Real-time
Two-way sync
Changes in Logiwa WMS or Snowflake instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Logiwa WMS to Snowflake integration — real-time, two-way sync
Keep Logiwa WMS 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Logiwa WMS and Snowflake
Put Logiwa WMS's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Logiwa WMS 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 Logiwa WMS carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs Shipments, Warehouses & Locations, Clients, Returns from Logiwa WMS 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 Logiwa WMS where that is useful.
Common use cases
- 01 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
- 02 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
- 03 Mirror on-hand inventory into a central database or storefront to prevent overselling.
- 04 Keep the product catalog consistent between the ERP item master and the WMS.
Common sync patterns
Group reporting across systems
Combine Logiwa WMS's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
Write-back where Logiwa WMS exposes writable fields
Classifications or reference values computed in Snowflake sync back onto the corresponding records in Logiwa WMS.
Where Logiwa WMS 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.
What you can sync between Logiwa WMS 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.
| Logiwa WMS objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Warehouses & Locations Facility and bin structure referenced when mapping multi-warehouse inventory. | Materialized Views Precomputed results synced outward for low-latency reads. | Warehouses & Locations is specific to Logiwa WMS and Materialized Views to Snowflake — each maps to any object or custom field on the other side. | |
| Clients 3PL client accounts used to scope orders and inventory in multi-client deployments. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Clients is specific to Logiwa WMS and Streams to Snowflake — each maps to any object or custom field on the other side. | |
| Returns Return receipts synced so ERPs and support tools reflect restocked inventory. | Stages File staging areas used for bulk loads into synced tables. | Returns is specific to Logiwa WMS and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Shipment Orders Outbound fulfillment orders created from connected storefronts or an OMS and updated as they move through picking and packing. | Tasks Scheduled SQL used to transform synced data after it lands. | Shipment Orders is specific to Logiwa WMS and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| Purchase Orders Inbound receipt expectations synced from the ERP or procurement system to drive receiving. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Purchase Orders is specific to Logiwa WMS and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. | |
| Inventory On-hand and available stock levels read out to keep storefronts, ERPs, and analytics stores current. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Inventory is specific to Logiwa WMS and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. |
How changes propagate between Logiwa WMS 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.
Logiwa WMS Snowflake Interval-based propagation
DetectionStacksync polls Logiwa WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
Snowflake Logiwa WMS 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 Logiwa WMS through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Logiwa WMS: Subject to the platform's published API rate limits.
- Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Logiwa WMS ⇄ Snowflake
Connect Logiwa WMS and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Logiwa WMS–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Logiwa WMS 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 Logiwa WMS or Snowflake record.
Observability
Monitoring
Track your Logiwa WMS ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Logiwa WMS and Snowflake.
How the Logiwa WMS and Snowflake connectors work
Logiwa WMS
- Integration surface
- REST API
- Authentication
- API key / token
- Change detection
- Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits
- Capabilities
- read · write
- Rate limits
- Subject to the platform's published 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
How it works
How to connect Logiwa WMS 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.
- 01
Connect your apps
Authenticate Logiwa WMS 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.
Logiwa WMS
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Logiwa WMS 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.
objects · Logiwa WMS ⇄ SnowflakeCustomers 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.
Logiwa WMS SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Logiwa WMS and Snowflake integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Logiwa WMS and Snowflake: authenticate both systems, choose the objects to sync (such as Logiwa WMS's Warehouses & Locations and Clients), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on Logiwa WMS: Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Snowflake side: Schemas, Tables, Views, Materialized Views, plus custom fields where Snowflake exposes them. On the Logiwa WMS side: Shipments, Warehouses & Locations, Clients, Returns. 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 Logiwa WMS and Snowflake: Group reporting across systems; Write-back where Logiwa WMS exposes writable fields; Where Logiwa WMS holds the books: finance reporting from live data. Combine Logiwa WMS's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
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Logiwa WMS: REST API. Authentication: API key / token. Snowflake: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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.
SOC 2 Type II
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→ 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
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