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Data warehouse ⇄ Developer tools

Google Cloud Platform to Newrelic integration — real-time, two-way sync

Keep Google Cloud Platform 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 Google Cloud Platform and Newrelic

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

Google Cloud Platform is the central store where teams keep Firestore documents, Spanner tables, BigQuery datasets, BigQuery 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 Entities, Workloads, Synthetics Monitors, Custom Events produced in Newrelic are exactly what analysts want to measure in Google Cloud Platform, and the curated rows in Google Cloud Platform 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 Firestore documents, Spanner tables, BigQuery datasets, BigQuery tables in Google Cloud Platform with Entities, Workloads, Synthetics Monitors, Custom Events 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 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 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.
  • 03 Push custom business or pipeline Events and Metrics into New Relic through the Event and Metric APIs so they appear alongside APM data in dashboards and NRQL.

Common sync patterns

Keep user and access records aligned

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

Operational data lands in Google Cloud Platform for analytics

Records created in Newrelic — issues, events, messages, metrics, or user changes — replicate into Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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.

Google Cloud Platform objects Newrelic objects How this pairing syncs
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. 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. Spanner tables is specific to Google Cloud Platform and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side.
BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. 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. BigQuery datasets is specific to Google Cloud Platform and Entities to Newrelic — each maps to any object or custom field on the other side.
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. 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. BigQuery tables is specific to Google Cloud Platform and Workloads to Newrelic — each maps to any object or custom field on the other side.
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. 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. Cloud SQL databases is specific to Google Cloud Platform and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side.
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. 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. Cloud Storage objects is specific to Google Cloud Platform and Custom Events to Newrelic — each maps to any object or custom field on the other side.
Pub/Sub topics Event streams used to move change events between systems in near real time. 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. Pub/Sub topics is specific to Google Cloud Platform and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Platform 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.

Google Cloud Platform Newrelic Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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

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

Rate-limit considerations

  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
  • 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 Google Cloud Platform ⇄ Newrelic

Connect Google Cloud Platform and Newrelic for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Platform 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 Google Cloud Platform or Newrelic record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Newrelic.

How the Google Cloud Platform and Newrelic connectors work

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits

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 Google Cloud Platform 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.

  1. 01

    Connect your apps

    Authenticate Google Cloud Platform 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Cloud Platform connected
    Newrelic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Cloud Platform ⇄ Newrelic
    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
    Google Cloud Platform Newrelic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Platform and Newrelic 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
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:

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 418 integrations available for Google Cloud Platform and Newrelic.

Popular · 8 of 418
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