Real-time
Two-way sync
Changes in GitHub or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
GitHub to MongoDB integration — real-time, two-way sync
Keep GitHub and MongoDB 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 MongoDB
Mirror GitHub's data into MongoDB 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 MongoDB.
Stacksync mirrors Releases, Workflow runs (Actions), Organizations and Teams, Users from GitHub into GridFS files, Databases, Collections, Documents in MongoDB 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.
- Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
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 MongoDB; join them, index them, and use them in application logic without touching the vendor API.
Automate GitHub from your codebase
Write to the synced tables in MongoDB and Stacksync propagates the change into GitHub, replacing custom integration code.
What you can sync between GitHub and MongoDB
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 | MongoDB objects | |
|---|---|---|
| Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Repositories Top-level containers whose metadata and settings syncs read to scope other objects. | Databases Logical groupings of collections that scope a sync connection. | |
| Issues Synced two-way with project trackers and support tools, including labels and assignees. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | |
| Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| Commits Read-only history used to link code activity to tickets and releases. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. | Indexes Keep lookups by sync key fast on large collections. |
What ships with GitHub ⇄ MongoDB
Connect GitHub and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every GitHub–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever GitHub or MongoDB 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 MongoDB record.
Observability
Monitoring
Track your GitHub ⇄ MongoDB 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 MongoDB.
How the GitHub and MongoDB 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.
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect GitHub to MongoDB — 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 MongoDB 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
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the GitHub and MongoDB 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 ⇄ MongoDBCustomers 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 MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
GitHub and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between GitHub and MongoDB: authenticate both systems, choose the objects to sync (such as GitHub's Labels and Milestones and Repositories), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 MongoDB 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 MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom GitHub–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both GitHub and MongoDB. 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 MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the GitHub side: Releases, Workflow runs (Actions), Organizations and Teams, Users, plus custom fields where GitHub exposes them. On the MongoDB side: GridFS files, Databases, Collections, Documents. Stacksync auto-detects both schemas and converts types between the two systems.
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 MongoDB.
Popular · 8 of 386
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GitHub ⇄ DuckDB -
GitHub ⇄ Elasticsearch -
GitHub ⇄ Google Cloud Spanner - GitHub ⇄ Google Cloud SQL
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MongoDB ⇄ Resend - MongoDB ⇄ ServiceNow
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MongoDB ⇄ Slack -
MongoDB ⇄ Zendesk
No integrations match .
