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Accounting and finance ⇄ Database

Anaplan to AWS Aurora MySQL integration — real-time, two-way sync

Keep Anaplan and AWS Aurora MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Anaplan and AWS Aurora MySQL

Work with Anaplan's financial data straight from AWS Aurora MySQL: 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 Processes, Cell Data, Models, Modules from Anaplan into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora MySQL, 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

  • Load actuals from an ERP or warehouse into Anaplan modules so forecasts start from current financials.
  • Sync CRM pipeline data into Anaplan for sales capacity and quota planning.
  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.

React to financial events

Changes in Anaplan appear in AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL; Stacksync handles the API calls, rate limits, and retries against Anaplan.

What you can sync between Anaplan and AWS Aurora MySQL

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 MySQL objects
Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. Columns MySQL data types are mapped to the paired system's field types during schema setup.
Import and Export Actions Predefined data-movement definitions the Bulk API executes. Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient.
Processes Ordered bundles of actions run as a unit during scheduled syncs. Views Can serve as read-only sync sources for derived or filtered datasets.
Cell Data Individual intersections readable and writable through the transactional API. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere.
Models The planning workspaces that contain all data; syncs target a specific model. Stored procedures and triggers Existing database logic keeps firing on rows written by a sync.
Modules Multidimensional grids of line items where plan data lives; the main read/write surface. Databases (schemas) Logical namespaces that scope which tables a sync connection can see.
What ships with Anaplan ⇄ AWS Aurora MySQL

Connect Anaplan and AWS Aurora MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–AWS Aurora MySQL connection.

Real-time

Two-way sync

Changes in Anaplan or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Anaplan or AWS Aurora MySQL 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 MySQL record.

Observability

Monitoring

Track your Anaplan ⇄ AWS Aurora MySQL 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 MySQL.

How the Anaplan and AWS Aurora MySQL 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 MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC
How it works

How to connect Anaplan to AWS Aurora MySQL — 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.

  1. 01

    Connect your apps

    Authenticate Anaplan and AWS Aurora MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Anaplan connected
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Anaplan and AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Anaplan ⇄ AWS Aurora MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Anaplan AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Anaplan and AWS Aurora MySQL integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Anaplan and AWS Aurora MySQL.

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