Two-way sync
Changes in DuckDB or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB 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.
Engineers integrate with tools like ServiceNow through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in DuckDB.
Stacksync mirrors Problems, Service Catalog Requests, Configuration Items (CMDB), Users and Groups from ServiceNow into Tables, Views, External files (Parquet/CSV/JSON), Attached databases in DuckDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into ServiceNow, so the tool and the database never disagree.
Records from ServiceNow are ordinary rows in DuckDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in DuckDB and Stacksync propagates the change into ServiceNow, replacing custom integration code.
Updates in ServiceNow arrive as row changes in DuckDB, so triggers, jobs, and services can respond in near real time.
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.
| DuckDB objects | ServiceNow objects | |
|---|---|---|
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | |
| Views SQL views used to shape or filter data for downstream consumers. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Change Requests Track planned changes; synced to deployment and release tooling. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Problems Root-cause records linked to incidents, useful in cross-system reporting. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Service Catalog Requests Requested items and approvals that often trigger provisioning in other systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–ServiceNow connection.
Changes in DuckDB or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or ServiceNow data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or ServiceNow record.
Track your DuckDB ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and ServiceNow.
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 DuckDB 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.
Pick the DuckDB 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.
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 DuckDB and ServiceNow: authenticate both systems, choose the objects to sync (such as DuckDB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the ServiceNow side: Problems, Service Catalog Requests, Configuration Items (CMDB), Users and Groups, plus custom fields where ServiceNow exposes them. On the DuckDB side: Tables, Views, External files (Parquet/CSV/JSON), Attached databases. 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 DuckDB and ServiceNow: Read ServiceNow with a query; Automate ServiceNow from your codebase; React to changes as they happen. Records from ServiceNow are ordinary rows in DuckDB; join them, index them, and use them in application logic without touching the vendor API.
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). ServiceNow: REST API (Table, Import Set, and Aggregate APIs); SOAP remains for legacy integrations. Authentication: OAuth 2.0 or basic authentication against the instance. Stacksync manages authentication, retries, and rate limits on both sides.
ServiceNow: Every record is a row in a table identified by a sys_id GUID, and the Table API addresses standard and custom tables uniformly. DuckDB: DuckDB runs in-process like SQLite; there is no server, so integrations embed the engine or operate on the single-file databases it produces. Stacksync's field mapping accounts for these differences between DuckDB and ServiceNow without custom code.
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 386 integrations available for DuckDB and ServiceNow.