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Data warehouse ⇄ Developer tools

BigQuery to Opsgenie integration — real-time, two-way sync

Keep BigQuery 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.

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Why teams connect BigQuery and Opsgenie

Close the gap between analytics and operations: BigQuery holds the record while Opsgenie runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.

BigQuery is the central store where teams keep Projects, Tables, Partitioned tables, Clustered tables 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 Users, Teams, Schedules, Escalations produced in Opsgenie are exactly what analysts want to measure in BigQuery, and the curated rows in BigQuery 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 Projects, Tables, Partitioned tables, Clustered tables in BigQuery with Users, Teams, Schedules, Escalations 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.

Common use cases

  • 01 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 02 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 03 Sync Alert state (status, acknowledgedBy, closedAt) back to a warehouse to compute MTTA and MTTR reporting.
  • 04 Keep Users and Teams aligned with an IdP or HRIS so on-call membership follows joiners, movers, and leavers.

Common sync patterns

Warehouse signals reach Opsgenie

A row scored, flagged, or enriched in BigQuery creates or updates the matching record in Opsgenie, so the operational tool acts on the same data the analysts already see.

Backfill history, then stay live

Load the existing set of Users, Teams, Schedules, Escalations into BigQuery once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

No batch jobs to babysit

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.

What you can sync between BigQuery and Opsgenie

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.

BigQuery objects Opsgenie objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. Clustered tables is specific to BigQuery and Schedules to Opsgenie — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Escalations Policies that route unacknowledged alerts to the next responder; read out or kept aligned with team ownership. Datasets is specific to BigQuery and Escalations to Opsgenie — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. Projects is specific to BigQuery and Services to Opsgenie — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. Tables is specific to BigQuery and Heartbeats to Opsgenie — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. Partitioned tables is specific to BigQuery and Alerts to Opsgenie — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Opsgenie

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.

BigQuery Opsgenie Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Opsgenie through its API, with automatic retries and rate-limit backoff.

Opsgenie BigQuery Sub-second propagation

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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Opsgenie: Per-domain limits (Alert, Notification, Configuration, etc.) computed from plan tier and user-seat count; the Configuration domain has the lowest ceiling. Actual limits appear on the Reports page.
What ships with BigQuery ⇄ Opsgenie

Connect BigQuery and Opsgenie for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Opsgenie connection.

Real-time

Two-way sync

Changes in BigQuery or Opsgenie instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Opsgenie data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Opsgenie record.

Observability

Monitoring

Track your BigQuery ⇄ Opsgenie sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Opsgenie.

How the BigQuery and Opsgenie connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Opsgenie

Integration surface
REST API (v2)
Authentication
API key sent as the `Authorization: GenieKey <key>` header, scoped per API integration to specific actions and teams
Change detection
Outgoing webhook integrations push alert lifecycle events (create, acknowledge, close, escalate); objects without webhook coverage are polled on createdAt/updatedAt
Capabilities
read · write · webhooks
Rate limits
Per-domain limits (Alert, Notification, Configuration, etc.) computed from plan tier and user-seat count; the Configuration domain has the lowest ceiling. Actual limits appear on the Reports page.
How it works

How to connect BigQuery to Opsgenie — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate BigQuery 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Opsgenie connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Opsgenie
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Opsgenie
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Opsgenie integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 421 integrations available for BigQuery and Opsgenie.

Popular · 7 of 421
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