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Database ⇄ Developer tools

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

Keep Google AlloyDB 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 AlloyDB and Newrelic

Keep Google AlloyDB and Newrelic in step: the rows in your database and the Change Tracking (Deployments), Dashboards, Alert Policies & Conditions, NRQL Query Results your engineering tools track stay consistent in real time, in both directions.

Google AlloyDB 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 Materialized Views, Indexes, Sequences, Replication Slots in Google AlloyDB with Change Tracking (Deployments), Dashboards, Alert Policies & Conditions, NRQL Query Results 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 Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
  • 02 Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
  • 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

Where Newrelic manages users or groups: keep identity aligned

Directory and identity records in Newrelic stay matched to the users or owners table in Google AlloyDB, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in Google AlloyDB creates or updates the matching record in Newrelic, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

Land tool activity as queryable rows

Records and events from Newrelic arrive in Google AlloyDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

What you can sync between Google AlloyDB 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 AlloyDB objects Newrelic objects How this pairing syncs
Replication Slots Logical replication artifacts that back log-based change capture. 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. Replication Slots is specific to Google AlloyDB and Entities to Newrelic — each maps to any object or custom field on the other side.
Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. 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 Google AlloyDB and Workloads to Newrelic — each maps to any object or custom field on the other side.
Schemas Namespaces used to separate synced SaaS data from application tables. 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. Schemas is specific to Google AlloyDB and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side.
Tables Primary read/write target for bi-directional sync with CRMs and other systems. 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. Tables is specific to Google AlloyDB and Custom Events to Newrelic — each maps to any object or custom field on the other side.
Views Curated projections used as read-only sync sources. 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. Views is specific to Google AlloyDB and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side.
Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. 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. Materialized Views is specific to Google AlloyDB and Dashboards to Newrelic — each maps to any object or custom field on the other side.

How changes propagate between Google AlloyDB 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 AlloyDB Newrelic Sub-second propagation

DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.

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

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

Rate-limit considerations

  • Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
  • 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 AlloyDB ⇄ Newrelic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google AlloyDB 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 AlloyDB or Newrelic record.

Observability

Monitoring

Track your Google AlloyDB ⇄ 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 AlloyDB and Newrelic.

How the Google AlloyDB and Newrelic connectors work

Google AlloyDB

Integration surface
SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
Capabilities
read · write · CDC
Rate limits
No API-style rate limits; throughput is bounded by instance size

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 AlloyDB 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 AlloyDB 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 AlloyDB connected
    Newrelic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google AlloyDB 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 AlloyDB ⇄ 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 AlloyDB Newrelic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google AlloyDB 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.

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→ 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 326 integrations available for Google AlloyDB and Newrelic.

Popular · 7 of 326
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