Two-way sync
Changes in Amazon Redshift or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Amazon Redshift is the central store where teams keep Users and Groups, Databases, Schemas, Tables 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 NRQL Query Results, Entities, Workloads, Synthetics Monitors produced in Newrelic are exactly what analysts want to measure in Amazon Redshift, and the curated rows in Amazon Redshift 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 Users and Groups, Databases, Schemas, Tables in Amazon Redshift 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 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.
A row scored, flagged, or enriched in Amazon Redshift 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 NRQL Query Results, Entities, Workloads, Synthetics Monitors into Amazon Redshift once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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.
| Amazon Redshift objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Tables Columnar tables used as sync destinations for SaaS and database data. | 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. | Tables is specific to Amazon Redshift and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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 Amazon Redshift and Custom Events to Newrelic — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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. | Materialized Views is specific to Amazon Redshift and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | 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. | Stored Procedures is specific to Amazon Redshift and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | 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. | Users and Groups is specific to Amazon Redshift 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Newrelic connection.
Changes in Amazon Redshift or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Newrelic record.
Track your Amazon Redshift ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Newrelic: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon Redshift and Newrelic: Warehouse signals reach Newrelic; Backfill history, then stay live; No batch jobs to babysit. A row scored, flagged, or enriched in Amazon Redshift creates or updates the matching record in Newrelic, so the operational tool acts on the same data the analysts already see.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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). Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: The Redshift Data API allows running SQL over HTTPS without managing persistent connections, which suits serverless integration jobs. Newrelic: Ingest is separate from query: the Event API takes up to 1MB per POST and 100,000 POSTs per minute per account with a License/Ingest key, distinct from the User key NerdGraph uses. Stacksync's field mapping accounts for these differences between Amazon Redshift 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 Amazon Redshift and Newrelic records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Redshift and Newrelic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Newrelic integration in-house.
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 421 integrations available for Amazon Redshift and Newrelic.