Real-time
Two-way sync
Changes in MongoDB or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Developer tools
MongoDB to Newrelic integration — real-time, two-way sync
Keep MongoDB 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect MongoDB and Newrelic
Keep MongoDB and Newrelic in step: the rows in your database and the NRQL Query Results, Entities, Workloads, Synthetics Monitors your engineering tools track stay consistent in real time, in both directions.
MongoDB is where your application's durable data lives; Newrelic is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Collections, Documents, Embedded documents and arrays, Indexes in MongoDB with NRQL Query Results, Entities, Workloads, Synthetics Monitors in Newrelic field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 02 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 03 Provision Synthetics Monitors from a service catalog and read their results via NRQL for availability and latency reporting in SQL.
- 04 Provision and update Dashboards and Alert Policies from a config repository or database through NerdGraph so definitions stay versioned and consistent across accounts and environments.
Common sync patterns
Land tool activity as queryable rows
Records and events from Newrelic arrive in MongoDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
One integration pattern instead of per-tool API code
Read and write the synced tables in MongoDB and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Newrelic arrive as row changes in MongoDB, and writes to MongoDB propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.
What you can sync between MongoDB and Newrelic
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.
| MongoDB objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Synthetics Monitors Synthetic uptime and scripted browser checks managed through NerdGraph synthetics mutations (create, update, delete); monitor results are read via NRQL for availability and latency reporting. | Documents is specific to MongoDB and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side. | |
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Custom Events Custom events posted write-only to the Event API on insights-collector with a License/Ingest key; business or pipeline events pushed into New Relic to enrich dashboards, then queried back out with NRQL. | Embedded documents and arrays is specific to MongoDB and Custom Events to Newrelic — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | 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. | Indexes is specific to MongoDB and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | 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. | Views is specific to MongoDB and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | 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. | Change streams is specific to MongoDB and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | 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. | GridFS files is specific to MongoDB and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side. |
How changes propagate between MongoDB and Newrelic
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.
MongoDB Newrelic Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Newrelic through its API, with automatic retries and rate-limit backoff.
Newrelic MongoDB Sub-second propagation
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 MongoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Newrelic: NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.
What ships with MongoDB ⇄ Newrelic
Connect MongoDB and Newrelic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Newrelic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or Newrelic 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 MongoDB or Newrelic record.
Observability
Monitoring
Track your MongoDB ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MongoDB and Newrelic.
How the MongoDB and Newrelic connectors work
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
Newrelic
- Integration surface
- NerdGraph (GraphQL) plus REST data-ingest APIs (Event, Metric, Log, Trace) and the legacy REST API v2
- Authentication
- User API key (prefixed NRAK-) sent in the API-Key header for NerdGraph queries and mutations; the data-ingest APIs (Event, Metric, Log) use a License/Ingest key in the Api-Key header. Keys, endpoints, and data are region-scoped (US, EU, JP).
- Change detection
- 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.
- Capabilities
- read · write · webhooks
- Rate limits
- NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.
How it works
How to connect MongoDB to Newrelic — 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.
- 01
Connect your apps
Authenticate MongoDB 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.
MongoDB
connected
Newrelic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB 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.
objects · MongoDB ⇄ NewrelicCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
MongoDB NewrelicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Newrelic integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Newrelic: authenticate both systems, choose the objects to sync (such as MongoDB's Documents and Embedded documents and arrays), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both MongoDB and Newrelic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. 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.
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On the MongoDB side: Collections, Documents, Embedded documents and arrays, Indexes, plus custom fields where MongoDB exposes them. On the Newrelic side: NRQL Query Results, Entities, Workloads, Synthetics Monitors. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for MongoDB and Newrelic: Land tool activity as queryable rows; One integration pattern instead of per-tool API code; React to changes on either side in near real time. Records and events from Newrelic arrive in MongoDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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 419 integrations available for MongoDB and Newrelic.
Popular · 8 of 419
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MongoDB ⇄ Jms -
MongoDB ⇄ Opsgenie -
MongoDB ⇄ PagerDuty -
MongoDB ⇄ Jira -
Newrelic ⇄ Apache Cassandra -
Newrelic ⇄ Azure Cosmos DB -
Newrelic ⇄ Azure SQL Database -
Newrelic ⇄ Citus
No integrations match .
