Skip to content
Developer tools ⇄ Data warehouse

Newrelic to Snowflake integration — real-time, two-way sync

Keep Newrelic and Snowflake 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 Newrelic and Snowflake

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

Snowflake is the central store where teams keep Virtual Warehouses, Databases, Schemas, Tables 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 NRQL Query Results, Entities, Workloads, Synthetics Monitors produced in Newrelic are exactly what analysts want to measure in Snowflake, and the curated rows in Snowflake 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 Virtual Warehouses, Databases, Schemas, Tables in Snowflake 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 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 Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
  • 02 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
  • 03 Record deployment and change markers from CI/CD through NerdGraph change tracking to correlate releases with performance and error-rate shifts.
  • 04 Sync the Entity catalog into a CMDB or warehouse for asset inventory, and add or replace entity Tags to keep ownership and environment metadata current.

Common sync patterns

Keep user and access records aligned

Where Newrelic manages users, directory, or access data, those records stay current in Snowflake — and can be provisioned back from it — so ownership and permissions match across both.

Operational data lands in Snowflake for analytics

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

Warehouse signals reach Newrelic

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

What you can sync between Newrelic and Snowflake

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.

Newrelic objects Snowflake objects How this pairing syncs
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 The main landing and activation target for synced records. Dashboards is specific to Newrelic and Tables to Snowflake — each maps to any object or custom field on the other side.
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 Modeled projections used as the source side of outbound syncs. Alert Policies & Conditions is specific to Newrelic and Views to Snowflake — each maps to any object or custom field on the other side.
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. Materialized Views Precomputed results synced outward for low-latency reads. NRQL Query Results is specific to Newrelic and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
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. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Entities is specific to Newrelic and Streams to Snowflake — each maps to any object or custom field on the other side.
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. Stages File staging areas used for bulk loads into synced tables. Workloads is specific to Newrelic and Stages to Snowflake — each maps to any object or custom field on the other side.
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. Tasks Scheduled SQL used to transform synced data after it lands. Synthetics Monitors is specific to Newrelic and Tasks to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Newrelic and Snowflake

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.

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

Snowflake Newrelic Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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

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.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Newrelic ⇄ Snowflake

Connect Newrelic and Snowflake for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Newrelic or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Newrelic or Snowflake 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 Newrelic or Snowflake record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Newrelic and Snowflake.

How the Newrelic and Snowflake connectors work

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.

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect Newrelic to Snowflake — 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 Newrelic and Snowflake 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
    Newrelic connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Newrelic and Snowflake 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 · Newrelic ⇄ Snowflake
    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
    Newrelic Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Newrelic and Snowflake 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 426 integrations available for Newrelic and Snowflake.

Popular · 7 of 426
Coworkers laughing in front of a laptop in a casual office setting

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