Two-way sync
Changes in Google Cloud Spanner or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner 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.
Google Cloud Spanner 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 Tables, Rows, Interleaved tables, Secondary indexes in Google Cloud Spanner 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.
Updates in Newrelic arrive as row changes in Google Cloud Spanner, and writes to Google Cloud Spanner propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Newrelic stay matched to the users or owners table in Google Cloud Spanner, so provisioning and de-provisioning flow from one source.
A new or changed row in Google Cloud Spanner 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.
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 Spanner objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Change streams Capture inserts, updates, and deletes for log-style change data capture. | 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. | Change streams is specific to Google Cloud Spanner and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side. | |
| Views Read-only projections useful for shaping data before it leaves Spanner. | 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. | Views is specific to Google Cloud Spanner and Custom Events to Newrelic — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope schema and sync configuration. | 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. | Databases is specific to Google Cloud Spanner and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped one-to-one to sync targets. | 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 Google Cloud Spanner and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write in each sync cycle, keyed by primary key. | 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. | Rows is specific to Google Cloud Spanner and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | 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. | Interleaved tables is specific to Google Cloud Spanner and NRQL Query Results 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.
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Newrelic connection.
Changes in Google Cloud Spanner or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner 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 Google Cloud Spanner or Newrelic record.
Track your Google Cloud Spanner ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner and Newrelic: authenticate both systems, choose the objects to sync (such as Google Cloud Spanner's Change streams and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Spanner: Change streams record row-level inserts, updates, and deletes and can be consumed through the API for CDC pipelines. Newrelic: NRQL queries run via the API are limited to 3,000 per account per minute with a 5-second default timeout and about 5,000 data points per response; the historical data export path can return far more. Stacksync's field mapping accounts for these differences between Google Cloud Spanner and Newrelic without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Google Cloud Spanner and Newrelic records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Spanner and Newrelic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Spanner–Newrelic integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Spanner and Newrelic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. 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.
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 306 integrations available for Google Cloud Spanner and Newrelic.