Two-way sync
Changes in Anaplan or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Anaplan and Azure Synapse Analytics in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Processes, Cell Data, Models, Modules from Anaplan into tables in Azure Synapse Analytics in real time, and the connection works in both directions: values computed in Azure Synapse Analytics can be written back to fields in Anaplan where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
A continuously synced copy in Azure Synapse Analytics gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Anaplan arrive in Azure Synapse Analytics as queryable tables, current within seconds instead of a day behind.
Analysts combine Anaplan's financial records with product, marketing, or operational data already in Azure Synapse Analytics for reporting the finance system cannot do alone.
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 | Azure Synapse Analytics objects | |
|---|---|---|
| Models The planning workspaces that contain all data; syncs target a specific model. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | |
| Modules Multidimensional grids of line items where plan data lives; the main read/write surface. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Line Items The measures within a module, mapped to columns or metrics in syncs. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | |
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| List Items Individual dimension members created or updated from external systems of record. | Views Curated projections used when downstream tools should not read base tables directly. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Schemas Namespaces that separate staging, integration, and presentation layers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Azure Synapse Analytics connection.
Changes in Anaplan or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Anaplan or Azure Synapse Analytics 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 Azure Synapse Analytics record.
Track your Anaplan ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Anaplan and Azure Synapse Analytics.
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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Anaplan's Models and Modules), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Anaplan: Polling and scheduled export actions; the platform does not expose change events. On Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Anaplan side: Processes, Cell Data, Models, Modules, plus custom fields where Anaplan exposes them. On the Azure Synapse Analytics side: Schemas, Materialized views, SQL pools, Tables (dedicated SQL pool). Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Anaplan and Azure Synapse Analytics: Queryable history for audit and reconciliation; Finance analytics without ETL; Revenue joined with everything else. A continuously synced copy in Azure Synapse Analytics gives you a durable, queryable record of financial data for month-end and audit questions.
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. Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Anaplan and Azure Synapse Analytics.