Two-way sync
Changes in Citus or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Opsgenie in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Citus is where your application's durable data lives; Opsgenie 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 Views, Sequences, Distributed tables, Reference tables in Citus with Services, Heartbeats, Alerts, Incidents in Opsgenie 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.
Updates in Opsgenie arrive as row changes in Citus, and writes to Citus propagate to Opsgenie within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Opsgenie stay matched to the users or owners table in Citus, so provisioning and de-provisioning flow from one source.
A new or changed row in Citus creates or updates the matching record in Opsgenie, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
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.
| Citus objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. | Reference tables is specific to Citus and Services to Opsgenie — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. | Local tables is specific to Citus and Heartbeats to Opsgenie — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. | Schemas is specific to Citus and Alerts to Opsgenie — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Incidents Major-incident records declared against Services with stakeholders and status; mirrored into databases or ITSM tools for cross-tool tracking. | Views is specific to Citus and Incidents to Opsgenie — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Users Opsgenie accounts with contact methods and roles; commonly written from an IdP or HRIS so on-call identity stays current. | Sequences is specific to Citus and Users to Opsgenie — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. | Distributed tables is specific to Citus and Teams to Opsgenie — 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 Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Opsgenie through its API, with automatic retries and rate-limit backoff.
DetectionOpsgenie notifies Stacksync of record changes through webhook events. Outgoing webhook integrations push alert lifecycle events (create, acknowledge, close, escalate).
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Opsgenie connection.
Changes in Citus or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Opsgenie data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or Opsgenie record.
Track your Citus ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Opsgenie.
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 Citus and Opsgenie 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 Citus and Opsgenie 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 Citus and Opsgenie: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Opsgenie connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Opsgenie integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and Opsgenie. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Opsgenie: Outgoing webhook integrations push alert lifecycle events (create, acknowledge, close, escalate); objects without webhook coverage are polled on createdAt/updatedAt. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Citus side: Views, Sequences, Distributed tables, Reference tables, plus custom fields where Citus exposes them. On the Opsgenie side: Services, Heartbeats, Alerts, Incidents. 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.
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 311 integrations available for Citus and Opsgenie.