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Data warehouse ⇄ Business productivity

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

Keep BigQuery and SendGrid 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 SendGrid

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

Marketing and data teams sync SendGrid into BigQuery to analyze email performance beyond the dashboard's retention window. Email Activity and Contacts replicate into BigQuery Tables, where engagement can be joined with CRM and product data in one Dataset.

Stacksync syncs List, Segments, Categories, Senders from SendGrid 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 SendGrid where the tool can use them.

Common use cases

  • 01 Retain Email Activity in BigQuery past SendGrid's native retention limits.
  • 02 Build BigQuery-driven Segments and sync audience membership back to SendGrid Lists.
  • 03 Correlate Email Activity with revenue and product events already in the warehouse.
  • 04 Reconcile transactional email activity with support tickets so agents see what a customer was sent

Common sync patterns

Engagement warehouse

SendGrid Email Activity streams into partitioned BigQuery Tables for long-horizon deliverability and open-rate analysis.

Audience sync

Contacts, Lists, and Segments replicate into a BigQuery Dataset joined to customer records.

Sender and category reporting

Categories and Senders land in BigQuery Tables to break down performance by program.

What you can sync between BigQuery and SendGrid

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 SendGrid objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Senders Synced with incremental and full sync per the Stacksync docs. Projects is specific to BigQuery and Senders to SendGrid — 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. Single Sends One-off marketing campaigns whose stats are read back for reporting. Tables is specific to BigQuery and Single Sends to SendGrid — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs. Partitioned tables is specific to BigQuery and Unsubscribe Groups to SendGrid — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Email Activity Synced with incremental and full sync per the Stacksync docs. Clustered tables is specific to BigQuery and Email Activity to SendGrid — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Contacts Marketing recipients upserted from CRM or database records, including custom field values. Datasets is specific to BigQuery and Contacts to SendGrid — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and SendGrid

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

SendGrid BigQuery Sub-second propagation

DetectionSendGrid notifies Stacksync of record changes through webhook events. Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint.

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.
  • SendGrid: Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes.
What ships with BigQuery ⇄ SendGrid

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or SendGrid 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 SendGrid record.

Observability

Monitoring

Track your BigQuery ⇄ SendGrid 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 SendGrid.

How the BigQuery and SendGrid 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

SendGrid

Integration surface
REST API (v3)
Authentication
API key (create in SendGrid Settings > API Keys with Custom Access / Full Access for the objects to sync; key begins with "SG")
Change detection
Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint; contact and list changes are detected by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes
SendGrid setup guide
How it works

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

    Choose tables

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

BigQuery and SendGrid 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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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 491 integrations available for BigQuery and SendGrid.

Popular · 8 of 491
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