Two-way sync
Changes in PagerDuty or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tinybird is the central store where teams keep Workspaces, Tokens, Data Sources, Pipes for reporting and analysis; PagerDuty runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Services, Users, Teams, Schedules produced in PagerDuty are exactly what analysts want to measure in Tinybird, and the curated rows in Tinybird are what should drive the next action in PagerDuty. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Workspaces, Tokens, Data Sources, Pipes in Tinybird with Services, Users, Teams, Schedules in PagerDuty field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Where PagerDuty manages users, directory, or access data, those records stay current in Tinybird — and can be provisioned back from it — so ownership and permissions match across both.
Records created in PagerDuty — issues, events, messages, metrics, or user changes — replicate into Tinybird tables as they happen, so reporting runs on current data instead of last night's export.
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.
| PagerDuty objects | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| On-Calls Computed view of who is on call now, derived from schedules and escalation policies; read-only, ideal for pushing current responders into other systems. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | On-Calls is specific to PagerDuty and Pipes to Tinybird — each maps to any object or custom field on the other side. | |
| Notes and Log Entries Notes are writable to append context to an incident; log entries are a read-only record of every action taken on that incident. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Notes and Log Entries is specific to PagerDuty and API Endpoints to Tinybird — each maps to any object or custom field on the other side. | |
| Incidents Core records with status of triggered, acknowledged, or resolved plus urgency and assignments; created, updated, and resolved two-way, with V3 webhooks firing on each transition. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Incidents is specific to PagerDuty and Materialized Views to Tinybird — each maps to any object or custom field on the other side. | |
| Services Technical services that group incidents and hold integration keys; read and written two-way, with service.created, service.updated, and service.deleted webhook events. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Services is specific to PagerDuty and Workspaces to Tinybird — each maps to any object or custom field on the other side. | |
| Users Responders with contact methods and notification rules; provisioned and updated two-way to keep the on-call roster aligned with an HRIS or identity provider. | Tokens Scoped credentials that control read and append rights per resource. | Users is specific to PagerDuty and Tokens to Tinybird — each maps to any object or custom field on the other side. | |
| Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Teams is specific to PagerDuty and Data Sources to Tinybird — 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.
DetectionPagerDuty notifies Stacksync of record changes through webhook events. V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated).
DeliveryEach detected change is applied to Tinybird as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PagerDuty–Tinybird connection.
Changes in PagerDuty or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Tinybird data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single PagerDuty or Tinybird record.
Track your PagerDuty ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Tinybird.
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 PagerDuty and Tinybird 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 PagerDuty and Tinybird 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 PagerDuty and Tinybird: authenticate both systems, choose the objects to sync (such as PagerDuty's On-Calls and Notes and Log Entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Tinybird side: Workspaces, Tokens, Data Sources, Pipes, plus custom fields where Tinybird exposes them. On the PagerDuty side: Services, Users, Teams, Schedules. 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 PagerDuty and Tinybird: One shared record, kept consistent; Keep user and access records aligned; Operational data lands in Tinybird for analytics. Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
PagerDuty: REST API v2 (plus Events API v2 for inbound alerts). Authentication: REST API token via the Authorization: Token header (account-level for full access or user-level scoped to the user's permissions), or OAuth 2.0 (Authorization Code / PKCE); the Events API v2 uses a per-service routing (integration) key. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Tinybird: Tinybird is built on ClickHouse; Pipes are chained SQL nodes that can be published directly as parameterized HTTP endpoints. PagerDuty: REST API rate limit is 960 requests per minute per token; high-volume syncs must batch reads and honor 429 backoff and the rate-limit response headers. Stacksync's field mapping accounts for these differences between PagerDuty and Tinybird 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 310 integrations available for PagerDuty and Tinybird.