Skip to content
Data warehouse ⇄ Developer tools

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

Keep Dremio 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and Opsgenie

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

Dremio is the central store where teams keep Physical datasets, Virtual datasets (views), Apache Iceberg tables, Spaces and folders 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 Escalations, Services, Heartbeats, Alerts produced in Opsgenie are exactly what analysts want to measure in Dremio, and the curated rows in Dremio 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 Physical datasets, Virtual datasets (views), Apache Iceberg tables, Spaces and folders in Dremio with Escalations, Services, Heartbeats, Alerts 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 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
  • 02 Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
  • 03 Read on-call Schedules and Escalations into an internal portal so engineers see who is on call without an Opsgenie seat.
  • 04 Create Opsgenie Alerts from rows written into a Postgres events table so application-detected issues page the right on-call Team.

Common sync patterns

Operational data lands in Dremio for analytics

Records created in Opsgenie — issues, events, messages, metrics, or user changes — replicate into Dremio tables as they happen, so reporting runs on current data instead of last night's export.

Warehouse signals reach Opsgenie

A row scored, flagged, or enriched in Dremio 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 Escalations, Services, Heartbeats, Alerts into Dremio once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

What you can sync between Dremio 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.

Dremio objects Opsgenie objects How this pairing syncs
Jobs Query execution records useful for monitoring sync workloads. Teams Groups that own alerts, schedules, and escalations; membership synced from source-of-truth identity systems. Jobs is specific to Dremio and Teams to Opsgenie — each maps to any object or custom field on the other side.
Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Schedules On-call rotations defining who is on call and when; often read out to dashboards, portals, or Slack workflows. Sources is specific to Dremio and Schedules to Opsgenie — each maps to any object or custom field on the other side.
Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Escalations Policies that route unacknowledged alerts to the next responder; read out or kept aligned with team ownership. Physical datasets is specific to Dremio and Escalations to Opsgenie — each maps to any object or custom field on the other side.
Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Services Services that Incidents are declared against; synced to reporting stores to break down reliability metrics by service. Virtual datasets (views) is specific to Dremio and Services to Opsgenie — each maps to any object or custom field on the other side.
Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Heartbeats Deadman-switch monitors expecting periodic pings; ping state read or written to signal system liveness. Apache Iceberg tables is specific to Dremio and Heartbeats to Opsgenie — each maps to any object or custom field on the other side.
Spaces and folders Namespaces that organize virtual datasets and govern access. Alerts Core object; created, acknowledged, closed, and escalated. Synced two-way so external systems raise alerts and read back their lifecycle state. Spaces and folders is specific to Dremio and Alerts to Opsgenie — each maps to any object or custom field on the other side.

How changes propagate between Dremio 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.

Dremio Opsgenie Interval-based propagation

DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.

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

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

Rate-limit considerations

  • Dremio: Bounded by engine capacity and workload management rather than API rate limits.
  • 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 Dremio ⇄ Opsgenie

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio 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 Dremio or Opsgenie record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Dremio and Opsgenie connectors work

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits

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

    Choose tables

    Pick the Dremio 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 · Dremio ⇄ 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
    Dremio Opsgenie
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Dremio 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 313 integrations available for Dremio and Opsgenie.

Popular · 6 of 313
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.