Skip to content
Developer tools ⇄ Database

PagerDuty to PostgreSQL integration — real-time, two-way sync

Keep PagerDuty and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect PagerDuty and PostgreSQL

Keep PostgreSQL and PagerDuty in step: the rows in your database and the Notes and Log Entries, Incidents, Services, Users your engineering tools track stay consistent in real time, in both directions.

PostgreSQL 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 Tables, Views, Materialized Views, Schemas in PostgreSQL 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.

Common use cases

  • 01 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 02 Consolidate data from several microservice databases into one operational Postgres store
  • 03 Provision and deactivate Users and Team memberships two-way from an HRIS or identity provider so the on-call roster matches the current org.
  • 04 Write Schedules and Escalation Policies from a workforce tool or source-of-truth spreadsheet so rotations and overrides stay consistent across teams.

Common sync patterns

One integration pattern instead of per-tool API code

Read and write the synced tables in PostgreSQL and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

React to changes on either side in near real time

Updates in PagerDuty arrive as row changes in PostgreSQL, and writes to PostgreSQL propagate to PagerDuty within seconds, so triggers, jobs, and alerts fire without polling.

Where PagerDuty manages users or groups: keep identity aligned

Directory and identity records in PagerDuty stay matched to the users or owners table in PostgreSQL, so provisioning and de-provisioning flow from one source.

What you can sync between PagerDuty and PostgreSQL

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 PostgreSQL objects How this pairing syncs
Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. Columns Field-level mapping targets; types are mapped to the connected system's field types. Teams is specific to PagerDuty and Columns to PostgreSQL — 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. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Schedules is specific to PagerDuty and Primary and Unique Keys to PostgreSQL — 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. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Escalation Policies is specific to PagerDuty and JSONB Columns to PostgreSQL — 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. Sequences Generate surrogate keys for rows created by inbound syncs. On-Calls is specific to PagerDuty and Sequences to PostgreSQL — 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. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Notes and Log Entries is specific to PagerDuty and Custom Types and Enums to PostgreSQL — 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. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Incidents is specific to PagerDuty and Tables to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between PagerDuty and PostgreSQL

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.

PagerDuty PostgreSQL Sub-second propagation

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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL PagerDuty Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • PagerDuty: REST API allows 960 requests per minute per token and returns HTTP 429 when exceeded; the Events API is rate-limited separately per integration key.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with PagerDuty ⇄ PostgreSQL

Connect PagerDuty and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PagerDuty–PostgreSQL connection.

Real-time

Two-way sync

Changes in PagerDuty or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PagerDuty or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single PagerDuty or PostgreSQL record.

Observability

Monitoring

Track your PagerDuty ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between PagerDuty and PostgreSQL.

How the PagerDuty and PostgreSQL connectors work

PagerDuty

Integration surface
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
Change detection
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
Capabilities
read · write · webhooks
Rate limits
REST API allows 960 requests per minute per token and returns HTTP 429 when exceeded; the Events API is rate-limited separately per integration key.
PagerDuty setup guide

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect PagerDuty to PostgreSQL — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate PagerDuty and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    PagerDuty connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PagerDuty and PostgreSQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · PagerDuty ⇄ PostgreSQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    PagerDuty PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

PagerDuty and PostgreSQL integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 424 integrations available for PagerDuty and PostgreSQL.

Popular · 8 of 424
All PagerDuty integrations All PostgreSQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own