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Business productivity ⇄ Database

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

Keep GitHub and MariaDB 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 MariaDB

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

Syncing GitHub to MariaDB gives engineering-operations teams a queryable relational copy of development activity. GitHub Issues, Pull Requests, and Workflow runs (Actions) land in MariaDB Tables with proper Columns and Primary and Unique Keys, ready for SQL reporting and joins with internal data.

Stacksync mirrors Releases, Workflow runs (Actions), Organizations and Teams, Users from GitHub into Primary and Unique Keys, System-Versioned Tables, JSON Columns, Stored Procedures in MariaDB 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 Build custom dashboards over GitHub Pull Request throughput using MariaDB Views.
  • 02 Join GitHub Commits and Releases to internal deployment records stored in MariaDB.
  • 03 Answer historical questions about Issue states using System-Versioned Tables instead of the GitHub API.
  • 04 Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.

Common sync patterns

Engineering data mart

GitHub Repositories, Issues, and Pull Requests replicate into MariaDB Tables for SQL-based reporting.

CI history in SQL

GitHub Workflow runs (Actions) sync into MariaDB so build and deploy trends are queryable over time.

Point-in-time auditing

MariaDB System-Versioned Tables retain historical states of synced GitHub Issues and Releases for audit queries.

What you can sync between GitHub and MariaDB

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 MariaDB objects How this pairing syncs
Users Author and assignee identities matched to internal directories. Tables The primary sync target; rows map to records in connected systems. Users is specific to GitHub and Tables to MariaDB — 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. Views Read-side projections used as outbound sync sources. Labels and Milestones is specific to GitHub and Views to MariaDB — each maps to any object or custom field on the other side.
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Columns Field-level mapping targets with engine-typed values. Repositories is specific to GitHub and Columns to MariaDB — each maps to any object or custom field on the other side.
Issues Synced two-way with project trackers and support tools, including labels and assignees. Primary and Unique Keys Match keys for idempotent upserts. Issues is specific to GitHub and Primary and Unique Keys to MariaDB — 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. System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. Pull Requests is specific to GitHub and System-Versioned Tables to MariaDB — 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. JSON Columns Semi-structured payloads validated with JSON functions. Commits is specific to GitHub and JSON Columns to MariaDB — each maps to any object or custom field on the other side.

How changes propagate between GitHub and MariaDB

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

MariaDB GitHub Sub-second propagation

DetectionChanges in MariaDB 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.

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

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or MariaDB 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 MariaDB record.

Observability

Monitoring

Track your GitHub ⇄ MariaDB 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 MariaDB.

How the GitHub and MariaDB 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.

MariaDB

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

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

    Choose tables

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

GitHub and MariaDB 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 394 integrations available for GitHub and MariaDB.

Popular · 6 of 394
All GitHub integrations All MariaDB integrations Browse all integrations
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