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Business productivity ⇄ Database

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

Keep GitHub and TimescaleDB 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 TimescaleDB

Mirror GitHub's data into TimescaleDB 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 TimescaleDB.

Stacksync mirrors Labels and Milestones, Repositories, Issues, Pull Requests from GitHub into Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB 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

  • Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
  • Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.
  • Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
  • Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.

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 TimescaleDB; 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 TimescaleDB and Stacksync propagates the change into GitHub, replacing custom integration code.

What you can sync between GitHub and TimescaleDB

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 TimescaleDB objects
Users Author and assignee identities matched to internal directories. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Views Standard SQL views used to shape or filter data for consumers.
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Schemas Postgres namespaces used to separate synced datasets by team or environment.
Issues Synced two-way with project trackers and support tools, including labels and assignees. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Commits Read-only history used to link code activity to tickets and releases. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.
What ships with GitHub ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your GitHub ⇄ TimescaleDB 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 TimescaleDB.

How the GitHub and TimescaleDB 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.

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

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

    Choose tables

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

GitHub and TimescaleDB 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.

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 TimescaleDB.

Popular · 8 of 386
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