Two-way sync
Changes in ClickHouse or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse 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.
ClickHouse is the central store where teams keep Dictionaries, Tables (MergeTree family), Databases, Views 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 On-Calls, Notes and Log Entries, Incidents, Services produced in PagerDuty are exactly what analysts want to measure in ClickHouse, and the curated rows in ClickHouse 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 Dictionaries, Tables (MergeTree family), Databases, Views in ClickHouse with On-Calls, Notes and Log Entries, Incidents, Services 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.
A row scored, flagged, or enriched in ClickHouse creates or updates the matching record in PagerDuty, so the operational tool acts on the same data the analysts already see.
Load the existing set of On-Calls, Notes and Log Entries, Incidents, Services into ClickHouse once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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.
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.
| ClickHouse objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | 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. | Materialized views is specific to ClickHouse and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | 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. | Distributed tables is specific to ClickHouse and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by 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. | Dictionaries is specific to ClickHouse and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | 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. | Tables (MergeTree family) is specific to ClickHouse and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | 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 ClickHouse and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Views is specific to ClickHouse and Teams 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 ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
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 ClickHouse as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–PagerDuty connection.
Changes in ClickHouse or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse 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 ClickHouse or PagerDuty record.
Track your ClickHouse ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse 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 ClickHouse 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 ClickHouse 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 ClickHouse and PagerDuty: authenticate both systems, choose the objects to sync (such as ClickHouse's Materialized views and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the ClickHouse side: Dictionaries, Tables (MergeTree family), Databases, Views, plus custom fields where ClickHouse exposes them. On the PagerDuty side: On-Calls, Notes and Log Entries, Incidents, Services. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for ClickHouse and PagerDuty: Warehouse signals reach PagerDuty; Backfill history, then stay live; No batch jobs to babysit. A row scored, flagged, or enriched in ClickHouse creates or updates the matching record in PagerDuty, so the operational tool acts on the same data the analysts already see.
ClickHouse: Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available. Authentication: Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS. 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.
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 ClickHouse and PagerDuty.