Two-way sync
Changes in Oracle DB or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB 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.
Oracle DB 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 Tables, Views, Materialized views, Schemas in Oracle DB 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 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 Oracle DB 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 Oracle DB 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 Oracle DB 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.
| Oracle DB objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| JSON columns Document data stored in the converged engine and synced alongside relational rows | 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. | JSON columns is specific to Oracle DB and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables The primary read/write surface for row-level sync over SQL | 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. | Tables is specific to Oracle DB and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Curated read-only projections exposed to downstream consumers | 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. | Views is specific to Oracle DB and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed results occasionally used as stable replication sources | 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. | Materialized views is specific to Oracle DB and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Schemas is specific to Oracle DB and Teams to PagerDuty — each maps to any object or custom field on the other side. | |
| Sequences Key generators to respect when external systems insert rows | Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Sequences is specific to Oracle DB and Schedules 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 Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
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 Oracle DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–PagerDuty connection.
Changes in Oracle DB or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB 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 Oracle DB or PagerDuty record.
Track your Oracle DB ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB 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 Oracle DB 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 Oracle DB 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 Oracle DB and PagerDuty: authenticate both systems, choose the objects to sync (such as Oracle DB's JSON columns and Tables), 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 Oracle DB 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 Oracle DB 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.
Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. 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.
Oracle DB: Keys have traditionally come from sequences rather than auto-increment columns, though identity columns exist in newer releases. PagerDuty: REST API rate limit is 960 requests per minute per token; high-volume syncs must batch reads and honor 429 backoff and the rate-limit response headers. Stacksync's field mapping accounts for these differences between Oracle DB 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 Oracle DB 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 337 integrations available for Oracle DB and PagerDuty.