Real-time
Two-way sync
Changes in DEAR Inventory or DuckDB instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
DEAR Inventory to DuckDB integration — real-time, two-way sync
Keep DEAR Inventory and DuckDB 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect DEAR Inventory and DuckDB
Give your engineers DEAR Inventory's data in DuckDB: 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 DuckDB 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 DuckDB sync back into DEAR Inventory with its validations respected.
Common use cases
- Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
- 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.
Read ERP records with a query
Records from DEAR Inventory live in DuckDB as ordinary tables or collections, joinable with the rest of your data.
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 DuckDB, so jobs and triggers can respond as the business record changes.
What you can sync between DEAR Inventory and DuckDB
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 | DuckDB objects | |
|---|---|---|
| Customers Buyer records aligned with CRM and accounting counterparts. | Attached databases Additional database files or external systems attached into one session for cross-source queries. | |
| Suppliers Vendor records referenced on purchase orders. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | |
| Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | Schemas Namespaces within a database used to organize tables in sync outputs. | |
| Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Tables Columnar tables created via SQL; the destination for materialized sync data. | |
| Locations Warehouses and bins that scope stock levels and fulfillment. | Views SQL views used to shape or filter data for downstream consumers. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. |
What ships with DEAR Inventory ⇄ DuckDB
Connect DEAR Inventory and DuckDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–DuckDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DEAR Inventory or DuckDB 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 DuckDB record.
Observability
Monitoring
Track your DEAR Inventory ⇄ DuckDB 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 DuckDB.
How the DEAR Inventory and DuckDB 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
DuckDB
- Integration surface
- In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
- Authentication
- None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
How it works
How to connect DEAR Inventory to DuckDB — 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 DEAR Inventory and DuckDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DEAR Inventory
connected
DuckDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DEAR Inventory and DuckDB 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 · DEAR Inventory ⇄ DuckDBCustomers 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.
DEAR Inventory DuckDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DEAR Inventory and DuckDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between DEAR Inventory and DuckDB: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Customers and Suppliers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for DEAR Inventory and DuckDB: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from DEAR Inventory live in DuckDB as ordinary tables or collections, joinable with the rest of your data.
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DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). Stacksync manages authentication, retries, and rate limits on both sides.
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DuckDB: Execution is columnar and vectorized, optimized for analytical scans rather than high-frequency transactional writes. 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. Stacksync's field mapping accounts for these differences between DEAR Inventory and DuckDB without custom code.
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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 DEAR Inventory and DuckDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DEAR Inventory and DuckDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DEAR Inventory–DuckDB integration in-house.
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
Every pair below is a real-time, two-way sync. Search all 386 integrations available for DEAR Inventory and DuckDB.
Popular · 8 of 386
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DEAR Inventory ⇄ Supabase -
DEAR Inventory ⇄ MySQL -
DEAR Inventory ⇄ MariaDB -
DEAR Inventory ⇄ SQL Server -
DuckDB ⇄ Linnworks -
DuckDB ⇄ Logiwa WMS -
DuckDB ⇄ Macola ERP -
DuckDB ⇄ Manhattan Associates WMS
No integrations match .
