Real-time
Two-way sync
Changes in Anaplan or Citus instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Anaplan to Citus integration — real-time, two-way sync
Keep Anaplan and Citus 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 Citus
Work with Anaplan's financial data straight from Citus: 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 Versions, Import and Export Actions, Processes, Cell Data from Anaplan into Distributed tables, Reference tables, Local tables, Schemas in Citus and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Citus, 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
- Keep dimension lists (products, cost centers, territories) aligned with master data systems of record.
- Export forecast versions to a warehouse for variance reporting against actuals.
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
Internal tools without API plumbing
Build dashboards and back-office tools directly on Citus; Stacksync handles the API calls, rate limits, and retries against Anaplan.
Write back safely
Updates written to the synced tables in Citus propagate into Anaplan, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Anaplan appear in Citus as row changes, so you can trigger downstream logic with the database tooling you already use.
What you can sync between Anaplan and Citus
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 | Citus objects | |
|---|---|---|
| List Items Individual dimension members created or updated from external systems of record. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Views Curated projections over distributed data, often used as read-only sync sources. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Sequences Key generators that matter when external writes must not collide with application inserts. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. |
What ships with Anaplan ⇄ Citus
Connect Anaplan and Citus for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Citus connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Citus 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 Citus record.
Observability
Monitoring
Track your Anaplan ⇄ Citus 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 Citus.
How the Anaplan and Citus 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
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
How it works
How to connect Anaplan to Citus — 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 Citus 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
Citus
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Citus 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 ⇄ CitusCustomers 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 CitusCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Citus integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Citus: 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Anaplan and Citus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Anaplan–Citus integration in-house.
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Yes — Stacksync ships production-grade connectors for both Anaplan and Citus. 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 Anaplan: Polling and scheduled export actions; the platform does not expose change events. On Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. 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 Anaplan side: Versions, Import and Export Actions, Processes, Cell Data, plus custom fields where Anaplan exposes them. On the Citus side: Distributed tables, Reference tables, Local tables, Schemas. 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.
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 Citus.
Popular · 8 of 386
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Anaplan ⇄ Dynamo DB -
Anaplan ⇄ IBM Db2 -
Anaplan ⇄ Firebase -
Anaplan ⇄ SingleStore -
Citus ⇄ Chargebee -
Citus ⇄ Hyperline -
Citus ⇄ Pigment -
Citus ⇄ QuickBooks
No integrations match .
