Real-time
Two-way sync
Changes in AWS S3 or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
AWS S3 to DEAR Inventory integration — real-time, two-way sync
Keep AWS S3 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS S3 and DEAR Inventory
Put DEAR Inventory's records in AWS S3 as live tables for reporting and analysis, without extract jobs, and write results back where DEAR Inventory can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in AWS S3 next to everything else the company measures.
Stacksync syncs Assemblies / Production, Locations, Products, Stock levels from DEAR Inventory into tables in AWS S3 continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in AWS S3 can be written back to fields in DEAR Inventory where that is useful.
Common use cases
- Stage bulk loads for warehouses that ingest from object storage.
- Archive change history from ongoing syncs as timestamped files for audit and replay.
- Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.
- Land orders, costs, and inventory movements in a warehouse for margin and stock-turn reporting.
Where DEAR Inventory holds the books: finance reporting from live data
Financial records land in AWS S3 as they change, so period-end reporting queries current numbers rather than last night's extract.
Where DEAR Inventory is the HR system of record: workforce analytics
Worker and organization data syncs into AWS S3 for headcount, cost, and planning analysis alongside other company data.
Where DEAR Inventory runs operations: order and supply analysis
Operational records become queryable tables in AWS S3, joinable with sales and finance data.
What you can sync between AWS S3 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.
| AWS S3 objects | DEAR Inventory objects | |
|---|---|---|
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | |
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | |
| Multipart Uploads The mechanism used to write large export files reliably. | Locations Warehouses and bins that scope stock levels and fulfillment. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. |
What ships with AWS S3 ⇄ DEAR Inventory
Connect AWS S3 and DEAR Inventory for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–DEAR Inventory connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS S3 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 AWS S3 or DEAR Inventory record.
Observability
Monitoring
Track your AWS S3 ⇄ 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 AWS S3 and DEAR Inventory.
How the AWS S3 and DEAR Inventory connectors work
AWS S3
- Integration surface
- REST API (the S3 API), accessed directly or through AWS SDKs
- Authentication
- AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
- Change detection
- S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
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 AWS S3 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.
- 01
Connect your apps
Authenticate AWS S3 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.
AWS S3
connected
DEAR Inventory
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS S3 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.
objects · AWS S3 ⇄ DEAR InventoryCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS S3 DEAR InventoryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS S3 and DEAR Inventory integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and DEAR Inventory: authenticate both systems, choose the objects to sync (such as AWS S3's Event Notifications and Access Points), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS S3 and DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS S3–DEAR Inventory integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS S3 and DEAR Inventory. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS S3: S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback. On DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the AWS S3 side: Multipart Uploads, Buckets, Objects, Prefixes, plus custom fields where AWS S3 exposes them. On the DEAR Inventory side: Assemblies / Production, Locations, Products, Stock levels. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
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:
Related integrations
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No integrations match .
