Two-way sync
Changes in Newrelic or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Newrelic and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SingleStore 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 Indexes and Shard Keys, Databases, Tables (rowstore and columnstore), Views in SingleStore with Entities, Workloads, Synthetics Monitors, Custom Events 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 SingleStore 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 SingleStore, and writes to SingleStore 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 SingleStore, 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 | SingleStore objects | How this pairing 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Custom Events is specific to Newrelic and Tables (rowstore and columnstore) to SingleStore — 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. | Views Read-only projections used as curated sync sources. | Change Tracking (Deployments) is specific to Newrelic and Views to SingleStore — 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. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Dashboards is specific to Newrelic and Reference Tables to SingleStore — 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. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Alert Policies & Conditions is specific to Newrelic and Pipelines to SingleStore — 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. | Stored Procedures Existing logic sometimes invoked on write paths. | NRQL Query Results is specific to Newrelic and Stored Procedures to SingleStore — 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. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Entities is specific to Newrelic and Indexes and Shard Keys to SingleStore — 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 SingleStore as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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–SingleStore connection.
Changes in Newrelic or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Newrelic or SingleStore 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 SingleStore record.
Track your Newrelic ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Newrelic and SingleStore.
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 SingleStore 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 SingleStore 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 SingleStore: authenticate both systems, choose the objects to sync (such as Newrelic's Custom Events and Change Tracking (Deployments)), 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 SingleStore: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Newrelic manages users or groups: keep identity aligned. Read and write the synced tables in SingleStore and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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). SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Newrelic: NerdGraph enforces 25 concurrent requests per user - a concurrency cap rather than a request-rate cap - and returns HTTP 429 when it is exceeded. Stacksync's field mapping accounts for these differences between Newrelic and SingleStore 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 SingleStore 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 328 integrations available for Newrelic and SingleStore.