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ERP ⇄ Data warehouse

Acumatica to Snowflake integration — real-time, two-way sync

Keep Acumatica 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.

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Why teams connect Acumatica and Snowflake

Put Acumatica's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Acumatica can use them.

Data teams sync Acumatica to Snowflake to make ERP data available for warehouse-scale analytics. Customers, Sales Orders, Invoices, and Purchase Orders land in Snowflake Tables within managed Databases and Schemas, so finance and operations reporting runs on current ERP data rather than exports.

Stacksync syncs Customers, Vendors, Sales Orders, Invoices from Acumatica 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 Acumatica where that is useful.

Common use cases

  • 01 Build revenue and AR dashboards on Snowflake over synced Acumatica Invoices.
  • 02 Join Acumatica Customers with other warehouse data in shared Schemas for account analytics.
  • 03 Analyze procurement spend from Acumatica Purchase Orders and Vendors in Snowflake.
  • 04 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on

Common sync patterns

ERP replication to Snowflake

Acumatica Sales Orders and Invoices replicate continuously into Snowflake Tables.

Change capture downstream

Snowflake Streams track incoming Acumatica record changes for downstream pipelines.

Curated reporting layer

Snowflake Views and Materialized Views model Acumatica Customer and Purchase Order data for BI.

What you can sync between Acumatica 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.

Acumatica objects Snowflake objects How this pairing syncs
Customers AR master data synced with CRMs and billing tools. Tables The main landing and activation target for synced records. Customers is specific to Acumatica and Tables to Snowflake — each maps to any object or custom field on the other side.
Vendors Supplier records aligned with procurement and AP automation. Views Modeled projections used as the source side of outbound syncs. Vendors is specific to Acumatica and Views to Snowflake — each maps to any object or custom field on the other side.
Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. Materialized Views Precomputed results synced outward for low-latency reads. Sales Orders is specific to Acumatica and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
Invoices AR and AP billing documents synced for payment tracking and CRM visibility. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Invoices is specific to Acumatica and Streams to Snowflake — each maps to any object or custom field on the other side.
Purchase Orders Procurement documents exchanged with supplier-facing systems. Stages File staging areas used for bulk loads into synced tables. Purchase Orders is specific to Acumatica and Stages to Snowflake — each maps to any object or custom field on the other side.
Stock Items Inventory master data with quantities shared with external sales channels. Tasks Scheduled SQL used to transform synced data after it lands. Stock Items is specific to Acumatica and Tasks to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Acumatica and Snowflake

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.

Acumatica Snowflake Sub-second propagation

DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.

DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.

Snowflake Acumatica Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

DeliveryEach detected change is written to Acumatica through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Acumatica ⇄ Snowflake

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica 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 Acumatica or Snowflake record.

Observability

Monitoring

Track your Acumatica ⇄ Snowflake 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 Snowflake.

How the Acumatica and Snowflake 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

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 Acumatica 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 Acumatica 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
    Acumatica connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Acumatica and Snowflake integration FAQ

SECURITY

Security teams trust 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
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ISO 27001
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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 557 integrations available for Acumatica and Snowflake.

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