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Data warehouse ⇄ Business productivity

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

Keep Databricks 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 Databricks and ServiceNow

Get the data locked inside ServiceNow into Databricks as live tables, and send results back where ServiceNow can use them, without writing a pipeline.

Whatever ServiceNow is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Knowledge Articles, Custom Tables, Incidents, Change Requests from ServiceNow into tables in Databricks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Databricks can also be written back into fields in ServiceNow where the tool can use them.

Common use cases

  • Keep CMDB configuration items aligned with asset inventories and cloud resource databases
  • Sync sys_user records with the HR system or identity provider so assignment groups stay accurate
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.

Where ServiceNow accepts updates: operational write-back

Segments, scores, or reference values computed in Databricks sync back onto records in ServiceNow, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Databricks preserves a queryable record even as data ages out of ServiceNow or gets changed inside it.

Analytics on ServiceNow's data

Records and events from ServiceNow land in Databricks as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Databricks 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.

Databricks objects ServiceNow objects
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Users and Groups Sys_user and group tables synced with HR systems and identity providers.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Tasks The base task table that incidents, changes, and requests extend.
Views Curated read-only projections used as sync sources for downstream tools. Knowledge Articles Support content that can be mirrored to help centers or search indexes.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones.
Volumes Unity Catalog file storage used for staging bulk loads. Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs.
SQL Warehouses The compute endpoint a sync connects to for query execution. Change Requests Track planned changes; synced to deployment and release tooling.
What ships with Databricks ⇄ ServiceNow

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or ServiceNow record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Databricks and ServiceNow connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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

    Choose tables

    Pick the Databricks 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 · Databricks ⇄ 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
    Databricks ServiceNow
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and ServiceNow integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Databricks and ServiceNow.

Popular · 8 of 386
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