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Data warehouse ⇄ Business productivity

Azure Synapse Analytics to GitHub integration — real-time, two-way sync

Keep Azure Synapse Analytics and GitHub 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 Azure Synapse Analytics and GitHub

Get the data locked inside GitHub into Azure Synapse Analytics 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 Issues, Pull Requests, Commits, Releases from GitHub into tables in Azure Synapse Analytics continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Azure Synapse Analytics can also be written back into fields in GitHub where the tool can use them.

Common use cases

  • Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.
  • Publish release data into customer-communication tools when a new version ships.
  • Load CRM and ERP records into Synapse dedicated SQL pool tables for enterprise reporting.
  • Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.

Analytics on GitHub's data

Records and events from GitHub land in Azure Synapse Analytics 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 Azure Synapse Analytics sync back onto records in GitHub, putting analysis where the work happens.

What you can sync between Azure Synapse Analytics and GitHub

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.

Azure Synapse Analytics objects GitHub objects
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Repositories Top-level containers whose metadata and settings syncs read to scope other objects.
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Issues Synced two-way with project trackers and support tools, including labels and assignees.
Views Curated projections used when downstream tools should not read base tables directly. Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools.
Schemas Namespaces that separate staging, integration, and presentation layers. Commits Read-only history used to link code activity to tickets and releases.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Workflow runs (Actions) CI results synced into incident and reporting systems.
What ships with Azure Synapse Analytics ⇄ GitHub

Connect Azure Synapse Analytics and GitHub for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics or GitHub 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 Azure Synapse Analytics or GitHub record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ GitHub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and GitHub.

How the Azure Synapse Analytics and GitHub connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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.
How it works

How to connect Azure Synapse Analytics to GitHub — 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 Azure Synapse Analytics and GitHub 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
    Azure Synapse Analytics connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Synapse Analytics and GitHub 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 · Azure Synapse Analytics ⇄ GitHub
    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
    Azure Synapse Analytics GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and GitHub 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 Azure Synapse Analytics and GitHub.

Popular · 8 of 386
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