Real-time
Two-way sync
Changes in GitHub or MariaDB instantly reflect in both systems. No stale data, no manual imports.
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
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 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.
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 MariaDB.
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
- 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.
- Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
- Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
React to changes as they happen
Updates in GitHub arrive as row changes in MariaDB, 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.
Read GitHub with a query
Records from GitHub are ordinary rows in MariaDB; join them, index them, and use them in application logic without touching the vendor API.
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 | |
|---|---|---|
| Users Author and assignee identities matched to internal directories. | Tables The primary sync target; rows map to records in connected systems. | |
| Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. | Views Read-side projections used as outbound sync sources. | |
| Repositories Top-level containers whose metadata and settings syncs read to scope other objects. | Columns Field-level mapping targets with engine-typed values. | |
| Issues Synced two-way with project trackers and support tools, including labels and assignees. | Primary and Unique Keys Match keys for idempotent upserts. | |
| 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. | |
| Commits Read-only history used to link code activity to tickets and releases. | JSON Columns Semi-structured payloads validated with JSON functions. |
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.
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
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.
- 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.
GitHub
connected
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · GitHub ⇄ MariaDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
GitHub MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
GitHub and MariaDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between GitHub and MariaDB: authenticate both systems, choose the objects to sync (such as GitHub's Users and Labels and Milestones), map fields visually, and changes propagate both ways in milliseconds — no code required.
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GitHub: GitHub exposes both REST and GraphQL APIs over the same data; GraphQL allows fetching nested objects like a PR with its reviews in one request. MariaDB: MariaDB is protocol- and binlog-compatible with MySQL, so most MySQL drivers and CDC tooling work unchanged. Stacksync's field mapping accounts for these differences between GitHub and MariaDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means GitHub and MariaDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed GitHub and MariaDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom GitHub–MariaDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both GitHub and MariaDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on GitHub: Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill. On MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for GitHub and MariaDB.
Popular · 8 of 386
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GitHub ⇄ Amazon RDS -
GitHub ⇄ Supabase -
GitHub ⇄ MySQL -
GitHub ⇄ SQL Server -
MariaDB ⇄ Zendesk -
MariaDB ⇄ Campfire -
MariaDB ⇄ Front -
MariaDB ⇄ Amazon Seller Central
No integrations match .
