Two-way sync
Changes in Apache Druid or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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.
Apache Druid is the central store where teams keep Tasks, Datasources, Segments, Dimensions for reporting and analysis; Opsgenie runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Services, Heartbeats, Alerts, Incidents produced in Opsgenie are exactly what analysts want to measure in Apache Druid, and the curated rows in Apache Druid are what should drive the next action in Opsgenie. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Tasks, Datasources, Segments, Dimensions in Apache Druid 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 matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
A row scored, flagged, or enriched in Apache Druid creates or updates the matching record in Opsgenie, so the operational tool acts on the same data the analysts already see.
Load the existing set of Services, Heartbeats, Alerts, Incidents into Apache Druid once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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.
| Apache Druid objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. | Dimensions is specific to Apache Druid and Heartbeats to Opsgenie — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. | Metrics is specific to Apache Druid and Alerts to Opsgenie — each maps to any object or custom field on the other side. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Incidents Major-incident records declared against Services with stakeholders and status; mirrored into databases or ITSM tools for cross-tool tracking. | Ingestion Supervisors is specific to Apache Druid and Incidents to Opsgenie — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Users Opsgenie accounts with contact methods and roles; commonly written from an IdP or HRIS so on-call identity stays current. | Lookups is specific to Apache Druid and Users to Opsgenie — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. | Tasks is specific to Apache Druid and Teams to Opsgenie — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. | Datasources is specific to Apache Druid and Schedules 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
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 Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Opsgenie connection.
Changes in Apache Druid or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Apache Druid or Opsgenie record.
Track your Apache Druid ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Apache Druid 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 Apache Druid 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 Apache Druid and Opsgenie: authenticate both systems, choose the objects to sync (such as Apache Druid's Dimensions and Metrics), 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 Apache Druid and Opsgenie connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Opsgenie integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Druid and Opsgenie. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. 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 Apache Druid side: Tasks, Datasources, Segments, Dimensions, plus custom fields where Apache Druid 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 319 integrations available for Apache Druid and Opsgenie.