Two-way sync
Changes in Anaplan or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Anaplan and Render Postgres 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 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 Versions, Import and Export Actions, Processes, Cell Data from Anaplan into Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Render Postgres, and rows your code writes or updates flow back into Anaplan with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on Render Postgres; Stacksync handles the API calls, rate limits, and retries against Anaplan.
Updates written to the synced tables in Render Postgres propagate into Anaplan, so automations can create or correct finance records without custom integration code.
Changes in Anaplan appear in Render Postgres as row changes, so you can trigger downstream logic with the database tooling you already use.
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Lists is specific to Anaplan and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| List Items Individual dimension members created or updated from external systems of record. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | List Items is specific to Anaplan and Columns and Types to Render Postgres — 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. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Versions is specific to Anaplan and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Import and Export Actions is specific to Anaplan and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Processes is specific to Anaplan and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Cell Data is specific to Anaplan and Materialized Views to Render Postgres — 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.
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 Render Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Anaplan through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Render Postgres connection.
Changes in Anaplan or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Anaplan or Render Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Anaplan or Render Postgres record.
Track your Anaplan ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Anaplan and Render Postgres.
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 Anaplan and Render Postgres 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 Anaplan and Render Postgres 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 Anaplan and Render Postgres: authenticate both systems, choose the objects to sync (such as Anaplan's Lists and List Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
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. Render Postgres: Render Postgres is standard PostgreSQL — anything that speaks the Postgres protocol works unchanged, including logical replication clients. Stacksync's field mapping accounts for these differences between Anaplan and Render Postgres 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 Anaplan and Render Postgres records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Anaplan and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Anaplan–Render Postgres integration in-house.
Yes — Stacksync ships production-grade connectors for both Anaplan and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 400 integrations available for Anaplan and Render Postgres.