Skip to content
Business productivity ⇄ Database

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

Keep GitHub and PostgreSQL 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect GitHub and PostgreSQL

Mirror GitHub's data into PostgreSQL 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 PostgreSQL.

Stacksync mirrors Users, Labels and Milestones, Repositories, Issues from GitHub into Schemas, Columns, Primary and Unique Keys, JSONB Columns in PostgreSQL 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

  • Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.
  • Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • Consolidate data from several microservice databases into one operational Postgres store
  • Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts

Read GitHub with a query

Records from GitHub are ordinary rows in PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

Automate GitHub from your codebase

Write to the synced tables in PostgreSQL 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 PostgreSQL, so triggers, jobs, and services can respond in near real time.

What you can sync between GitHub and PostgreSQL

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 PostgreSQL objects
Workflow runs (Actions) CI results synced into incident and reporting systems. Sequences Generate surrogate keys for rows created by inbound syncs.
Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields.
Users Author and assignee identities matched to internal directories. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems.
Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Views Read-side projections used to expose joined or filtered data to a sync.
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Materialized Views Precomputed result sets synced outward on a refresh schedule.
Issues Synced two-way with project trackers and support tools, including labels and assignees. Schemas Namespaces that scope which tables a sync reads and writes.
What ships with GitHub ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your GitHub ⇄ PostgreSQL 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 PostgreSQL.

How the GitHub and PostgreSQL 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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect GitHub to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the GitHub and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

GitHub and PostgreSQL integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for GitHub and PostgreSQL.

Popular · 8 of 386
All GitHub integrations All PostgreSQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own