Two-way sync
Changes in AWS Aurora PostgreSQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL.
Stacksync mirrors Knowledge Articles, Custom Tables, Incidents, Change Requests from ServiceNow into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora PostgreSQL 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.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from ServiceNow are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into ServiceNow, replacing custom integration code.
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.
| AWS Aurora PostgreSQL objects | ServiceNow objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Service Catalog Requests Requested items and approvals that often trigger provisioning in other systems. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Configuration Items (CMDB) Asset and infrastructure records synced with discovery tools and asset databases. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Users and Groups Sys_user and group tables synced with HR systems and identity providers. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Tasks The base task table that incidents, changes, and requests extend. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–ServiceNow connection.
Changes in AWS Aurora PostgreSQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or ServiceNow record.
Track your AWS Aurora PostgreSQL ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and ServiceNow: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the ServiceNow side: Knowledge Articles, Custom Tables, Incidents, Change Requests, plus custom fields where ServiceNow exposes them. On the AWS Aurora PostgreSQL side: Replication slots and publications, Databases and schemas, Tables, Rows. 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 AWS Aurora PostgreSQL and ServiceNow: One integration pattern for the whole stack; Read ServiceNow with a query; Automate ServiceNow from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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: Business logic (business rules, ACLs) runs on API writes just as it does in the UI, so synced writes respect instance rules. AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and ServiceNow.