Two-way sync
Changes in IBM Informix or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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 Informix 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 Databases, Tables, Rows, Views in IBM Informix 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.
Directory and identity records in PagerDuty stay matched to the users or owners table in IBM Informix, so provisioning and de-provisioning flow from one source.
A new or changed row in IBM Informix 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 Informix as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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 Informix objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables mapped directly to sync targets. | Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Tables is specific to IBM Informix and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | 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. | Rows is specific to IBM Informix and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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. | Views is specific to IBM Informix and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | 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 is specific to IBM Informix and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | 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. | Logical logs is specific to IBM Informix and Users 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 Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 Informix 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 Informix–PagerDuty connection.
Changes in IBM Informix or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 Informix or PagerDuty record.
Track your IBM Informix ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 Informix 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 Informix 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 Informix and PagerDuty: authenticate both systems, choose the objects to sync (such as IBM Informix's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Informix: Informix ships a Change Data Capture API that streams committed row changes from its logical logs, so log-based replication does not require triggers. PagerDuty: Incoming monitoring alerts are ingested through the Events API v2 with a per-service routing (integration) key, separate from the REST API used for management. Stacksync's field mapping accounts for these differences between IBM Informix 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 Informix and PagerDuty records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Informix and PagerDuty connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Informix–PagerDuty integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Informix and PagerDuty. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. 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.
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 335 integrations available for IBM Informix and PagerDuty.