Two-way sync
Changes in MariaDB or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep MariaDB 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.
MariaDB 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, Databases (Schemas), Tables, Views in MariaDB 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.
Read and write the synced tables in MariaDB and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in PagerDuty arrive as row changes in MariaDB, and writes to MariaDB propagate to PagerDuty within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in PagerDuty stay matched to the users or owners table in MariaDB, so provisioning and de-provisioning flow from one source.
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.
| MariaDB objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| JSON Columns Semi-structured payloads validated with JSON functions. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | JSON Columns is specific to MariaDB and Teams to PagerDuty — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | 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 MariaDB and Schedules to PagerDuty — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Databases (Schemas) is specific to MariaDB and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | 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. | Tables is specific to MariaDB and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | 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 MariaDB and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | 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. | Columns is specific to MariaDB and Incidents 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 MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
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 MariaDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–PagerDuty connection.
Changes in MariaDB or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MariaDB 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 MariaDB or PagerDuty record.
Track your MariaDB ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MariaDB 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 MariaDB 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 MariaDB 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 MariaDB and PagerDuty: authenticate both systems, choose the objects to sync (such as MariaDB's JSON Columns and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MariaDB and PagerDuty. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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 MariaDB side: Stored Procedures, Databases (Schemas), Tables, Views, plus custom fields where MariaDB exposes them. On the PagerDuty side: Users, Teams, Schedules, Escalation Policies. 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 MariaDB and PagerDuty: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where PagerDuty manages users or groups: keep identity aligned. Read and write the synced tables in MariaDB and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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 322 integrations available for MariaDB and PagerDuty.