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Data warehouse ⇄ Business productivity

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

Keep BigQuery and Smartsheet 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 BigQuery and Smartsheet

Get the data locked inside Smartsheet into BigQuery as live tables, and send results back where Smartsheet can use them, without writing a pipeline.

Whatever Smartsheet is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Columns, Cells, Reports, Attachments from Smartsheet into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Smartsheet where the tool can use them.

Common use cases

  • 01 Trigger downstream actions in an operational database when a Row's status Cell changes, using sheet webhooks for near-real-time updates.
  • 02 Two-way sync a project-tracker Sheet's Rows with a Postgres table so engineering works in SQL while project managers stay in Smartsheet.
  • 03 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 04 Feed ML feature tables in BigQuery from operational systems on a continuous schedule

Common sync patterns

Cross-tool reporting

Combine Smartsheet's data with data from every other synced system to answer questions no single tool can.

Where Smartsheet accepts updates: operational write-back

Segments, scores, or reference values computed in BigQuery sync back onto records in Smartsheet, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Smartsheet or gets changed inside it.

What you can sync between BigQuery and Smartsheet

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 Smartsheet objects How this pairing syncs
Partitioned tables Synced like regular tables; partition columns map to target fields. Reports Read-only roll-ups spanning multiple sheets; pulled into a warehouse for cross-sheet reporting, capped at 50,000 rows. Partitioned tables is specific to BigQuery and Reports to Smartsheet — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Attachments Files linked to rows or sheets; posting one carries a 10x rate cost, so bulk file sync is throttled to 30 per minute. Clustered tables is specific to BigQuery and Attachments to Smartsheet — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Discussions and Comments Threaded comments on rows and sheets; read out to sync collaboration history or activity into another system. Datasets is specific to BigQuery and Discussions and Comments to Smartsheet — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Users and Groups Account membership and sharing; synced to keep an HR or identity source aligned with sheet and workspace access. Projects is specific to BigQuery and Users and Groups to Smartsheet — 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. Sheets The core container; each sheet has typed columns, rows, and a modifiedAt stamp. Stacksync treats a sheet as a table and syncs its rows two-way. Tables is specific to BigQuery and Sheets to Smartsheet — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Smartsheet

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 Smartsheet 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 Smartsheet through its API, with automatic retries and rate-limit backoff.

Smartsheet BigQuery Sub-second propagation

DetectionSmartsheet notifies Stacksync of record changes through webhook events. Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes.

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.
  • Smartsheet: 300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
What ships with BigQuery ⇄ Smartsheet

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Smartsheet 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 Smartsheet record.

Observability

Monitoring

Track your BigQuery ⇄ Smartsheet 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 Smartsheet.

How the BigQuery and Smartsheet 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

Smartsheet

Integration surface
REST API (v2.0)
Authentication
OAuth 2.0 authorization-code flow, or a raw/personal API access token passed as a Bearer header
Change detection
Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes; otherwise polling on sheet and row modifiedAt timestamps
Capabilities
read · write · webhooks
Rate limits
300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
How it works

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

    Choose tables

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

BigQuery and Smartsheet 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.

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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 547 integrations available for BigQuery and Smartsheet.

Popular · 8 of 547
All BigQuery integrations All Smartsheet integrations Browse all integrations
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