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Database ⇄ Accounting and finance

Amazon DynamoDB to Anaplan integration — real-time, two-way sync

Keep Amazon DynamoDB and Anaplan 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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Why teams connect Amazon DynamoDB and Anaplan

Work with Anaplan's financial data straight from Amazon DynamoDB: 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 Line Items, Lists, List Items, Versions from Anaplan into Tables, Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs) in Amazon DynamoDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon DynamoDB, 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 Export forecast versions to a warehouse for variance reporting against actuals.
  • 02 Load actuals from an ERP or warehouse into Anaplan modules so forecasts start from current financials.
  • 03 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 04 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.

Common sync patterns

Write back safely

Updates written to the synced tables in Amazon DynamoDB propagate into Anaplan, so automations can create or correct finance records without custom integration code.

React to financial events

Changes in Anaplan appear in Amazon DynamoDB 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 Amazon DynamoDB as regular tables or collections your team can join, index, and query.

What you can sync between Amazon DynamoDB and Anaplan

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.

Amazon DynamoDB objects Anaplan objects How this pairing syncs
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Modules Multidimensional grids of line items where plan data lives; the main read/write surface. Global Tables is specific to Amazon DynamoDB and Modules to Anaplan — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Line Items The measures within a module, mapped to columns or metrics in syncs. Time to Live (TTL) is specific to Amazon DynamoDB and Line Items to Anaplan — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Lists Dimension members (accounts, products, cost centers) synced from master data systems. Tables is specific to Amazon DynamoDB and Lists to Anaplan — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. List Items Individual dimension members created or updated from external systems of record. Items is specific to Amazon DynamoDB and List Items to Anaplan — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Versions to Anaplan — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Import and Export Actions Predefined data-movement definitions the Bulk API executes. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Import and Export Actions to Anaplan — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Anaplan

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.

Amazon DynamoDB Anaplan Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

DeliveryEach detected change is written to Anaplan through its API, with automatic retries and rate-limit backoff.

Anaplan Amazon DynamoDB 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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Anaplan: Subject to the platform's API rate limits; large data movements are designed to run through bulk actions.
What ships with Amazon DynamoDB ⇄ Anaplan

Connect Amazon DynamoDB and Anaplan for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Anaplan connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or Anaplan instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Anaplan 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 Amazon DynamoDB or Anaplan record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Anaplan sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Anaplan.

How the Amazon DynamoDB and Anaplan connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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
How it works

How to connect Amazon DynamoDB to Anaplan — 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 Amazon DynamoDB and Anaplan 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
    Amazon DynamoDB connected
    Anaplan connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Anaplan 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 · Amazon DynamoDB ⇄ Anaplan
    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
    Amazon DynamoDB Anaplan
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Anaplan integration FAQ

SECURITY

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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.

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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 522 integrations available for Amazon DynamoDB and Anaplan.

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