Two-way sync
Changes in AWS Aurora PostgreSQL or Workday instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Workday in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Connecting Workday to AWS Aurora PostgreSQL gives internal systems direct SQL access to HR and finance data. Workday Workers, Positions, and Compensation records replicate into Aurora Tables, so downstream applications read current workforce data without custom Workday integrations.
Stacksync mirrors Suppliers, Customers and Invoices, Journal Entries, Custom Reports (RaaS) from Workday into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora PostgreSQL, and rows your code writes or updates flow back into Workday with validation, so the finance system stays the system of record.
Workday Workers and Positions replicate into Aurora Tables that identity and provisioning systems query.
Workday Compensation and Payroll Results land as Aurora Rows for finance analysis under database access controls.
Workday Organizations sync to Aurora Tables powering internal org charts and approvals routing.
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 | Workday objects | How this pairing syncs | |
|---|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Compensation Pay components read into payroll, planning, and equity systems under strict access control. | Columns is specific to AWS Aurora PostgreSQL and Compensation to Workday — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Time Off and Absence Balances and requests synced with scheduling and workforce tools. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Time Off and Absence to Workday — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Payroll Results Completed pay data exported to finance and benefits systems. | Views and materialized views is specific to AWS Aurora PostgreSQL and Payroll Results to Workday — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Suppliers Workday Financials vendor records aligned with procurement tools. | Foreign keys is specific to AWS Aurora PostgreSQL and Suppliers to Workday — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Customers and Invoices Financials receivables objects synced for billing visibility where Workday Financials is used. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Customers and Invoices to Workday — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Journal Entries Accounting entries imported from external subledgers into Workday Financials. | Databases and schemas is specific to AWS Aurora PostgreSQL and Journal Entries to Workday — 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 AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Workday through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Workday for changes on an incremental schedule, reading only records changed since the previous pass. Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Workday connection.
Changes in AWS Aurora PostgreSQL or Workday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Workday 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 Workday record.
Track your AWS Aurora PostgreSQL ⇄ Workday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Workday.
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 Workday 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 Workday 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 Workday: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 PostgreSQL and Workday records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Workday connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Workday integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Workday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Workday: Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment; no general webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Workday side: Suppliers, Customers and Invoices, Journal Entries, Custom Reports (RaaS), plus custom fields where Workday exposes them. On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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 441 integrations available for AWS Aurora PostgreSQL and Workday.