Two-way sync
Changes in MotherDuck or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep MotherDuck and Newrelic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
MotherDuck is the central store where teams keep Views, Database Shares, Attached Local DuckDB Databases, Databases for reporting and analysis; Newrelic 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 Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) produced in Newrelic are exactly what analysts want to measure in MotherDuck, and the curated rows in MotherDuck are what should drive the next action in Newrelic. 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 Views, Database Shares, Attached Local DuckDB Databases, Databases in MotherDuck with Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) in Newrelic 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.
Load the existing set of Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) into MotherDuck 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.
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.
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.
| MotherDuck objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to organize synced tables. | Change Tracking (Deployments) Deployment and change markers recorded through NerdGraph changeTrackingCreateDeployment; written from CI/CD to annotate charts, and read back via NRQL on the Deployment event for release correlation. | Schemas is specific to MotherDuck and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| Tables The main landing target for synced records and source for analysis. | Dashboards Dashboard definitions and widgets via NerdGraph dashboardCreate/dashboardUpdate/dashboardDelete mutations and entity queries, with full CRUD; exported for backup and audit or provisioned and updated programmatically from a source of truth. | Tables is specific to MotherDuck and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | Alert Policies & Conditions Alert policies and NRQL alert conditions managed through NerdGraph alertsPolicy and alertsNrqlCondition mutations with full create, update, and delete; read out for audit or provisioned from a config source so alerting stays consistent across accounts. | Views is specific to MotherDuck and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | NRQL Query Results Telemetry events, metrics, logs, and spans queried through NerdGraph's nrql field (or the legacy Insights query API) over time windows; read-only and bounded by data retention, commonly streamed into a warehouse for long-term analysis. | Database Shares is specific to MotherDuck and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side. | |
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Entities The entity catalog of APM applications, hosts, services, and monitors searched via NerdGraph entitySearch; read for inventory, with tags added or replaced through taggingAddTagsToEntity so ownership and environment metadata stay in sync. | Attached Local DuckDB Databases is specific to MotherDuck and Entities to Newrelic — each maps to any object or custom field on the other side. | |
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Workloads Workload groupings of related entities via NerdGraph workloadCreate/workloadUpdate/workloadDelete with full CRUD; read for status rollups or provisioned from a service catalog to keep team-level views current. | Databases is specific to MotherDuck and Workloads to Newrelic — 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 MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Newrelic through its API, with automatic retries and rate-limit backoff.
DetectionNewrelic notifies Stacksync of record changes through webhook events. NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans).
DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–Newrelic connection.
Changes in MotherDuck or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MotherDuck or Newrelic data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MotherDuck or Newrelic record.
Track your MotherDuck ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MotherDuck and Newrelic.
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 MotherDuck and Newrelic 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 MotherDuck and Newrelic 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 MotherDuck and Newrelic: authenticate both systems, choose the objects to sync (such as MotherDuck's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MotherDuck and Newrelic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MotherDuck: Polling; no log-based CDC or webhook surface is exposed. On Newrelic: NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans); config objects such as dashboards, alert policies, and workloads carry no modified-date and are diffed on each run. Alert workflows can push outbound webhook notifications for near-real-time alerting. No CDC feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MotherDuck side: Views, Database Shares, Attached Local DuckDB Databases, Databases, plus custom fields where MotherDuck exposes them. On the Newrelic side: Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments). 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.
Common patterns for MotherDuck and Newrelic: Backfill history, then stay live; No batch jobs to babysit; One shared record, kept consistent. Load the existing set of Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) into MotherDuck once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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 328 integrations available for MotherDuck and Newrelic.