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Data warehouse ⇄ CRM

BigQuery to Folk CRM integration — real-time, two-way sync

Keep BigQuery and Folk CRM 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 Folk CRM

Sync Folk CRM into BigQuery continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Companies, Groups, Custom fields, Notes from Folk CRM land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Folk CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Mirror folk groups into a reporting database to track pipeline and outreach coverage.
  • 02 Keep folk and a billing or customer success tool aligned on company records as deals close.
  • 03 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

Common sync patterns

Cleanup that sticks

Deduplication and normalization done in BigQuery can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Folk CRM are queryable in BigQuery moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in BigQuery appear as fields in Folk CRM, where the people working accounts actually see them.

What you can sync between BigQuery and Folk CRM

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 Folk CRM objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Groups Shared workspaces that organize contacts; group membership is often the field integrations act on. Projects is specific to BigQuery and Groups to Folk CRM — 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. Custom fields Group-scoped attributes that receive enriched or computed values from external systems. Tables is specific to BigQuery and Custom fields to Folk CRM — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Notes Free-text context attached to people and companies, readable for reporting. Partitioned tables is specific to BigQuery and Notes to Folk CRM — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Reminders Follow-up items that can be created from external triggers. Clustered tables is specific to BigQuery and Reminders to Folk CRM — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. People Contact records; the primary entity synced with outreach and enrichment tools. Datasets is specific to BigQuery and People to Folk CRM — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Folk CRM

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

Folk CRM BigQuery Sub-second propagation

DetectionFolk CRM notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling of list endpoints as a fallback.

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.
  • Folk CRM: Subject to the platform's API rate limits.
What ships with BigQuery ⇄ Folk CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Folk CRM 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 Folk CRM record.

Observability

Monitoring

Track your BigQuery ⇄ Folk CRM 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 Folk CRM.

How the BigQuery and Folk CRM 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

Folk CRM

Integration surface
REST API
Authentication
API key (Bearer token)
Change detection
Webhook subscriptions for record events, with polling of list endpoints as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits
How it works

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

    Choose tables

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

BigQuery and Folk CRM 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 452 integrations available for BigQuery and Folk CRM.

Popular · 4 of 452
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