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ERP ⇄ Data warehouse

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

Keep DEAR Inventory and Snowflake 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

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Why teams connect DEAR Inventory and Snowflake

Put DEAR Inventory's records in Snowflake 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 Snowflake next to everything else the company measures.

Stacksync syncs Products, Stock levels, Sale orders, Purchase orders from DEAR Inventory into tables in Snowflake continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Snowflake can be written back to fields in DEAR Inventory where that is useful.

Common use cases

  • Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.
  • Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.

Where DEAR Inventory holds the books: finance reporting from live data

Financial records land in Snowflake 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 Snowflake 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 Snowflake, joinable with sales and finance data.

What you can sync between DEAR Inventory and Snowflake

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.

DEAR Inventory objects Snowflake objects
Customers Buyer records aligned with CRM and accounting counterparts. VARIANT Columns Semi-structured JSON payloads stored alongside relational columns.
Suppliers Vendor records referenced on purchase orders. Virtual Warehouses The compute a sync's queries run on, sized independently of storage.
Stock adjustments and transfers Inventory movement transactions that explain changes in availability. Databases Top-level containers that scope which data a sync can touch.
Assemblies / Production Bill-of-material and production records for light manufacturing workflows. Schemas Namespaces within a database used to organize synced tables.
Locations Warehouses and bins that scope stock levels and fulfillment. Tables The main landing and activation target for synced records.
Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. Views Modeled projections used as the source side of outbound syncs.
What ships with DEAR Inventory ⇄ Snowflake

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DEAR Inventory or Snowflake 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 DEAR Inventory or Snowflake record.

Observability

Monitoring

Track your DEAR Inventory ⇄ Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between DEAR Inventory and Snowflake.

How the DEAR Inventory and Snowflake connectors work

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

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

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

    Choose tables

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

DEAR Inventory and Snowflake integration FAQ

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.

Learn more about security
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:

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 386 integrations available for DEAR Inventory and Snowflake.

Popular · 8 of 386
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