Two-way sync
Changes in Amazon Aurora or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Sysaid 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 Sysaid 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 Amazon Aurora.
Stacksync mirrors Users, Assets, Configuration Items (CIs), Companies from Sysaid into Read Replicas, Databases, Schemas, Tables in Amazon Aurora 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 Sysaid, 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 Sysaid are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Sysaid, 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.
| Amazon Aurora objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only query-backed sources for downstream syncs. | Companies Customer and department organizations that scope tickets and users; mapped to Accounts in a CRM or org tables in a database. | Views is specific to Amazon Aurora and Companies to Sysaid — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. | Materialized Views is specific to Amazon Aurora and Custom Fields to Sysaid — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Columns and Data Types is specific to Amazon Aurora and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Primary and Foreign Keys is specific to Amazon Aurora and Service Requests to Sysaid — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. | Read Replicas is specific to Amazon Aurora and Problems to Sysaid — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. | Databases is specific to Amazon Aurora and Changes to Sysaid — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Sysaid through its API, with automatic retries and rate-limit backoff.
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Sysaid connection.
Changes in Amazon Aurora or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Sysaid data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Sysaid record.
Track your Amazon Aurora ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Sysaid.
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 Amazon Aurora and Sysaid 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 Amazon Aurora and Sysaid 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 Amazon Aurora and Sysaid: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Sysaid: The v1 API authenticates with client-credentials app keys, and each organization is limited to 100 application keys, so an integration should reuse a single key. Amazon Aurora: A cluster exposes distinct writer and reader endpoints, and supports multiple read replicas, so sync reads can be isolated from transactional writes. Stacksync's field mapping accounts for these differences between Amazon Aurora and Sysaid 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 Amazon Aurora and Sysaid records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Sysaid integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Sysaid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 439 integrations available for Amazon Aurora and Sysaid.