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Data warehouse ⇄ Business productivity

Apache Druid to ServiceNow integration — real-time, two-way sync

Keep Apache Druid 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.

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

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Why teams connect Apache Druid and ServiceNow

Get the data locked inside ServiceNow into Apache Druid 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 Service Catalog Requests, Configuration Items (CMDB), Users and Groups, Tasks from ServiceNow into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in ServiceNow where the tool can use them.

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 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • 04 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.

Common sync patterns

Cross-tool reporting

Combine ServiceNow's data with data from every other synced system to answer questions no single tool can.

Where ServiceNow accepts updates: operational write-back

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

History that outlives the tool

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

What you can sync between Apache Druid 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.

Apache Druid objects ServiceNow objects How this pairing syncs
Tasks Batch ingestion and compaction jobs monitored during data loads. Tasks The base task table that incidents, changes, and requests extend. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Configuration Items (CMDB) Asset and infrastructure records synced with discovery tools and asset databases. Datasources is specific to Apache Druid and Configuration Items (CMDB) to ServiceNow — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Users and Groups Sys_user and group tables synced with HR systems and identity providers. Segments is specific to Apache Druid and Users and Groups to ServiceNow — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Knowledge Articles Support content that can be mirrored to help centers or search indexes. Dimensions is specific to Apache Druid and Knowledge Articles to ServiceNow — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. Metrics is specific to Apache Druid and Custom Tables to ServiceNow — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. Ingestion Supervisors is specific to Apache Druid and Incidents to ServiceNow — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid ServiceNow Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

ServiceNow Apache Druid 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 applied to Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • ServiceNow: Subject to instance-level API rate limits and concurrency semaphores configured by administrators.
What ships with Apache Druid ⇄ ServiceNow

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or ServiceNow record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and ServiceNow connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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

    Choose tables

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

Apache Druid 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
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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 419 integrations available for Apache Druid and ServiceNow.

Popular · 6 of 419
All Apache Druid integrations All ServiceNow integrations Browse all integrations
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