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Business productivity ⇄ Data warehouse

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

Keep GitHub and MotherDuck 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
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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect GitHub and MotherDuck

Get the data locked inside GitHub into MotherDuck 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 Organizations and Teams, Users, Labels and Milestones, Repositories from GitHub into tables in MotherDuck continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in MotherDuck can also be written back into fields in GitHub where the tool can use them.

Common use cases

  • 01 Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
  • 02 Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.
  • 03 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
  • 04 Sync modeled MotherDuck tables outward to operational tools for activation

Common sync patterns

Analytics on GitHub's data

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

Cross-tool reporting

Combine GitHub's data with data from every other synced system to answer questions no single tool can.

Where GitHub accepts updates: operational write-back

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

What you can sync between GitHub and MotherDuck

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 MotherDuck objects How this pairing syncs
Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Database Shares Read-only copies of a database shared with other users or teams. Labels and Milestones is specific to GitHub and Database Shares to MotherDuck — 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. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Repositories is specific to GitHub and Attached Local DuckDB Databases to MotherDuck — 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. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Issues is specific to GitHub and Databases to MotherDuck — 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. Schemas Namespaces within a database used to organize synced tables. Pull Requests is specific to GitHub and Schemas to MotherDuck — 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. Tables The main landing target for synced records and source for analysis. Commits is specific to GitHub and Tables to MotherDuck — each maps to any object or custom field on the other side.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Views Modeled projections used as outbound sync sources. Releases is specific to GitHub and Views to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between GitHub and MotherDuck

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

MotherDuck GitHub Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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.
  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with GitHub ⇄ MotherDuck

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or MotherDuck 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 MotherDuck record.

Observability

Monitoring

Track your GitHub ⇄ MotherDuck 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 MotherDuck.

How the GitHub and MotherDuck 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.

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

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

    Choose tables

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

GitHub and MotherDuck 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 400 integrations available for GitHub and MotherDuck.

Popular · 7 of 400
All GitHub integrations All MotherDuck integrations Browse all integrations
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