Two-way sync
Changes in IBM Informix or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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.
IBM Informix 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 Rows, Views, TimeSeries objects, Stored procedures in IBM Informix with Change Tracking (Deployments), Dashboards, Alert Policies & Conditions, NRQL Query Results 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.
A new or changed row in IBM Informix 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.
Records and events from Newrelic arrive in IBM Informix as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in IBM Informix and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| IBM Informix objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | 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 is specific to IBM Informix and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | 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. | Logical logs is specific to IBM Informix and Entities to Newrelic — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | 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. | Databases is specific to IBM Informix and Workloads to Newrelic — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped directly to sync targets. | 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 IBM Informix and Synthetics Monitors to Newrelic — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | 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. | Rows is specific to IBM Informix and Custom Events 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.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Newrelic connection.
Changes in IBM Informix or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 IBM Informix or Newrelic record.
Track your IBM Informix ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 IBM Informix 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 IBM Informix 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 IBM Informix and Newrelic: authenticate both systems, choose the objects to sync (such as IBM Informix's TimeSeries objects and Stored procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the IBM Informix side: Rows, Views, TimeSeries objects, Stored procedures, plus custom fields where IBM Informix exposes them. On the Newrelic side: Change Tracking (Deployments), Dashboards, Alert Policies & Conditions, NRQL Query Results. 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 IBM Informix and Newrelic: Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. A new or changed row in IBM Informix 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.
IBM Informix: SQL over JDBC/ODBC drivers; DRDA connectivity is also supported. Authentication: Database credentials. 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.
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 335 integrations available for IBM Informix and Newrelic.