Two-way sync
Changes in GitHub or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep GitHub and Google Cloud Spanner in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Google Cloud Spanner.
Stacksync mirrors Pull Requests, Commits, Releases, Workflow runs (Actions) from GitHub into Change streams, Views, Databases, Tables in Google Cloud Spanner 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.
Write to the synced tables in Google Cloud Spanner and Stacksync propagates the change into GitHub, replacing custom integration code.
Updates in GitHub arrive as row changes in Google Cloud Spanner, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Google Cloud Spanner objects | |
|---|---|---|
| Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. | Rows The unit of read and write in each sync cycle, keyed by primary key. | |
| Users Author and assignee identities matched to internal directories. | Interleaved tables Child rows physically co-located with parents; synced as related records. | |
| Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | |
| Repositories Top-level containers whose metadata and settings syncs read to scope other objects. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | |
| Issues Synced two-way with project trackers and support tools, including labels and assignees. | Views Read-only projections useful for shaping data before it leaves Spanner. | |
| Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. | Databases Top-level containers that scope schema and sync configuration. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every GitHub–Google Cloud Spanner connection.
Changes in GitHub or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever GitHub or Google Cloud Spanner data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single GitHub or Google Cloud Spanner record.
Track your GitHub ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between GitHub and Google Cloud Spanner.
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.
Authenticate GitHub and Google Cloud Spanner with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the GitHub and Google Cloud Spanner 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between GitHub and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as GitHub's Organizations and Teams and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the GitHub side: Pull Requests, Commits, Releases, Workflow runs (Actions), plus custom fields where GitHub exposes them. On the Google Cloud Spanner side: Change streams, Views, Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for GitHub and Google Cloud Spanner: Automate GitHub from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Google Cloud Spanner and Stacksync propagates the change into GitHub, replacing custom integration code.
GitHub: REST API and GraphQL API. Authentication: OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens. Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). Stacksync manages authentication, retries, and rate limits on both sides.
GitHub: Issues and pull requests share numbering within a repository, a detail integrations must handle when mapping them to separate object types. Google Cloud Spanner: Interleaved tables physically store child rows with their parent rows, which affects how related records are read. Stacksync's field mapping accounts for these differences between GitHub and Google Cloud Spanner without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for GitHub and Google Cloud Spanner.