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Database ⇄ ERP

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

Keep Amazon DynamoDB and DEAR Inventory 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 DEAR Inventory

Give your engineers DEAR Inventory'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 Products, Stock levels, Sale orders, Purchase orders from DEAR Inventory into Amazon DynamoDB and keeps both sides consistent in real time. Whatever DEAR Inventory 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 DEAR Inventory with its validations respected.

Common use cases

  • 01 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 02 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 03 Land orders, costs, and inventory movements in a warehouse for margin and stock-turn reporting.
  • 04 Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.

Common sync patterns

Internal tools and automations without API code

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

React to ERP changes

Updates in DEAR Inventory arrive as row changes in Amazon DynamoDB, so jobs and triggers can respond as the business record changes.

Where DEAR Inventory is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.

What you can sync between Amazon DynamoDB and DEAR Inventory

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 DEAR Inventory objects How this pairing syncs
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. Suppliers Vendor records referenced on purchase orders. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Suppliers to DEAR Inventory — 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. Stock adjustments and transfers Inventory movement transactions that explain changes in availability. DynamoDB Streams is specific to Amazon DynamoDB and Stock adjustments and transfers to DEAR Inventory — 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. Assemblies / Production Bill-of-material and production records for light manufacturing workflows. Global Tables is specific to Amazon DynamoDB and Assemblies / Production to DEAR Inventory — 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. Locations Warehouses and bins that scope stock levels and fulfillment. Time to Live (TTL) is specific to Amazon DynamoDB and Locations to DEAR Inventory — 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. Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. Tables is specific to Amazon DynamoDB and Products to DEAR Inventory — 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. Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. Items is specific to Amazon DynamoDB and Stock levels to DEAR Inventory — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and DEAR Inventory

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

DEAR Inventory Amazon DynamoDB Sub-second propagation

DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.

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.
  • DEAR Inventory: Subject to the platform's per-account API rate limits.
What ships with Amazon DynamoDB ⇄ DEAR Inventory

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or DEAR Inventory 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 DEAR Inventory record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ DEAR Inventory 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 DEAR Inventory.

How the Amazon DynamoDB and DEAR Inventory 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.

DEAR Inventory

Integration surface
REST API
Authentication
Account ID plus application key sent as request headers
Change detection
Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-account API rate limits
How it works

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

    Choose tables

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

Amazon DynamoDB and DEAR Inventory 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 440 integrations available for Amazon DynamoDB and DEAR Inventory.

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