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shape BigQuery

Send Data to BigQuery with No-Code Pipelines

How to send your data to BigQuery without complex engineering? Kondado offers a streamlined solution that connects 80+ business applications directly to your Google Cloud data warehouse. You can replicate data from CRMs like Salesforce and HubSpot, e-commerce platforms such as Shopify and WooCommerce, advertising tools including Google Ads and Facebook Ads, and ERP systems, all through an intuitive interface that requires no SQL knowledge or API coding. Simply authenticate your data sources, map your datasets, and let Kondado handle the technical complexity of maintaining your BigQuery data pipeline while you focus on extracting business value.

Kondado enables direct integration with BigQuery, allowing you to replicate data from over 80 sources on a configurable schedule ranging from every 5 minutes to daily. The platform delivers query-ready data formats that support immediate analysis, dashboard creation, and automated reporting without requiring manual exports or custom development work.

BigQuery is a serverless big data solution developed by Google that allows for storage and analytics over a large volume of data. By using Kondado to send data to BigQuery, you can focus on generating value with your data instead of maintaining data flows to BigQuery and eliminate manual tasks

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Why Kondado?

Focus on extracting value from your data and leave the rest to us

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Wherever you need

With the same platform, you send data to reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →
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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →
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Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from several data sources to BigQuery

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

How to send data to BigQuery

Centralize your data automatically — no code, no manual exports.

1
Select Your Data Sources

Browse the catalog of 80+ available pipelines and choose the business applications you want to replicate data from, such as your CRM, e-commerce platform, or advertising accounts.

2
Configure BigQuery Connection

Enter your Google Cloud project details, dataset location, and authentication credentials to establish a direct link between Kondado and your BigQuery warehouse.

3
Set Schedule and Replicate

Choose your preferred update frequency from every 5 minutes to daily, then activate your pipelines to begin automated data replication to BigQuery.

Frequently Asked Questions (FAQ)

Get answers about sending data to BigQuery with Kondado.

What data sources can I send to BigQuery using Kondado? ▼
Kondado supports over 80 data sources including popular CRMs like Salesforce and HubSpot, e-commerce platforms such as Shopify and WooCommerce, advertising tools including Google Ads and TikTok Ads, and ERP systems. You can view the complete list of available pipelines on this page and select multiple sources to replicate simultaneously into your BigQuery project.
How do I configure the BigQuery connection in Kondado? ▼
Setting up your BigQuery destination requires your Google Cloud project ID, dataset location, and service account credentials with appropriate permissions. The configuration process takes minutes through Kondado's interface, where you specify your destination dataset and authentication details without needing to write configuration files or manage API connections manually.
What format does my data arrive in when replicating to BigQuery? ▼
Data arrives in structured, query-ready formats that preserve the schema from your source systems, with appropriate data types mapped for BigQuery compatibility. Kondado maintains consistent naming conventions and handles nested data structures, JSON fields, and custom objects so you can immediately begin running SQL queries without data cleaning or transformation preparation.
How frequently can I update data in my BigQuery warehouse? ▼
Kondado offers configurable update schedules ranging from every 5 minutes to daily, allowing you to balance data freshness with processing costs. You can set different frequencies for different data sources based on business requirements, ensuring critical sales data updates more frequently while historical reference data refreshes on longer intervals.
Can I combine data from multiple sources into one BigQuery dataset? ▼
Yes, you can replicate data from dozens of sources into the same BigQuery dataset or organize them across multiple datasets within your project. This enables you to join information from different pipelines in your SQL queries, creating unified views that connect customer records from your CRM with order history from your e-commerce platform and campaign spend from advertising tools.
Do I need to know SQL to analyze data sent to BigQuery? ▼
While BigQuery uses SQL for querying, Kondado delivers data in formats compatible with visualization tools like Looker Studio, Tableau, and Power BI that offer no-code report building. However, having SQL knowledge allows you to perform advanced analyses, create custom calculated fields, and build sophisticated data models directly within BigQuery for deeper insights.
What types of reports can I build with data in BigQuery? ▼
You can create comprehensive business intelligence reports including sales funnel analysis, customer lifetime value calculations, marketing attribution models, inventory forecasting, and financial performance dashboards. The centralized data supports both operational reports that track daily metrics and strategic analyses that reveal long-term trends across your entire business ecosystem.