Two-way sync
Changes in MotherDuck or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep MotherDuck and PagerDuty in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
MotherDuck is the central store where teams keep Schemas, Tables, Views, Database Shares 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 Notes and Log Entries, Incidents, Services, Users produced in PagerDuty are exactly what analysts want to measure in MotherDuck, and the curated rows in MotherDuck 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 Schemas, Tables, Views, Database Shares in MotherDuck with Notes and Log Entries, Incidents, Services, Users 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.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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 MotherDuck — and can be provisioned back from it — so ownership and permissions match across both.
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.
| MotherDuck objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to organize synced tables. | Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Schemas is specific to MotherDuck and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables The main landing target for synced records and source for analysis. | 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. | Tables is specific to MotherDuck and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | 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. | Views is specific to MotherDuck and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | 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. | Database Shares is specific to MotherDuck and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | 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. | Attached Local DuckDB Databases is specific to MotherDuck and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | 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. | Databases is specific to MotherDuck and Users to PagerDuty — 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.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
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 MotherDuck as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–PagerDuty connection.
Changes in MotherDuck or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MotherDuck or PagerDuty data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MotherDuck or PagerDuty record.
Track your MotherDuck ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MotherDuck and PagerDuty.
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 MotherDuck and PagerDuty 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 MotherDuck and PagerDuty 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 MotherDuck and PagerDuty: authenticate both systems, choose the objects to sync (such as MotherDuck's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for MotherDuck and PagerDuty: No batch jobs to babysit; One shared record, kept consistent; Keep user and access records aligned. New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. 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. Stacksync manages authentication, retries, and rate limits on both sides.
MotherDuck: Hybrid execution can split a query between the local DuckDB process and cloud compute. PagerDuty: Account-level API keys grant full account access, while user-level keys are limited to that user's role and team permissions. Stacksync's field mapping accounts for these differences between MotherDuck and PagerDuty without custom code.
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 MotherDuck and PagerDuty records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MotherDuck and PagerDuty connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MotherDuck–PagerDuty integration in-house.
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 328 integrations available for MotherDuck and PagerDuty.