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

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

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

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Why teams connect PagerDuty and TimescaleDB

Keep TimescaleDB and PagerDuty in step: the rows in your database and the Schedules, Escalation Policies, On-Calls, Notes and Log Entries your engineering tools track stay consistent in real time, in both directions.

TimescaleDB 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 Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB with Schedules, Escalation Policies, On-Calls, Notes and Log Entries 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 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
  • 02 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
  • 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

Where PagerDuty manages users or groups: keep identity aligned

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

Turn rows into the records your tools track

A new or changed row in TimescaleDB 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.

Land tool activity as queryable rows

Records and events from PagerDuty arrive in TimescaleDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

What you can sync between PagerDuty and TimescaleDB

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 TimescaleDB 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. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Services is specific to PagerDuty and Hypertables to TimescaleDB — 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. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Users is specific to PagerDuty and Chunks to TimescaleDB — 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. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Teams is specific to PagerDuty and Continuous Aggregates to TimescaleDB — 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. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Schedules is specific to PagerDuty and Regular PostgreSQL Tables to TimescaleDB — 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. Views Standard SQL views used to shape or filter data for consumers. Escalation Policies is specific to PagerDuty and Views to TimescaleDB — 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. Schemas Postgres namespaces used to separate synced datasets by team or environment. On-Calls is specific to PagerDuty and Schemas to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between PagerDuty and TimescaleDB

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

TimescaleDB PagerDuty Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

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.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with PagerDuty ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PagerDuty or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your PagerDuty ⇄ TimescaleDB 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 TimescaleDB.

How the PagerDuty and TimescaleDB 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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

How to connect PagerDuty to TimescaleDB — 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 TimescaleDB 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
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PagerDuty and TimescaleDB 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 ⇄ TimescaleDB
    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 TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

PagerDuty and TimescaleDB 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 308 integrations available for PagerDuty and TimescaleDB.

Popular · 8 of 308
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