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Database ⇄ Business productivity

Amazon RDS to GitHub integration — real-time, two-way sync

Keep Amazon RDS 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 Amazon RDS and GitHub

Mirror GitHub's data into Amazon RDS so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Teams sync GitHub into Amazon RDS to analyze engineering activity with SQL. Issues, Pull Requests, and Workflow runs become RDS Tables, so development metrics can be queried and joined with other business data.

Stacksync mirrors Commits, Releases, Workflow runs (Actions), Organizations and Teams from GitHub into Tables, Views, Columns, Primary and Unique Keys in Amazon RDS 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

  • 01 Query Pull Request throughput across Repositories without the GitHub API.
  • 02 Correlate Workflow run failures with Commits in a relational schema.
  • 03 Build Issue backlog dashboards from RDS Views.
  • 04 Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.

Common sync patterns

Engineering metrics warehouse

Pull Requests, Commits, and Issues sync into RDS Tables for cycle-time queries.

CI monitoring

Workflow runs from Actions land in RDS so failure rates can be tracked in SQL.

Release tracking

Releases per Repository sync to an RDS Table that feeds change logs and reports.

What you can sync between Amazon RDS 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.

Amazon RDS objects GitHub objects How this pairing syncs
Databases Engine-level databases on the instance that scope a sync's reads and writes. Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Databases is specific to Amazon RDS and Releases to GitHub — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables. Workflow runs (Actions) CI results synced into incident and reporting systems. Schemas is specific to Amazon RDS and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side.
Tables The core sync target; rows map to records in connected SaaS systems. Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Tables is specific to Amazon RDS and Organizations and Teams to GitHub — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. Users Author and assignee identities matched to internal directories. Views is specific to Amazon RDS and Users to GitHub — each maps to any object or custom field on the other side.
Columns Field-level mapping targets, typed per the underlying engine. Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Columns is specific to Amazon RDS and Labels and Milestones to GitHub — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts. Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Primary and Unique Keys is specific to Amazon RDS and Repositories to GitHub — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and GitHub

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.

Amazon RDS GitHub Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.

GitHub Amazon RDS 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 Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
What ships with Amazon RDS ⇄ GitHub

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or GitHub record.

Observability

Monitoring

Track your Amazon RDS ⇄ GitHub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon RDS and GitHub.

How the Amazon RDS and GitHub connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection limits

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 Amazon RDS 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 Amazon RDS 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
    Amazon RDS connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS 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 · Amazon RDS ⇄ 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
    Amazon RDS GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and GitHub 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 405 integrations available for Amazon RDS and GitHub.

Popular · 6 of 405
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