Two-way sync
Changes in IBM Db2 or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 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.
IBM Db2 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 Indexes, Stored Procedures, Sequences, Tablespaces in IBM Db2 with Incidents, Services, Users, Teams 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.
A new or changed row in IBM Db2 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 IBM Db2 as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in IBM Db2 and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| IBM Db2 objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | 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 is specific to IBM Db2 and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Read-only projections often used to expose curated slices to a sync. | 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. | Views is specific to IBM Db2 and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Indexes Support fast key lookups on sync match columns. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Indexes is specific to IBM Db2 and Teams to PagerDuty — each maps to any object or custom field on the other side. | |
| Stored Procedures Existing business logic sometimes invoked as part of write paths. | Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Stored Procedures is specific to IBM Db2 and Schedules to PagerDuty — each maps to any object or custom field on the other side. | |
| Sequences ID generation relevant when external systems insert rows. | Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Sequences is specific to IBM Db2 and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. | |
| Tablespaces Physical storage layout that operators consider when adding synced tables. | 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. | Tablespaces is specific to IBM Db2 and On-Calls 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.
DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
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 IBM Db2 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–PagerDuty connection.
Changes in IBM Db2 or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 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 IBM Db2 or PagerDuty record.
Track your IBM Db2 ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 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 IBM Db2 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 IBM Db2 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 IBM Db2 and PagerDuty: authenticate both systems, choose the objects to sync (such as IBM Db2's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 IBM Db2 and PagerDuty: Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. A new or changed row in IBM Db2 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.
IBM Db2: SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions. Authentication: Database credentials, typically backed by OS or LDAP authentication. 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.
IBM Db2: IBM provides log-based replication tooling that reads the transaction log for change capture, avoiding query load on source tables. 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 IBM Db2 and PagerDuty 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 IBM Db2 and PagerDuty records are not retained after a sync operation.
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 331 integrations available for IBM Db2 and PagerDuty.