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

Keep PagerDuty and SingleStore 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 SingleStore

Keep SingleStore and PagerDuty in step: the rows in your database and the Users, Teams, Schedules, Escalation Policies your engineering tools track stay consistent in real time, in both directions.

SingleStore 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 Stored Procedures, Indexes and Shard Keys, Databases, Tables (rowstore and columnstore) in SingleStore with Users, Teams, Schedules, Escalation Policies 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 Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
  • 02 Keep reference data consistent between SingleStore and application databases.
  • 03 Write Schedules and Escalation Policies from a workforce tool or source-of-truth spreadsheet so rotations and overrides stay consistent across teams.
  • 04 Mirror Services and their integration keys with a CMDB or service catalog so ownership and tier metadata stay aligned in both directions.

Common sync patterns

React to changes on either side in near real time

Updates in PagerDuty arrive as row changes in SingleStore, and writes to SingleStore 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 SingleStore, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in SingleStore 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.

What you can sync between PagerDuty and SingleStore

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 SingleStore objects How this pairing syncs
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. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Incidents is specific to PagerDuty and Pipelines to SingleStore — 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. Stored Procedures Existing logic sometimes invoked on write paths. Services is specific to PagerDuty and Stored Procedures to SingleStore — 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. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Users is specific to PagerDuty and Indexes and Shard Keys to SingleStore — 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. Databases The connection target containing the tables a sync addresses. Teams is specific to PagerDuty and Databases to SingleStore — 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. Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. Schedules is specific to PagerDuty and Tables (rowstore and columnstore) to SingleStore — 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 Read-only projections used as curated sync sources. Escalation Policies is specific to PagerDuty and Views to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between PagerDuty and SingleStore

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

SingleStore PagerDuty Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

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.
  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with PagerDuty ⇄ SingleStore

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PagerDuty or SingleStore 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 SingleStore record.

Observability

Monitoring

Track your PagerDuty ⇄ SingleStore 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 SingleStore.

How the PagerDuty and SingleStore 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

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

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

    Choose tables

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

PagerDuty and SingleStore 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 328 integrations available for PagerDuty and SingleStore.

Popular · 6 of 328
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