Two-way sync
Changes in AWS Aurora MySQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 MySQL.
Stacksync mirrors Knowledge Articles, Custom Tables, Incidents, Change Requests from ServiceNow into Columns, Primary keys and indexes, Views, Foreign keys in AWS Aurora MySQL 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.
Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into ServiceNow, replacing custom integration code.
Updates in ServiceNow arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 MySQL objects | ServiceNow objects | |
|---|---|---|
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Tasks The base task table that incidents, changes, and requests extend. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Change Requests Track planned changes; synced to deployment and release tooling. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Problems Root-cause records linked to incidents, useful in cross-system reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–ServiceNow connection.
Changes in AWS Aurora MySQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or ServiceNow record.
Track your AWS Aurora MySQL ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 MySQL 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 MySQL 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 MySQL and ServiceNow: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Foreign keys and Stored procedures and triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL 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: Reference fields return sys_ids by default; the sysparm_display_value parameter switches to human-readable values, which affects field mapping. AWS Aurora MySQL: Aurora separates compute from a distributed storage layer that replicates data six ways across three Availability Zones, independent of the instances that CDC readers and sync writers connect to. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and ServiceNow without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora MySQL and ServiceNow records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and ServiceNow connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–ServiceNow integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and ServiceNow. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 MySQL and ServiceNow.