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Data warehouse ⇄ CRM

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

Keep BigQuery and Freshsales 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect BigQuery and Freshsales

Sync Freshsales 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. Deals, Tasks, Appointments, Notes from Freshsales land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Freshsales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Push product-qualified leads from the warehouse into Freshsales as contacts with lifecycle stages set.
  • 02 Keep Freshsales accounts aligned with a billing system so plan and revenue fields stay current.
  • 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

CRM analytics on live data

Accounts, contacts, and activity from Freshsales 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 Freshsales, where the people working accounts actually see them.

A single customer view

Join Freshsales's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.

What you can sync between BigQuery and Freshsales

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 Freshsales objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. Notes Free-text records attached to contacts, accounts, and deals. Clustered tables is specific to BigQuery and Notes to Freshsales — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Sales activities Configurable activity types logged against records, useful for engagement scoring. Datasets is specific to BigQuery and Sales activities to Freshsales — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Products Catalog items attached to deals for line-level revenue data. Projects is specific to BigQuery and Products to Freshsales — 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. Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. Tables is specific to BigQuery and Contacts to Freshsales — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Accounts Company records kept aligned with billing, ERP, and warehouse tables. Partitioned tables is specific to BigQuery and Accounts to Freshsales — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Freshsales

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

Freshsales BigQuery Sub-second propagation

DetectionFreshsales notifies Stacksync of record changes through webhook events. Polling with updated-at filters through views.

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.
  • Freshsales: Subject to per-account API rate limits that vary by Freshworks plan.
What ships with BigQuery ⇄ Freshsales

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Freshsales 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 Freshsales record.

Observability

Monitoring

Track your BigQuery ⇄ Freshsales 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 Freshsales.

How the BigQuery and Freshsales 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

Freshsales

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by Freshworks plan
How it works

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

    Choose tables

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

BigQuery and Freshsales 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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ISO 27001
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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 558 integrations available for BigQuery and Freshsales.

Popular · 7 of 558
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