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Sync Freshsales to Google BigQuery

Freshsales Google BigQuery

Automatically sync your Freshsales data into Google BigQuery with Flatly's no-code, triggerless, turnkey integration service.

Historical & Dynamic Data
One-way Sync
For Non-technical Users
Connect Freshsales to Google BigQuery Which Freshsales API does Flatly use?

Source: Freshsales

Freshworks CRM is an intuitive CRM that helps sales reps take the guesswork out of sales.

Auth: Basic Authentication

Available datasets

  • Accounts by View
  • Account Fields
  • Accounts Views
  • Appointments - Upcoming
  • Appointments - Past
  • Contacts by View
  • Contacts+Details by View Combo
  • Contacts+Activities by View Combo
  • Contact Fields
  • Contacts Views
  • Deals by View
  • Deals+Details by View Combo
  • Deal Fields
  • Deals Views
  • Leads by View
  • Leads+Details by View Combo
  • Leads+Activities by View Combo
  • Lead Fields
  • Leads Views
  • Sales Activities
  • Tasks - Open
  • Tasks - Overdue

Destination: Google BigQuery

Looker reads tables from Google BigQuery.

Auth: Service Account

Supported file formats

  • NDJSON

How it works

  1. 1

    Connect Freshsales

    Authenticate Freshsales (Basic Authentication) and Google BigQuery (Service Account) in the Flatly dashboard. You only have to do this once.

  2. 2

    Choose your datasets

    Pick which Freshsales datasets to sync and set your sync frequency. The frequencies available to you depend on your Flatly plan.

  3. 3

    Data lands in Google BigQuery

    Flatly uploads your Freshsales data to Google BigQuery automatically and refreshes it based on your sync frequency.

FAQ: Google BigQuery

How does schema setup work?

Flatly leverages intelligent schema generation that adapts to BigQuery's auto-detection protocols, handling data type inference and column ordering automatically so you never have to manually map fields.‍

What about data sanitization?

Data hygiene is built directly into the ingestion process. Before a single row is written to BigQuery, Flatly validates your data against a generated reference schema. It proactively detects and strips out "schema violators" —inconsistent data types or malformed records that would typically cause a load job to crash. Flatly logs these exclusions in a detailed metadata file, ensuring your pipeline remains resilient and continuous while giving you full transparency into data quality issues.‍

How performant and scalable is this integration?

This integration is designed for scale and flexibility, the engine processes data in memory-optimized chunks to handle massive datasets efficiently. It offers powerful pre-load controls, allowing you to filter rows based on custom logic (e.g., date ranges, specific values) and allowlist specific keys. This ensures that you only sync high-value data, optimizing your BigQuery storage costs and query performance.

How does authorization work?

Everything is secured via Service Account authentication, providing a stable, production-grade connection for your most critical analytics dashboards.

What is special about this integration?

Price-to-performance is impressive. Data can be synced to BigQuery every 6 hours for just $19 a month.

FAQ: Freshsales to Google BigQuery

How frequently can I sync data from Freshsales to Google BigQuery?
Flatly allows you to set custom sync frequencies ranging from every 10 minutes to once daily, depending on your Flatly pricing plan.
Does Flatly modify my Freshsales data during the sync?
No. Flatly provides a strict one-way sync. It extracts your historical and dynamic data from Freshsales and securely loads it into Google BigQuery without altering your original source data.
Do I need to write code to connect Freshsales to Google BigQuery?
No code is required. Flatly is a turnkey, no-code integration platform designed for non-technical users to securely connect their data sources and destinations in minutes.

“The interface is unbelievable. Flatly is so easy to use. After years of struggling with Zapier this is life changing.”

Melissa Cable
Project Manager, Aeolidia

Full data refresh

Maintain up-to-date flat files when any nested or bundled data changes in your source app.

Connection Management

Manage multiple tenants, with connection health monitoring.

Bulk Job Management

Control multiple jobs at the same time, with live progress monitoring.

Merged datasets

Export left-joined combo objects like deals+products.

Write options

Refresh one flat file or create a stack of timestamped versions.

Filterability

Include only the columns or views essential for your reporting.

Notifications

Get alerts about your syncs via email, webhooks or Slack notifications.

Logging

Access up to one thousand log entries for your sync operations.

Custom Field Enrichment

Get useful values in your data instead of identifiers or definitions.

Metadata Attachment

See file statistics alongside your flat files to keep track of their origins.

Dark UI Mode

Reduce eye strain and save energy by using our built in dark mode.

Programmatic Jobs

Queue jobs by making API calls or agent requests.

Time Stamp Enrichment

Get human-readable dates and times from UNIX timestamps.

High frequency

10-minute refresh cycles mean your data store is near real-time.

High capacity

Reliably flatten billions of cells to CSV files without hiccups.

Advanced Security

Two-factor authentication and Destination Lock controls.

Stripe-powered Billing

Reliable payments provider with automatic, familiar invoicing and 1% of Sales to Stripe Climate.

Mobile access

Manage your sync operations from your phone if you are traveling.

Connect Freshsales to Google BigQuery

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