Real-time
Two-way sync
Changes in Citus or GitHub instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Citus to GitHub integration — real-time, two-way sync
Keep Citus 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Citus and GitHub
Mirror GitHub's data into Citus 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 Citus.
Stacksync mirrors Organizations and Teams, Users, Labels and Milestones, Repositories from GitHub into Sequences, Distributed tables, Reference tables, Local tables in Citus 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 Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
- 02 Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
- 03 Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
- 04 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
Common sync patterns
Automate GitHub from your codebase
Write to the synced tables in Citus and Stacksync propagates the change into GitHub, replacing custom integration code.
React to changes as they happen
Updates in GitHub arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.
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.
What you can sync between Citus 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.
| Citus objects | GitHub objects | How this pairing syncs | |
|---|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. | Local tables is specific to Citus and Releases to GitHub — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Workflow runs (Actions) CI results synced into incident and reporting systems. | Schemas is specific to Citus and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. | Views is specific to Citus and Organizations and Teams to GitHub — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Users Author and assignee identities matched to internal directories. | Sequences is specific to Citus and Users to GitHub — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. | Distributed tables is specific to Citus and Labels and Milestones to GitHub — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Repositories Top-level containers whose metadata and settings syncs read to scope other objects. | Reference tables is specific to Citus and Repositories to GitHub — each maps to any object or custom field on the other side. |
How changes propagate between Citus 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.
Citus GitHub Sub-second propagation
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.
GitHub Citus 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 Citus as a row-level write, with types converted between the two schemas.
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 Citus ⇄ GitHub
Connect Citus and GitHub for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–GitHub connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or GitHub record.
Observability
Monitoring
Track your Citus ⇄ GitHub sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and GitHub.
How the Citus and GitHub connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
GitHub
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ GitHubCustomers 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.
Citus GitHubCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and GitHub integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and GitHub: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). GitHub: REST API and GraphQL API. Authentication: OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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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. Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Stacksync's field mapping accounts for these differences between Citus and GitHub 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 Citus and GitHub 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 Citus and GitHub connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–GitHub integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and GitHub. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
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