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Data warehouse ⇄ Developer tools

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

Keep Firebolt 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 Firebolt and Newrelic

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

Firebolt is the central store where teams keep External tables, Views, Aggregating indexes, Engines 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 Dashboards, Alert Policies & Conditions, NRQL Query Results, Entities produced in Newrelic are exactly what analysts want to measure in Firebolt, and the curated rows in Firebolt 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 External tables, Views, Aggregating indexes, Engines in Firebolt with Dashboards, Alert Policies & Conditions, NRQL Query Results, Entities 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 Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
  • 02 Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).
  • 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.
  • 04 Record deployment and change markers from CI/CD through NerdGraph change tracking to correlate releases with performance and error-rate shifts.

Common sync patterns

Operational data lands in Firebolt for analytics

Records created in Newrelic — issues, events, messages, metrics, or user changes — replicate into Firebolt 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 Firebolt creates or updates the matching record in Newrelic, so the operational tool acts on the same data the analysts already see.

Backfill history, then stay live

Load the existing set of Dashboards, Alert Policies & Conditions, NRQL Query Results, Entities into Firebolt once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

What you can sync between Firebolt 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.

Firebolt objects Newrelic objects How this pairing syncs
Databases Logical containers holding the tables a sync targets. 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. Databases is specific to Firebolt and Entities to Newrelic — each maps to any object or custom field on the other side.
Tables Managed columnar tables written with SQL; the main sync destination. 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. Tables is specific to Firebolt and Workloads to Newrelic — each maps to any object or custom field on the other side.
External tables References to files in object storage used to stage bulk loads. 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. External tables is specific to Firebolt and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side.
Views Curated query surfaces commonly used as sources for reverse ETL. 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 Firebolt and Custom Events to Newrelic — each maps to any object or custom field on the other side.
Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. 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. Aggregating indexes is specific to Firebolt and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side.
Engines Compute resources that must be running for a sync to read or write. 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. Engines is specific to Firebolt and Dashboards to Newrelic — each maps to any object or custom field on the other side.

How changes propagate between Firebolt 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.

Firebolt Newrelic Interval-based propagation

DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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

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

Rate-limit considerations

  • Firebolt: No fixed request quota; throughput depends on the engine size attached to the workload.
  • 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 Firebolt ⇄ Newrelic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebolt 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 Firebolt or Newrelic record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Firebolt and Newrelic connectors work

Firebolt

Integration surface
SQL over a REST API, with JDBC, Python, and Node.js SDKs
Authentication
Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
Change detection
Polling; Firebolt is an analytics destination and does not expose a change feed
Capabilities
read · write
Rate limits
No fixed request quota; throughput depends on the engine size attached to the workload

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

    Choose tables

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

Firebolt 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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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 320 integrations available for Firebolt and Newrelic.

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