Two-way sync
Changes in Materialize or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize 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.
Materialize is the central store where teams keep Sinks, Indexes, Clusters, Connections & Secrets 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 Schedules, Escalations, Services, Heartbeats produced in Opsgenie are exactly what analysts want to measure in Materialize, and the curated rows in Materialize 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 Sinks, Indexes, Clusters, Connections & Secrets in Materialize with Schedules, Escalations, Services, Heartbeats 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.
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Where Opsgenie manages users, directory, or access data, those records stay current in Materialize — and can be provisioned back from it — so ownership and permissions match across both.
Records created in Opsgenie — issues, events, messages, metrics, or user changes — replicate into Materialize tables as they happen, so reporting runs on current data instead of last night's export.
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.
| Materialize objects | Opsgenie objects | How this pairing syncs | |
|---|---|---|---|
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. | Sources is specific to Materialize and Schedules to Opsgenie — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Escalations Policies that route unacknowledged alerts to the next responder; read out or kept aligned with team ownership. | Materialized Views is specific to Materialize and Escalations to Opsgenie — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. | Sinks is specific to Materialize and Services to Opsgenie — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. | Indexes is specific to Materialize and Heartbeats to Opsgenie — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. | Clusters is specific to Materialize and Alerts to Opsgenie — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Incidents Major-incident records declared against Services with stakeholders and status; mirrored into databases or ITSM tools for cross-tool tracking. | Connections & Secrets is specific to Materialize and Incidents 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 Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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 Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Opsgenie connection.
Changes in Materialize or Opsgenie instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize 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 Materialize or Opsgenie record.
Track your Materialize ⇄ Opsgenie sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize 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 Materialize 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 Materialize 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 Materialize and Opsgenie: authenticate both systems, choose the objects to sync (such as Materialize's Sources and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Materialize and Opsgenie records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and Opsgenie connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Opsgenie integration in-house.
Yes — Stacksync ships production-grade connectors for both Materialize and Opsgenie. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. 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 Materialize side: Sinks, Indexes, Clusters, Connections & Secrets, plus custom fields where Materialize exposes them. On the Opsgenie side: Schedules, Escalations, Services, Heartbeats. Stacksync auto-detects both schemas and converts types between the two systems.
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 316 integrations available for Materialize and Opsgenie.