Skip to content
Business productivity ⇄ Data warehouse

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

Keep GitHub and Materialize 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 Materialize

Get the data locked inside GitHub into Materialize 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 Commits, Releases, Workflow runs (Actions), Organizations and Teams from GitHub into tables in Materialize continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Materialize 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 Read computed view results back into a CRM or application database as derived fields.
  • 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

Common sync patterns

Analytics on GitHub's data

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

What you can sync between GitHub and Materialize

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 Materialize objects How this pairing syncs
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Repositories is specific to GitHub and Materialized Views to Materialize — 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. Sinks Outbound connections that emit view changes to Kafka topics. Issues is specific to GitHub and Sinks to Materialize — 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. Indexes In-memory arrangements that make view reads fast for serving workloads. Pull Requests is specific to GitHub and Indexes to Materialize — 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. Clusters Compute pools that isolate ingestion, view maintenance, and serving. Commits is specific to GitHub and Clusters to Materialize — each maps to any object or custom field on the other side.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Connections & Secrets Stored credentials and endpoints used by sources and sinks. Releases is specific to GitHub and Connections & Secrets to Materialize — each maps to any object or custom field on the other side.
Workflow runs (Actions) CI results synced into incident and reporting systems. Schemas & Databases Namespaces that organize objects a sync targets. Workflow runs (Actions) is specific to GitHub and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.

How changes propagate between GitHub and Materialize

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

Materialize GitHub Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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.
What ships with GitHub ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or Materialize 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 Materialize record.

Observability

Monitoring

Track your GitHub ⇄ Materialize 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 Materialize.

How the GitHub and Materialize 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.

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

    Pick the GitHub and Materialize 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 ⇄ Materialize
    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 Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

GitHub and Materialize 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 388 integrations available for GitHub and Materialize.

Popular · 7 of 388
All GitHub integrations All Materialize integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own