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Business productivity ⇄ Database

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

Keep GitHub and MySQL 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 MySQL

Mirror GitHub's data into MySQL 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 MySQL.

Stacksync mirrors Labels and Milestones, Repositories, Issues, Pull Requests from GitHub into Tables, Views, Columns, Primary and Unique Keys in MySQL 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 Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • 02 Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
  • 03 Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical
  • 04 Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data

Common sync patterns

Read GitHub with a query

Records from GitHub are ordinary rows in MySQL; 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 MySQL 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 MySQL, so triggers, jobs, and services can respond in near real time.

What you can sync between GitHub and MySQL

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 MySQL objects How this pairing syncs
Commits Read-only history used to link code activity to tickets and releases. Triggers An alternative change-capture mechanism when binlog access is unavailable. Commits is specific to GitHub and Triggers to MySQL — each maps to any object or custom field on the other side.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Releases is specific to GitHub and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side.
Workflow runs (Actions) CI results synced into incident and reporting systems. Tables The primary sync target; rows map to records in connected systems. Workflow runs (Actions) is specific to GitHub and Tables to MySQL — 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. Views Read-side projections used as outbound sync sources. Organizations and Teams is specific to GitHub and Views to MySQL — each maps to any object or custom field on the other side.
Users Author and assignee identities matched to internal directories. Columns Field-level mapping targets with engine-typed values. Users is specific to GitHub and Columns to MySQL — each maps to any object or custom field on the other side.
Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Labels and Milestones is specific to GitHub and Primary and Unique Keys to MySQL — each maps to any object or custom field on the other side.

How changes propagate between GitHub and MySQL

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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.

MySQL GitHub Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with GitHub ⇄ MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or MySQL 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 MySQL record.

Observability

Monitoring

Track your GitHub ⇄ MySQL 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 MySQL.

How the GitHub and MySQL 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.

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

    Pick the GitHub and MySQL 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 ⇄ MySQL
    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 MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

GitHub and MySQL 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 497 integrations available for GitHub and MySQL.

Popular · 7 of 497
All GitHub integrations All MySQL integrations Browse all integrations
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