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Datadog to ServiceNow integration — real-time, two-way sync

Keep Datadog and ServiceNow in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Datadog and ServiceNow

Connect the tickets, records, and events in ServiceNow to the systems engineering runs in Datadog, kept current in real time and in both directions.

ServiceNow is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Datadog is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Tasks, Knowledge Articles, Custom Tables, Incidents in ServiceNow with Incidents, Service Level Objectives, Hosts, Monitors in Datadog field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Keep CMDB configuration items aligned with asset inventories and cloud resource databases
  • 02 Sync sys_user records with the HR system or identity provider so assignment groups stay accurate
  • 03 Sync Monitors and their alert state into Postgres so reliability teams query alert history and noisy-monitor trends in SQL.
  • 04 Provision and update Datadog Monitors from a config database or Git so alert definitions stay consistent across teams and environments.

Common sync patterns

Where Datadog is the directory or identity source: one set of users

People and accounts in ServiceNow stay matched to the users in Datadog, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where Datadog watches operations: live volumes for visibility

Open items, throughput, and error counts from ServiceNow replicate into Datadog, so the operational view reflects what is actually happening in the business.

One shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

What you can sync between Datadog and ServiceNow

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.

Datadog objects ServiceNow objects How this pairing syncs
Incidents Incident records from the v2 Incidents API with full CRUD, including status and timeline fields; landed in a database for MTTR reporting or created and updated from an external incident workflow. Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Dashboards Dashboard definitions and widgets via the v1 Dashboards API with full CRUD; exported for backup and audit, or created and updated programmatically from a source of truth. Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. Dashboards is specific to Datadog and Custom Tables to ServiceNow — each maps to any object or custom field on the other side.
Metrics Time-series metrics queried in aggregate windows through the query API and submitted via POST /api/v1/series; individual raw points cannot be extracted beyond retention. Change Requests Track planned changes; synced to deployment and release tooling. Metrics is specific to Datadog and Change Requests to ServiceNow — each maps to any object or custom field on the other side.
Service Level Objectives SLO definitions and status history via the v1 SLO API with full CRUD; read out for reliability and error-budget reporting, or provisioned and updated from a reliability config. Problems Root-cause records linked to incidents, useful in cross-system reporting. Service Level Objectives is specific to Datadog and Problems to ServiceNow — each maps to any object or custom field on the other side.
Hosts Infrastructure host inventory with tags and metadata from the v1 host list API; loaded into a CMDB or warehouse for asset tracking, and hosts can be muted or unmuted via the API. Service Catalog Requests Requested items and approvals that often trigger provisioning in other systems. Hosts is specific to Datadog and Service Catalog Requests to ServiceNow — each maps to any object or custom field on the other side.
Monitors Alert definitions with query, thresholds, and current state via the v1 Monitors API, which supports full create, update, and delete; Stacksync reads alert state into a warehouse or provisions and updates monitors from a config source. Configuration Items (CMDB) Asset and infrastructure records synced with discovery tools and asset databases. Monitors is specific to Datadog and Configuration Items (CMDB) to ServiceNow — each maps to any object or custom field on the other side.

How changes propagate between Datadog and ServiceNow

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.

Datadog ServiceNow Sub-second propagation

DetectionDatadog notifies Stacksync of record changes through webhook events. Polling with time-windowed search queries on Logs and Events (timestamp cursor).

DeliveryEach detected change is written to ServiceNow through its API, with automatic retries and rate-limit backoff.

ServiceNow Datadog Interval-based propagation

DetectionStacksync polls ServiceNow for changes on an incremental schedule, reading only records changed since the previous pass. Polling on sys_updated_on timestamps.

DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Datadog: Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
  • ServiceNow: Subject to instance-level API rate limits and concurrency semaphores configured by administrators.
What ships with Datadog ⇄ ServiceNow

Connect Datadog and ServiceNow for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–ServiceNow connection.

Real-time

Two-way sync

Changes in Datadog or ServiceNow instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Datadog or ServiceNow data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Datadog or ServiceNow record.

Observability

Monitoring

Track your Datadog ⇄ ServiceNow sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Datadog and ServiceNow.

How the Datadog and ServiceNow connectors work

Datadog

Integration surface
REST API (v1 and v2)
Authentication
API key (DD-API-KEY) plus an Application key (DD-APPLICATION-KEY) sent as request headers; application keys are tied to the creating user and inherit that user's permissions and authorization scopes.
Change detection
Polling with time-windowed search queries on Logs and Events (timestamp cursor); monitor alerts can also push via the Webhooks notification integration. No modified-date CDC on mutable objects.
Capabilities
read · write · webhooks
Rate limits
Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.

ServiceNow

Integration surface
REST API (Table, Import Set, and Aggregate APIs); SOAP remains for legacy integrations
Authentication
OAuth 2.0 or basic authentication against the instance
Change detection
Polling on sys_updated_on timestamps; instance admins can configure outbound push through business rules or Flow Designer
Capabilities
read · write
Rate limits
Subject to instance-level API rate limits and concurrency semaphores configured by administrators
How it works

How to connect Datadog to ServiceNow — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Datadog and ServiceNow with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Datadog connected
    ServiceNow connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Datadog and ServiceNow 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Datadog ⇄ ServiceNow
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Datadog ServiceNow
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Datadog and ServiceNow integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 364 integrations available for Datadog and ServiceNow.

Popular · 7 of 364
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