Two-way sync
Changes in Newrelic or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Keep Newrelic and Oracle DB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Oracle DB 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 Sequences, PL/SQL procedures and packages, Partitions, JSON columns in Oracle DB with Custom Events, Change Tracking (Deployments), Dashboards, Alert Policies & Conditions 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.
Read and write the synced tables in Oracle DB and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Newrelic arrive as row changes in Oracle DB, and writes to Oracle DB 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 Oracle DB, so provisioning and de-provisioning flow from one source.
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 | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Materialized views Precomputed results occasionally used as stable replication sources | Synthetics Monitors is specific to Newrelic and Materialized views to Oracle DB — 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. | Schemas Per-user namespaces that scope sync permissions and object visibility | Custom Events is specific to Newrelic and Schemas to Oracle DB — 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. | Sequences Key generators to respect when external systems insert rows | Change Tracking (Deployments) is specific to Newrelic and Sequences to Oracle DB — 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. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Dashboards is specific to Newrelic and PL/SQL procedures and packages to Oracle DB — 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. | Partitions Physical subdivisions relevant when replicating high-volume tables | Alert Policies & Conditions is specific to Newrelic and Partitions to Oracle DB — 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. | JSON columns Document data stored in the converged engine and synced alongside relational rows | NRQL Query Results is specific to Newrelic and JSON columns to Oracle DB — 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 Oracle DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
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–Oracle DB connection.
Changes in Newrelic or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Newrelic or Oracle DB 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 Oracle DB record.
Track your Newrelic ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Newrelic and Oracle DB.
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 Oracle DB 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 Oracle DB 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 Oracle DB: authenticate both systems, choose the objects to sync (such as Newrelic's Synthetics Monitors and Custom Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Newrelic and Oracle DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Newrelic–Oracle DB integration in-house.
Yes — Stacksync ships production-grade connectors for both Newrelic and Oracle DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Oracle DB side: Sequences, PL/SQL procedures and packages, Partitions, JSON columns, plus custom fields where Oracle DB exposes them. On the Newrelic side: Custom Events, Change Tracking (Deployments), Dashboards, Alert Policies & Conditions. 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.
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 337 integrations available for Newrelic and Oracle DB.