Real-time
Two-way sync
Changes in Anaplan or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Anaplan to AWS Aurora PostgreSQL integration — real-time, two-way sync
Keep Anaplan and AWS Aurora PostgreSQL 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
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Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Anaplan and AWS Aurora PostgreSQL
Work with Anaplan's financial data straight from AWS Aurora PostgreSQL: 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 Lists, List Items, Versions, Import and Export Actions from Anaplan into Rows, Columns, Primary keys and constraints, Views and materialized views 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 Anaplan with validation, so the finance system stays the system of record.
Common use cases
- Sync CRM pipeline data into Anaplan for sales capacity and quota planning.
- Push approved plan and target numbers from Anaplan back to the CRM or compensation systems.
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
Internal tools without API plumbing
Build dashboards and back-office tools directly on AWS Aurora PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Anaplan.
Write back safely
Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Anaplan, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Anaplan appear in AWS Aurora PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
What you can sync between Anaplan and AWS Aurora PostgreSQL
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.
| Anaplan objects | AWS Aurora PostgreSQL objects | |
|---|---|---|
| Modules Multidimensional grids of line items where plan data lives; the main read/write surface. | Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | |
| Line Items The measures within a module, mapped to columns or metrics in syncs. | Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | |
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | |
| List Items Individual dimension members created or updated from external systems of record. | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Replication slots and publications The logical replication objects that power log-based CDC. |
What ships with Anaplan ⇄ AWS Aurora PostgreSQL
Connect Anaplan and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or AWS Aurora PostgreSQL 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 Anaplan or AWS Aurora PostgreSQL record.
Observability
Monitoring
Track your Anaplan ⇄ AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Anaplan and AWS Aurora PostgreSQL.
How the Anaplan and AWS Aurora PostgreSQL connectors work
Anaplan
- Integration surface
- REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data
- Authentication
- Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service
- Change detection
- Polling and scheduled export actions; the platform does not expose change events
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; large data movements are designed to run through bulk actions
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Anaplan to AWS Aurora PostgreSQL — 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 Anaplan and AWS Aurora PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Anaplan
connected
AWS Aurora PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and AWS Aurora PostgreSQL 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 · Anaplan ⇄ AWS Aurora PostgreSQLCustomers 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.
Anaplan AWS Aurora PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and AWS Aurora PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Anaplan's Modules and Line Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Anaplan: REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data. Authentication: Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service. AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Anaplan: Plan data lives in multidimensional modules of line items dimensioned by lists and versions, not in flat tables, so syncs map intersections rather than rows. AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Stacksync's field mapping accounts for these differences between Anaplan and AWS Aurora PostgreSQL without custom code.
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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 Anaplan and AWS Aurora PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Anaplan and AWS Aurora PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Anaplan–AWS Aurora PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Anaplan and AWS Aurora PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams love 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
CSA STAR
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
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Anaplan and AWS Aurora PostgreSQL.
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AWS Aurora PostgreSQL ⇄ Chargebee -
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No integrations match .
