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Data warehouse ⇄ ERP

BigQuery to Syspro integration — real-time, two-way sync

Keep BigQuery and Syspro 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 BigQuery and Syspro

Put Syspro's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Syspro 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 Syspro carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs Warehouses, Customers, Suppliers, Inventory items from Syspro into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Syspro where that is useful.

Common use cases

  • 01 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 02 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 03 Extract job and WIP data into a warehouse for production and costing reports
  • 04 Post shipment confirmations from logistics systems back against SYSPRO sales orders

Common sync patterns

Write-back where Syspro exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in Syspro.

Where Syspro holds the books: finance reporting from live data

Financial records land in BigQuery as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Syspro is the HR system of record: workforce analytics

Worker and organization data syncs into BigQuery for headcount, cost, and planning analysis alongside other company data.

What you can sync between BigQuery and Syspro

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.

BigQuery objects Syspro objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. GL journals Financial postings extracted for consolidation and analytics. Clustered tables is specific to BigQuery and GL journals to Syspro — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Warehouses Stocking locations that scope inventory balances. Datasets is specific to BigQuery and Warehouses to Syspro — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Customers AR customer master records matched against CRM accounts. Projects is specific to BigQuery and Customers to Syspro — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Suppliers AP supplier records synced with procurement and payment systems. Tables is specific to BigQuery and Suppliers to Syspro — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. Partitioned tables is specific to BigQuery and Inventory items to Syspro — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Syspro

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.

BigQuery Syspro Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

Syspro BigQuery Interval-based propagation

DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Syspro: Throughput depends on the customer's server sizing; many deployments are on-premise.
What ships with BigQuery ⇄ Syspro

Connect BigQuery and Syspro for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in BigQuery or Syspro instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Syspro 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 BigQuery or Syspro record.

Observability

Monitoring

Track your BigQuery ⇄ Syspro sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Syspro.

How the BigQuery and Syspro connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Syspro

Integration surface
e.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8
Authentication
SYSPRO operator credentials exchanged for a session token
Change detection
Polling; the ERP does not expose a change feed to external consumers
Capabilities
read · write
Rate limits
Throughput depends on the customer's server sizing; many deployments are on-premise
How it works

How to connect BigQuery to Syspro — 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 BigQuery and Syspro 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
    BigQuery connected
    Syspro connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Syspro 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 · BigQuery ⇄ Syspro
    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
    BigQuery Syspro
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Syspro 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 542 integrations available for BigQuery and Syspro.

Popular · 7 of 542
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