Two-way sync
Changes in Newrelic or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Newrelic and TimescaleDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
TimescaleDB 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 Views, Schemas, Hypertables, Chunks in TimescaleDB with Synthetics Monitors, Custom Events, Change Tracking (Deployments), Dashboards 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 TimescaleDB, and writes to TimescaleDB 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 TimescaleDB, so provisioning and de-provisioning flow from one source.
A new or changed row in TimescaleDB 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.
| Newrelic objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Change Tracking (Deployments) is specific to Newrelic and Regular PostgreSQL Tables to TimescaleDB — 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. | Views Standard SQL views used to shape or filter data for consumers. | Dashboards is specific to Newrelic and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Alert Policies & Conditions is specific to Newrelic and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | NRQL Query Results is specific to Newrelic and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Entities is specific to Newrelic and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Workloads is specific to Newrelic and Continuous Aggregates to TimescaleDB — 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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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–TimescaleDB connection.
Changes in Newrelic or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Newrelic or TimescaleDB 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 TimescaleDB record.
Track your Newrelic ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Newrelic and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Newrelic's Change Tracking (Deployments) and Dashboards), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the TimescaleDB side: Views, Schemas, Hypertables, Chunks, plus custom fields where TimescaleDB exposes them. On the Newrelic side: Synthetics Monitors, Custom Events, Change Tracking (Deployments), Dashboards. Stacksync auto-detects both schemas and converts types between the two systems.
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 TimescaleDB: React to changes on either side in near real time; Where Newrelic manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Newrelic arrive as row changes in TimescaleDB, and writes to TimescaleDB propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.
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). TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Newrelic: New Relic is region-scoped (US, EU, JP): NerdGraph is api.newrelic.com/graphql, api.eu.newrelic.com/graphql, or api.jp.newrelic.com/graphql, and keys and data belong to a single region. Stacksync's field mapping accounts for these differences between Newrelic and TimescaleDB without custom code.
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 308 integrations available for Newrelic and TimescaleDB.