Two-way sync
Changes in Newrelic or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Newrelic and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
StarRocks is the central store where teams keep Tables, Materialized views, Views, Partitions 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 Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) produced in Newrelic are exactly what analysts want to measure in StarRocks, and the curated rows in StarRocks 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 Tables, Materialized views, Views, Partitions in StarRocks with Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) 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.
Records created in Newrelic — issues, events, messages, metrics, or user changes — replicate into StarRocks tables as they happen, so reporting runs on current data instead of last night's export.
A row scored, flagged, or enriched in StarRocks creates or updates the matching record in Newrelic, so the operational tool acts on the same data the analysts already see.
Load the existing set of Workloads, Synthetics Monitors, Custom Events, Change Tracking (Deployments) into StarRocks once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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 | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Entities is specific to Newrelic and Tables to StarRocks — 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. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Workloads is specific to Newrelic and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Synthetics Monitors is specific to Newrelic and Views to StarRocks — each maps to any object or custom field on the other side. | |
| 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. | Partitions Time or range partitions that scope loads and retention. | Custom Events is specific to Newrelic and Partitions to StarRocks — each maps to any object or custom field on the other side. | |
| 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. | Columns Columnar storage with types mapped from source systems during sync. | Change Tracking (Deployments) is specific to Newrelic and Columns to StarRocks — each maps to any object or custom field on the other side. | |
| 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. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Dashboards is specific to Newrelic and Databases to StarRocks — 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.
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 StarRocks as a row-level write, with types converted between the two schemas.
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
DeliveryEach detected change is written to Newrelic through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Newrelic–StarRocks connection.
Changes in Newrelic or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Newrelic or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Newrelic or StarRocks record.
Track your Newrelic ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Newrelic and StarRocks.
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 Newrelic and StarRocks 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 Newrelic and StarRocks 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 Newrelic and StarRocks: authenticate both systems, choose the objects to sync (such as Newrelic's Entities and Workloads), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Newrelic and StarRocks: Operational data lands in StarRocks for analytics; Warehouse signals reach Newrelic; Backfill history, then stay live. Records created in Newrelic — issues, events, messages, metrics, or user changes — replicate into StarRocks tables as they happen, so reporting runs on current data instead of last night's export.
Newrelic: 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). StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
StarRocks: It speaks the MySQL wire protocol, so standard MySQL clients, drivers, and BI tools connect without a special driver. 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 Newrelic and StarRocks 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 Newrelic and StarRocks records are not retained after a sync operation.
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 313 integrations available for Newrelic and StarRocks.