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Database ⇄ Accounting and finance

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

Keep Amazon DynamoDB and Coupa 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 Amazon DynamoDB and Coupa

Work with Coupa'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 Suppliers, Users, Accounts, Contracts from Coupa into Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams 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 Coupa with validation, so the finance system stays the system of record.

Common use cases

  • 01 Push chart-of-accounts segments and cost centers from the ERP into Coupa Accounts so Requisitions and Invoices code to the right GL.
  • 02 Provision and update Users in Coupa from an HRIS or identity provider as employees join, change roles, or leave.
  • 03 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 04 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.

Common sync patterns

Write back safely

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

React to financial events

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

What you can sync between Amazon DynamoDB and Coupa

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 Coupa objects How this pairing syncs
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. Users Employee and user accounts with roles and content groups; provisioned and updated from an HRIS or identity provider. Tables is specific to Amazon DynamoDB and Users to Coupa — 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. Accounts Chart-of-accounts segments and GL codes; usually mastered in the ERP and written into Coupa so requisitions and invoices code correctly. Items is specific to Amazon DynamoDB and Accounts to Coupa — 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. Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Contracts to Coupa — 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. Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Expense Reports to Coupa — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Requisitions Employee purchase requests with lines and approval chains; read out to warehouses, or created via the API from upstream intake tools. DynamoDB Streams is specific to Amazon DynamoDB and Requisitions to Coupa — each maps to any object or custom field on the other side.
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. Purchase Orders PO headers and lines; synced two-way with ERPs so orders raised in Coupa flow to the ledger and status updates flow back on the /purchase_orders resource. Global Tables is specific to Amazon DynamoDB and Purchase Orders to Coupa — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Coupa

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 Coupa 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 Coupa through its API, with automatic retries and rate-limit backoff.

Coupa Amazon DynamoDB Interval-based propagation

DetectionStacksync polls Coupa for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at and created-at filters (e.g.

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.
  • Coupa: Coupa does not publish explicit rate limits or expose X-RateLimit/Retry-After headers; integrations page 50 records at a time and back off on 429/503 responses.
What ships with Amazon DynamoDB ⇄ Coupa

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Coupa 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 Coupa record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Coupa 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 Coupa.

How the Amazon DynamoDB and Coupa 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.

Coupa

Integration surface
REST Core API (JSON or XML)
Authentication
OAuth 2.0 / OIDC via the client-credentials grant; scopes take the service.object.right form (e.g. core.accounting.read, core.accounting.write). Legacy API keys are being retired (no new keys since R34; API-key auth unsupported from R36). Access tokens last 24 hours.
Change detection
Polling on updated-at and created-at filters (e.g. updated-at[gt]=<timestamp>); Coupa has no native webhook subscriptions, though admins can configure outbound Call Out / external notifications.
Capabilities
read · write
Rate limits
Coupa does not publish explicit rate limits or expose X-RateLimit/Retry-After headers; integrations page 50 records at a time and back off on 429/503 responses.
How it works

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

    Choose tables

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

Amazon DynamoDB and Coupa integration FAQ

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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 533 integrations available for Amazon DynamoDB and Coupa.

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