Real-time
Two-way sync
Changes in Anaplan or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Anaplan to Postgres Heroku integration — real-time, two-way sync
Keep Anaplan and Postgres Heroku 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 Anaplan and Postgres Heroku
Work with Anaplan'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 Import and Export Actions, Processes, Cell Data, Models from Anaplan into Follower Databases, Tables, Views, Materialized Views 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 Anaplan with validation, so the finance system stays the system of record.
Common use cases
- 01 Keep dimension lists (products, cost centers, territories) aligned with master data systems of record.
- 02 Export forecast versions to a warehouse for variance reporting against actuals.
- 03 Reflect billing and subscription records into the app database so product logic reads local rows
- 04 Expose CRM objects as Postgres tables the Heroku application can query and join directly
Common sync patterns
React to financial events
Changes in Anaplan 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 Anaplan live in Postgres Heroku as regular tables or collections your team can join, index, and query.
Internal tools without API plumbing
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Anaplan.
What you can sync between Anaplan and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| List Items Individual dimension members created or updated from external systems of record. | Views Read-side projections exposed to outbound syncs. | List Items is specific to Anaplan and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Materialized Views Precomputed result sets synced outward on refresh. | Versions is specific to Anaplan and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Schemas Namespaces that scope which tables a sync reads and writes. | Import and Export Actions is specific to Anaplan and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Processes is specific to Anaplan and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Cell Data Individual intersections readable and writable through the transactional API. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Cell Data is specific to Anaplan and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Sequences Generate surrogate keys for rows created by inbound syncs. | Models is specific to Anaplan and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Anaplan and Postgres Heroku
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.
Anaplan Postgres Heroku Interval-based propagation
DetectionStacksync polls Anaplan for changes on an incremental schedule, reading only records changed since the previous pass. Polling and scheduled export actions.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Anaplan 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 Anaplan through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Anaplan: Subject to the platform's API rate limits; large data movements are designed to run through bulk actions.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Anaplan ⇄ Postgres Heroku
Connect Anaplan and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Anaplan ⇄ Postgres Heroku 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 Postgres Heroku.
How the Anaplan and Postgres Heroku 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
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
How it works
How to connect Anaplan to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Anaplan's List Items and Versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Anaplan and Postgres Heroku: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Anaplan appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
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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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Anaplan: Data movement at volume goes through predefined import and export actions executed by the Bulk API, so integrations depend on actions defined inside the model. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Anaplan and Postgres Heroku 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 Postgres Heroku records are not retained after a sync operation.
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:
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