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Business productivity ⇄ Data warehouse

GitHub to Google Cloud Platform integration — real-time, two-way sync

Keep GitHub and Google Cloud Platform 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 GitHub and Google Cloud Platform

Get the data locked inside GitHub into Google Cloud Platform as live tables, and send results back where GitHub can use them, without writing a pipeline.

Whatever GitHub is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Releases, Workflow runs (Actions), Organizations and Teams, Users from GitHub into tables in Google Cloud Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Google Cloud Platform can also be written back into fields in GitHub where the tool can use them.

Common use cases

  • 01 Publish release data into customer-communication tools when a new version ships.
  • 02 Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.
  • 03 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Where GitHub accepts updates: operational write-back

Segments, scores, or reference values computed in Google Cloud Platform sync back onto records in GitHub, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Google Cloud Platform preserves a queryable record even as data ages out of GitHub or gets changed inside it.

Analytics on GitHub's data

Records and events from GitHub land in Google Cloud Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between GitHub and Google Cloud Platform

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.

GitHub objects Google Cloud Platform objects How this pairing syncs
Issues Synced two-way with project trackers and support tools, including labels and assignees. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Issues is specific to GitHub and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Pull Requests is specific to GitHub and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.
Commits Read-only history used to link code activity to tickets and releases. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Commits is specific to GitHub and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Releases is specific to GitHub and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.
Workflow runs (Actions) CI results synced into incident and reporting systems. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Workflow runs (Actions) is specific to GitHub and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side.
Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Pub/Sub topics Event streams used to move change events between systems in near real time. Organizations and Teams is specific to GitHub and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between GitHub and Google Cloud Platform

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.

GitHub Google Cloud Platform 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 applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform GitHub Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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

Rate-limit considerations

  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with GitHub ⇄ Google Cloud Platform

Connect GitHub and Google Cloud Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or Google Cloud Platform 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 GitHub or Google Cloud Platform record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between GitHub and Google Cloud Platform.

How the GitHub and Google Cloud Platform connectors work

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.

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect GitHub to Google Cloud Platform — 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 GitHub and Google Cloud Platform 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
    GitHub connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the GitHub and Google Cloud Platform 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 · GitHub ⇄ Google Cloud Platform
    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
    GitHub Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

GitHub and Google Cloud Platform 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 490 integrations available for GitHub and Google Cloud Platform.

Popular · 8 of 490
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