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ERP ⇄ Database

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

Keep Acumatica and Amazon DynamoDB 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 Acumatica and Amazon DynamoDB

Give your engineers Acumatica's data in Amazon DynamoDB: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Vendors, Sales Orders, Invoices, Purchase Orders from Acumatica into Amazon DynamoDB and keeps both sides consistent in real time. Whatever Acumatica is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Amazon DynamoDB sync back into Acumatica with its validations respected.

Common use cases

  • 01 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 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.
  • 03 Mirror stock items and quantities to external channels so availability stays accurate across systems.
  • 04 Replicate journal transactions and financial data into a SQL database for reporting and consolidation.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from Amazon DynamoDB back into Acumatica, keeping the ERP authoritative.

Read ERP records with a query

Records from Acumatica live in Amazon DynamoDB as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Acumatica interface, limits, and retries.

What you can sync between Acumatica and Amazon DynamoDB

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.

Acumatica objects Amazon DynamoDB objects How this pairing syncs
Stock Items Inventory master data with quantities shared with external sales channels. 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. Stock Items is specific to Acumatica and Global Tables to Amazon DynamoDB — each maps to any object or custom field on the other side.
Shipments Fulfillment documents read to update tracking in storefronts and CRMs. Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Shipments is specific to Acumatica and Time to Live (TTL) to Amazon DynamoDB — each maps to any object or custom field on the other side.
Payments Customer payment records reconciled against invoices from payment platforms. 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. Payments is specific to Acumatica and Tables to Amazon DynamoDB — each maps to any object or custom field on the other side.
Journal Transactions GL entries replicated into reporting databases. 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. Journal Transactions is specific to Acumatica and Items to Amazon DynamoDB — each maps to any object or custom field on the other side.
Projects Project cost and billing structures synced with delivery tools. 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. Projects is specific to Acumatica and Global secondary indexes (GSIs) to Amazon DynamoDB — each maps to any object or custom field on the other side.
Opportunities and Cases Built-in CRM records synced with external sales and support tools. 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. Opportunities and Cases is specific to Acumatica and Local secondary indexes (LSIs) to Amazon DynamoDB — each maps to any object or custom field on the other side.

How changes propagate between Acumatica and Amazon DynamoDB

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.

Acumatica Amazon DynamoDB Sub-second propagation

DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Amazon DynamoDB Acumatica 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 Acumatica through its API, with automatic retries and rate-limit backoff.

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.
What ships with Acumatica ⇄ Amazon DynamoDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Acumatica and Amazon DynamoDB connectors work

Acumatica

Integration surface
Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
Authentication
OAuth 2.0 or cookie-based session login with Acumatica credentials
Change detection
Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
Capabilities
read · write · webhooks

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.
How it works

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

    Choose tables

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

Acumatica and Amazon DynamoDB integration FAQ

SECURITY

Security teams trust 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.

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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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 548 integrations available for Acumatica and Amazon DynamoDB.

Popular · 7 of 548
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