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Business productivity ⇄ Database

GitHub to SQL Server integration — real-time, two-way sync

Keep GitHub and SQL Server 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 SQL Server

Mirror GitHub's data into SQL Server 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 SQL Server.

Stacksync mirrors Users, Labels and Milestones, Repositories, Issues from GitHub into Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases in SQL Server 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

  • Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
  • Feed a cloud warehouse from SQL Server continuously using native CDC instead of SSIS batch jobs
  • Consolidate branch or plant databases into a single operational SQL Server hub

React to changes as they happen

Updates in GitHub arrive as row changes in SQL Server, 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 SQL Server; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between GitHub and SQL Server

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 SQL Server objects
Workflow runs (Actions) CI results synced into incident and reporting systems. Stored Procedures T-SQL logic that can validate or post-process synced rows.
Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Databases Instance-level databases that scope a sync's reads and writes.
Users Author and assignee identities matched to internal directories. Schemas Namespaces (dbo and custom) used to organize synced tables.
Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Tables The primary sync target; rows map to records in connected systems.
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Views Read-side projections used as outbound sync sources.
Issues Synced two-way with project trackers and support tools, including labels and assignees. Columns Field-level mapping targets with T-SQL types.
What ships with GitHub ⇄ SQL Server

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your GitHub ⇄ SQL Server 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 SQL Server.

How the GitHub and SQL Server 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.

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

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

    Choose tables

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

GitHub and SQL Server 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 SQL Server.

Popular · 8 of 386
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