Real-time
Two-way sync
Changes in Acumatica or DuckDB instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Acumatica to DuckDB integration — real-time, two-way sync
Keep Acumatica 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
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Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Acumatica and DuckDB
Give your engineers Acumatica'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 Payments, Journal Transactions, Projects, Opportunities and Cases from Acumatica into DuckDB and keeps both sides consistent in real time. Whatever Acumatica 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 Acumatica with its validations respected.
Common use cases
- Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- Align Acumatica's built-in CRM opportunities and cases with an external sales or support platform.
- Two-way sync of customers, orders, and invoices between Acumatica and a CRM so sales sees ERP truth without ERP logins.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Acumatica interface, limits, and retries.
React to ERP changes
Updates in Acumatica arrive as row changes in DuckDB, so jobs and triggers can respond as the business record changes.
Where Acumatica is the HR system of record: people data for internal systems
Worker and org records stay current in DuckDB for provisioning, access, and reporting systems that read from the database.
What you can sync between Acumatica 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.
| Acumatica objects | DuckDB objects | |
|---|---|---|
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | Schemas Namespaces within a database used to organize tables in sync outputs. | |
| Customers AR master data synced with CRMs and billing tools. | Tables Columnar tables created via SQL; the destination for materialized sync data. | |
| Vendors Supplier records aligned with procurement and AP automation. | Views SQL views used to shape or filter data for downstream consumers. | |
| Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | |
| Invoices AR and AP billing documents synced for payment tracking and CRM visibility. | Attached databases Additional database files or external systems attached into one session for cross-source queries. | |
| Purchase Orders Procurement documents exchanged with supplier-facing systems. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. |
What ships with Acumatica ⇄ DuckDB
Connect Acumatica and DuckDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–DuckDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Acumatica 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 Acumatica or DuckDB record.
Observability
Monitoring
Track your Acumatica ⇄ DuckDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Acumatica and DuckDB.
How the Acumatica and DuckDB connectors work
Acumatica
- Integration surface
- Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
- Authentication
- OAuth 2.0 or cookie-based session login with Acumatica credentials
- Change detection
- Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
- Capabilities
- read · write · webhooks
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 Acumatica 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 Acumatica 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.
Acumatica
connected
DuckDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Acumatica 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 · Acumatica ⇄ 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.
Acumatica DuckDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Acumatica and DuckDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and DuckDB: authenticate both systems, choose the objects to sync (such as Acumatica's Opportunities and Cases and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the DuckDB side: Attached databases, Database files, Schemas, Tables, plus custom fields where DuckDB exposes them. On the Acumatica side: Payments, Journal Transactions, Projects, Opportunities and Cases. 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.
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Common patterns for Acumatica and DuckDB: Internal tools and automations without API code; React to ERP changes; Where Acumatica is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Acumatica interface, limits, and retries.
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Acumatica: Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries. Authentication: OAuth 2.0 or cookie-based session login with Acumatica credentials. 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: DuckDB runs in-process like SQLite; there is no server, so integrations embed the engine or operate on the single-file databases it produces. Acumatica: The contract-based REST API uses versioned endpoints with a defined entity contract, so integrations pin an endpoint version and remain stable across upgrades. Stacksync's field mapping accounts for these differences between Acumatica and DuckDB without custom code.
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 Acumatica and DuckDB.
Popular · 8 of 386
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Acumatica ⇄ Apache Cassandra -
Acumatica ⇄ Azure Cosmos DB -
Acumatica ⇄ Azure SQL Database -
Acumatica ⇄ Citus -
DuckDB ⇄ SAP S/4HANA -
DuckDB ⇄ Odoo -
DuckDB ⇄ Blue Yonder WMS -
DuckDB ⇄ Brightpearl
No integrations match .
