Two-way sync
Changes in Amazon S3 or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon 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.
DEAR Inventory runs the business on structured records: Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production. Amazon S3 holds files and the metadata that describes them: Buckets, Objects, Object metadata, Object tags. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record DEAR Inventory touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction DEAR Inventory needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.
Stacksync keeps Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production in DEAR Inventory and Buckets, Objects, Object metadata, Object tags in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in DEAR Inventory. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.
The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in DEAR Inventory and the file in Amazon S3 never describe two different versions of the same document.
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in DEAR Inventory, so a document captured outside the finance system still reaches the books.
As records change in DEAR Inventory, the corresponding files and metadata in Amazon S3 are kept in step, so a stored document reflects the latest version rather than a stale one-time export.
Every transaction's supporting file lives in Amazon S3 beside its metadata, giving finance and audit teams a complete, searchable trail tied back to the record in 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 S3 objects | DEAR Inventory objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Buckets is specific to Amazon S3 and Sale orders to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. | Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Objects is specific to Amazon S3 and Purchase orders to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Customers Buyer records aligned with CRM and accounting counterparts. | Object metadata is specific to Amazon S3 and Customers to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Suppliers Vendor records referenced on purchase orders. | Object tags is specific to Amazon S3 and Suppliers to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | Object versions is specific to Amazon S3 and Stock adjustments and transfers to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Prefixes (folders) is specific to Amazon S3 and Assemblies / Production to DEAR Inventory — each maps to any object or custom field on the other side. |
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.
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to DEAR Inventory through its API, with automatic retries and rate-limit backoff.
DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–DEAR Inventory connection.
Changes in Amazon S3 or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or DEAR Inventory data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or DEAR Inventory record.
Track your Amazon S3 ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and DEAR Inventory.
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.
Authenticate Amazon 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.
Pick the Amazon 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and DEAR Inventory: authenticate both systems, choose the objects to sync (such as Amazon S3's Buckets and Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon S3 and DEAR Inventory: Where Amazon S3 captures inbound files: details reach the record; An archive that stays current; Audit-ready retention. A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in DEAR Inventory, so a document captured outside the finance system still reaches the books.
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Stacksync manages authentication, retries, and rate limits on both sides.
DEAR Inventory: Inventory availability is derived per location from transactions (receipts, sales, adjustments, transfers), so synced stock figures reflect movement history rather than a single editable field. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and DEAR Inventory without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon S3 and DEAR Inventory records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–DEAR Inventory integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 399 integrations available for Amazon S3 and DEAR Inventory.