Real-time
Two-way sync
Changes in GitHub or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
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.
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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
- 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 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 04 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Users is specific to GitHub and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Labels and Milestones is specific to GitHub and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Repositories is specific to GitHub and Schemas to TimescaleDB — 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Issues is specific to GitHub and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Pull Requests is specific to GitHub and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Commits is specific to GitHub and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between GitHub and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB GitHub Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
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.
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.
- 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.
GitHub
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · GitHub ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
GitHub and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between GitHub and TimescaleDB: authenticate both systems, choose the objects to sync (such as GitHub's Users and Labels and Milestones), map fields visually, and changes propagate both ways in milliseconds — no code required.
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GitHub: GitHub exposes both REST and GraphQL APIs over the same data; GraphQL allows fetching nested objects like a PR with its reviews in one request. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between GitHub and TimescaleDB without custom code.
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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 TimescaleDB 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 TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom GitHub–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both GitHub and TimescaleDB. 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 TimescaleDB: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 382 integrations available for GitHub and TimescaleDB.
Popular · 8 of 382
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GitHub ⇄ Supabase -
GitHub ⇄ MySQL -
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TimescaleDB ⇄ Ironclad -
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TimescaleDB ⇄ Asana
No integrations match .
