Two-way sync
Changes in PagerDuty or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Supabase is where your application's durable data lives; PagerDuty is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs auth.users, Row Level Security Policies, JSONB Columns, Database Functions in Supabase 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 keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Directory and identity records in PagerDuty stay matched to the users or owners table in Supabase, so provisioning and de-provisioning flow from one source.
A new or changed row in Supabase creates or updates the matching record in PagerDuty, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from PagerDuty arrive in Supabase as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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 | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Services is specific to PagerDuty and Row Level Security Policies to Supabase — 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. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Users is specific to PagerDuty and JSONB Columns to Supabase — 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. | Database Functions Postgres functions that can transform or validate synced rows. | Teams is specific to PagerDuty and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Schedules is specific to PagerDuty and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Tables Standard Postgres tables; the primary two-way sync target. | Escalation Policies is specific to PagerDuty and Tables to Supabase — each maps to any object or custom field on the other side. | |
| 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. | Views Read-side projections exposed to outbound syncs. | On-Calls is specific to PagerDuty and Views to Supabase — 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 Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
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–Supabase connection.
Changes in PagerDuty or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Supabase 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 Supabase record.
Track your PagerDuty ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Supabase.
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 Supabase 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 Supabase 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 Supabase: authenticate both systems, choose the objects to sync (such as PagerDuty's Services and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Supabase: Every Supabase project is a full PostgreSQL database, so standard Postgres drivers, SQL tooling, and log-based CDC apply directly. PagerDuty: On-Calls, Log Entries, and alert reports are computed, read-only resources — they can be read but not written back. Stacksync's field mapping accounts for these differences between PagerDuty and Supabase 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 PagerDuty and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed PagerDuty and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom PagerDuty–Supabase integration in-house.
Yes — Stacksync ships production-grade connectors for both PagerDuty and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on PagerDuty: V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated); list endpoints also support polling with updated_at and since/until windows. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 419 integrations available for PagerDuty and Supabase.