Two-way sync
Changes in IBM Db2 or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 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 Db2 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 Databases, Schemas, Tables, Views in IBM Db2 with Alert Policies & Conditions, NRQL Query Results, Entities, Workloads 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 IBM Db2, and writes to IBM Db2 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 IBM Db2, so provisioning and de-provisioning flow from one source.
A new or changed row in IBM Db2 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.
| IBM Db2 objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Sequences ID generation relevant when external systems insert rows. | 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 is specific to IBM Db2 and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| Tablespaces Physical storage layout that operators consider when adding synced tables. | 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. | Tablespaces is specific to IBM Db2 and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Databases The connection target; each database holds the schemas a sync addresses. | 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. | Databases is specific to IBM Db2 and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Schemas Namespaces separating synced data from application and system objects. | 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. | Schemas is specific to IBM Db2 and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | 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. | Tables is specific to IBM Db2 and Entities to Newrelic — each maps to any object or custom field on the other side. | |
| Views Read-only projections often used to expose curated slices to a sync. | 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. | Views is specific to IBM Db2 and Workloads 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 Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
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 Db2 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 Db2–Newrelic connection.
Changes in IBM Db2 or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 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 Db2 or Newrelic record.
Track your IBM Db2 ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 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 Db2 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 Db2 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 Db2 and Newrelic: authenticate both systems, choose the objects to sync (such as IBM Db2's Sequences and Tablespaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 IBM Db2 and Newrelic records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Db2 and Newrelic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Db2–Newrelic integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Db2 and Newrelic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. 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 Db2 side: Databases, Schemas, Tables, Views, plus custom fields where IBM Db2 exposes them. On the Newrelic side: Alert Policies & Conditions, NRQL Query Results, Entities, Workloads. Stacksync auto-detects both schemas and converts types between the two systems.
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 331 integrations available for IBM Db2 and Newrelic.