Real-time
Two-way sync
Changes in Postgres Heroku or Workday instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
Postgres Heroku to Workday integration — real-time, two-way sync
Keep Postgres Heroku 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Workday
Work with Workday's financial data straight from Postgres Heroku: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Customers and Invoices, Journal Entries, Custom Reports (RaaS), Workers from Workday into Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases in Postgres Heroku and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Postgres Heroku, and rows your code writes or updates flow back into Workday with validation, so the finance system stays the system of record.
Common use cases
- 01 Import journal entries from external billing or expense systems into Workday Financials.
- 02 Keep supervisory-organization hierarchies aligned with planning and workforce tools that model the same structure.
- 03 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 04 Keep several Heroku app databases aligned with one system of record
Common sync patterns
Write back safely
Updates written to the synced tables in Postgres Heroku propagate into Workday, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Workday appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
Query finance data like any other data
Customers, invoices, and payments from Workday live in Postgres Heroku as regular tables or collections your team can join, index, and query.
What you can sync between Postgres Heroku and Workday
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.
| Postgres Heroku objects | Workday objects | How this pairing syncs | |
|---|---|---|---|
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Payroll Results Completed pay data exported to finance and benefits systems. | Follower Databases is specific to Postgres Heroku and Payroll Results to Workday — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Suppliers Workday Financials vendor records aligned with procurement tools. | Tables is specific to Postgres Heroku and Suppliers to Workday — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Customers and Invoices Financials receivables objects synced for billing visibility where Workday Financials is used. | Views is specific to Postgres Heroku and Customers and Invoices to Workday — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Journal Entries Accounting entries imported from external subledgers into Workday Financials. | Materialized Views is specific to Postgres Heroku and Journal Entries to Workday — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Custom Reports (RaaS) Tenant-defined reports exposed as web service endpoints, often the practical read surface for syncs. | Schemas is specific to Postgres Heroku and Custom Reports (RaaS) to Workday — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Workers The central HCM record covering employment, job, and personal data; the anchor of most syncs. | Primary and Unique Keys is specific to Postgres Heroku and Workers to Workday — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and Workday
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.
Postgres Heroku Workday Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Workday through its API, with automatic retries and rate-limit backoff.
Workday Postgres Heroku Interval-based propagation
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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Postgres Heroku ⇄ Workday
Connect Postgres Heroku and Workday for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Workday connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Workday data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Postgres Heroku or Workday record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Workday sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Workday.
How the Postgres Heroku and Workday connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
Workday
- Integration surface
- SOAP Workday Web Services (WWS), a REST API, and Reports-as-a-Service (RaaS) endpoints for custom reports
- Authentication
- OAuth 2.0 for the REST API; integration system users with WS-Security or certificate-based auth for SOAP
- Change detection
- Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment; no general webhook surface
- Capabilities
- read · write
How it works
How to connect Postgres Heroku to Workday — three steps, no code
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.
- 01
Connect your apps
Authenticate Postgres Heroku 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.
Postgres Heroku
connected
Workday
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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.
objects · Postgres Heroku ⇄ WorkdayCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Postgres Heroku WorkdayCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Workday integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Workday: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Workday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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.
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On the Workday side: Customers and Invoices, Journal Entries, Custom Reports (RaaS), Workers, plus custom fields where Workday exposes them. On the Postgres Heroku side: Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Postgres Heroku and Workday: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Postgres Heroku propagate into Workday, so automations can create or correct finance records without custom integration code.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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