Two-way sync
Changes in GitHub or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep GitHub and TiDB 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 TiDB.
Stacksync mirrors Releases, Workflow runs (Actions), Organizations and Teams, Users from GitHub into Sequences, Databases, Tables, Views in TiDB 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 TiDB and Stacksync propagates the change into GitHub, replacing custom integration code.
Updates in GitHub arrive as row changes in TiDB, 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 | TiDB objects | How this pairing syncs | |
|---|---|---|---|
| Workflow runs (Actions) CI results synced into incident and reporting systems. | Indexes Secondary indexes that keep incremental sync queries efficient. | Workflow runs (Actions) is specific to GitHub and Indexes to TiDB — each maps to any object or custom field on the other side. | |
| Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. | Sequences Server-side ID generation relevant when external systems write rows. | Organizations and Teams is specific to GitHub and Sequences to TiDB — each maps to any object or custom field on the other side. | |
| Users Author and assignee identities matched to internal directories. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | Users is specific to GitHub and Databases to TiDB — 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. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | Labels and Milestones is specific to GitHub and Tables to TiDB — 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. | Views Logical views for shaping reads before syncing outward. | Repositories is specific to GitHub and Views to TiDB — 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. | Columns MySQL-compatible types mapped to fields in the paired system. | Issues is specific to GitHub and Columns to TiDB — each maps to any object or custom field on the other side. |
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.
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 TiDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TiDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks.
DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every GitHub–TiDB connection.
Changes in GitHub or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever GitHub or TiDB 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 TiDB record.
Track your GitHub ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between GitHub and TiDB.
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 TiDB 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 TiDB 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 TiDB: authenticate both systems, choose the objects to sync (such as GitHub's Workflow runs (Actions) and Organizations and Teams), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on GitHub: Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill. On TiDB: Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks; polling also works. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the GitHub side: Releases, Workflow runs (Actions), Organizations and Teams, Users, plus custom fields where GitHub exposes them. On the TiDB side: Sequences, Databases, Tables, Views. 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 TiDB: Automate GitHub from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in TiDB 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. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
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 380 integrations available for GitHub and TiDB.