into related tables during sync. Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Subcollections is specific to Firebase and Repositories to GitHub — each maps to any object or custom field on the other side.
Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Issues Synced two-way with project trackers and support tools, including labels and assignees. Realtime Database Nodes is specific to Firebase and Issues to GitHub — each maps to any object or custom field on the other side.
Authentication Users User accounts read into CRMs and warehouses for customer records. Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Authentication Users is specific to Firebase and Pull Requests to GitHub — each maps to any object or custom field on the other side.
Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. Commits Read-only history used to link code activity to tickets and releases. Cloud Storage Objects is specific to Firebase and Commits to GitHub — each maps to any object or custom field on the other side.

How changes propagate between Firebase and GitHub

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Firebase GitHub Interval-based propagation

DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.

DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.

GitHub Firebase Sub-second propagation

DetectionGitHub notifies Stacksync of record changes through webhook events. Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases.

DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
What ships with Firebase ⇄ GitHub

Connect Firebase and GitHub for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–GitHub connection.

Real-time

Two-way sync

Changes in Firebase or GitHub instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebase or GitHub data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Firebase or GitHub record.

Observability

Monitoring

Track your Firebase ⇄ GitHub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Firebase and GitHub.

How the Firebase and GitHub connectors work

Firebase

Integration surface
REST and gRPC APIs, typically accessed through the Firebase Admin SDK
Authentication
Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
Change detection
Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
Capabilities
read · write
Rate limits
Subject to Firestore's documented operation quotas and per-document write throughput limits

GitHub

Integration surface
REST API and GraphQL API
Authentication
OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens
Change detection
Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill
Capabilities
read · write · webhooks
Rate limits
Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
How it works

How to connect Firebase to GitHub — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Firebase and GitHub with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Firebase connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebase and GitHub objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Firebase ⇄ GitHub
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Firebase GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebase and GitHub integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 483 integrations available for Firebase and GitHub.

Popular · 8 of 483
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