Real-time
Real-time sync
Changes in BigQuery or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to SuiteAnalytics integration — real-time data sync
Keep BigQuery and SuiteAnalytics 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
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect BigQuery and SuiteAnalytics
Put SuiteAnalytics's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where SuiteAnalytics can use them.
SuiteAnalytics is a read-only source: Stacksync reads its data in real time and delivers it into BigQuery, so BigQuery always reflects the current state of SuiteAnalytics — without exports, scripts, or schedulers.
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 SuiteAnalytics carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Common use cases
- Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
- Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
- Join ERP data with CRM data in Postgres for quote-to-cash and revenue visibility
- Give internal tools a read replica of item and inventory data without hitting SuiteScript governance limits
Where SuiteAnalytics 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.
Where SuiteAnalytics runs operations: order and supply analysis
Operational records become queryable tables in BigQuery, joinable with sales and finance data.
Group reporting across systems
Combine SuiteAnalytics's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
What you can sync between BigQuery and SuiteAnalytics
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 | SuiteAnalytics objects | |
|---|---|---|
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Subsidiary Synced with incremental and full sync per the Stacksync docs. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | All custom objects Synced with incremental and full sync per the Stacksync docs. | |
| Clustered tables Supported; clustering is transparent to the sync. | Nexus Synced with incremental and full sync per the Stacksync docs. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Tax Type Synced with incremental and full sync per the Stacksync docs. | |
| Projects Connection scope: the service account grants access per project. | Sales Tax Item Synced with incremental and full sync per the Stacksync docs. |
What ships with BigQuery ⇄ SuiteAnalytics
Connect BigQuery and SuiteAnalytics for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–SuiteAnalytics connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or SuiteAnalytics 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 SuiteAnalytics record.
Observability
Monitoring
Track your BigQuery ⇄ SuiteAnalytics 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 SuiteAnalytics.
How the BigQuery and SuiteAnalytics 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
SuiteAnalytics
- Integration surface
- SQL over ODBC, JDBC, and ADO.NET (SuiteAnalytics Connect)
- Authentication
- NetSuite Token-Based Authentication: create an integration record (Consumer ID + Consumer Secret), an access token (Token ID + Token Secret), a role with SuiteAnalytics Connect and SuiteAnalytics Connect - Read All
- Change detection
- Not stated in the docs
- Capabilities
- read
- Rate limits
- Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits
How it works
How to connect BigQuery to SuiteAnalytics — 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 BigQuery and SuiteAnalytics with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
BigQuery
connected
SuiteAnalytics
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and SuiteAnalytics 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 · BigQuery ⇄ SuiteAnalyticsCustomers 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.
BigQuery SuiteAnalyticsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and SuiteAnalytics integration FAQ
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Yes. Stacksync provides a managed, real-time integration between BigQuery and SuiteAnalytics — SuiteAnalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both BigQuery and SuiteAnalytics. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on BigQuery: 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. On SuiteAnalytics: Not stated in the docs. 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 BigQuery side: Tables, Partitioned tables, Clustered tables, Datasets, plus custom fields where BigQuery exposes them. On the SuiteAnalytics side: Subsidiary, All custom objects, Nexus, Tax Type. Stacksync auto-detects both schemas and converts types between the two systems.
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SuiteAnalytics is a read-only source, so this integration runs one-way: Stacksync reads from SuiteAnalytics in real time and delivers into BigQuery. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for BigQuery and SuiteAnalytics: Where SuiteAnalytics is the HR system of record: workforce analytics; Where SuiteAnalytics runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into BigQuery for headcount, cost, and planning analysis alongside other company data.
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 BigQuery and SuiteAnalytics.
Popular · 8 of 386
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BigQuery ⇄ Rootstock ERP -
BigQuery ⇄ Sage 100 - BigQuery ⇄ Sage 300
- BigQuery ⇄ Sage Intacct
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SuiteAnalytics ⇄ Amazon Redshift -
SuiteAnalytics ⇄ Apache Doris -
SuiteAnalytics ⇄ Apache Druid -
SuiteAnalytics ⇄ Apache Hive
No integrations match .
