No-code pipeline · NectarCRM → BigQuery

Send data from NectarCRM to BigQuery

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From NectarCRM to BigQuery: managed, scheduled, no code.
Kondado automatically replicates NectarCRM data including Appointments, Contacts, Opportunities, Products, and Tasks to BigQuery on a configurable schedule ranging from every 5 minutes to daily, requiring no technical maintenance or manual exports.

Send NectarCRM Data to BigQuery Automatically

Kondado provides a direct connection that replicates your NectarCRM sales and marketing data to BigQuery without requiring any coding or API development. Simply authenticate your NectarCRM account, configure which data pipelines to activate, and set your preferred update frequency. The platform handles the data extraction and loading automatically, ensuring your CRM information flows into Google’s serverless data warehouse on a configurable schedule.

Once your NectarCRM data arrives in BigQuery, you can build comprehensive sales dashboards, analyze opportunity conversion rates, and combine CRM metrics with marketing or financial data from other sources. This automated pipeline eliminates manual CSV exports and ensures your analytics environment always contains current customer relationship information for immediate business intelligence.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pipelines

Replicate your Opportunities and Contacts pipelines to unlock comprehensive sales performance tracking directly within BigQuery. By analyzing opportunity values, discount patterns, and funnel stages alongside contact qualification histories, you can identify which lead segments convert best and optimize your sales strategy accordingly. The Appointments pipeline enables detailed meeting analytics when correlated with closed deal data, helping you understand how scheduled interactions drive revenue, while the Tasks pipeline provides visibility into sales team productivity and follow-up efficiency across your entire customer base.

Try out all the features for free for 14 days

Replicated to BigQuery

NectarCRM data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

9
available pipelines
409
extractable fields
BigQuery
Destination

Available integrations

Appointments
Scheduled appointments with fields such as id, subject, and creation date, along with client information like name and email.
Contacts
Registered contacts with data such as id, active status, and communication information including email and phone.
Opportunities
Sales opportunities with fields such as id, total discount value, and status, along with information about the sales funnel.
Opportunities: Products
Products associated with opportunities, including opportunity id, quantity of products, and opportunity temperature.
Opportunities: Proposals
Proposals linked to opportunities, with fields such as id, feedback, and feedback date, along with author information.
Pipelines (Sales Funnels)
Sales funnels with information about stages and status of opportunities, allowing visualization of sales progress.
Products
Available products with fields such as id, name, and description, along with information about prices and categories.
Qualifications
Qualifications of contacts and opportunities, including fields such as id, status, and notes on performance.
Tasks
Assigned tasks with fields such as id, description, and status, along with information about responsible parties and deadlines.

Try out all the features for free for 14 days

How to send NectarCRM data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect NectarCRM Account

Authenticate your NectarCRM account in Kondado by providing your API credentials through the data source configuration page. Select the specific pipelines you want to replicate, such as Opportunities, Contacts, and Tasks.

2
Configure BigQuery Destination

Set up your BigQuery dataset and project details in Kondado, specifying the exact location where your NectarCRM tables should reside. The platform requires your Google Cloud service account credentials to write data directly into your data warehouse.

3
Select Data and Schedule

Choose your update frequency from options ranging from 5 minutes to daily, then activate the replication to begin automated data flows. Kondado will immediately start extracting your selected NectarCRM data and loading it into BigQuery according to your configured timeline.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Send data from NectarCRM to other destinations

Choose a tool to visualize your NectarCRM data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Frequently Asked Questions (FAQ)

Answers about sending NectarCRM data to BigQuery automatically

How does Kondado replicate NectarCRM data to BigQuery without coding?
Kondado provides a direct connection that links your NectarCRM account to BigQuery using standard authentication methods. The platform extracts data from your selected pipelines and loads it into your BigQuery dataset automatically. You configure the connection once through the interface, selecting which data endpoints to activate and defining your update schedule.
What NectarCRM data pipelines are available in BigQuery?
Kondado offers nine distinct pipelines including Appointments, Contacts, Opportunities with related Products and Proposals, Sales Funnels, Products, Qualifications, and Tasks. Each pipeline contains specific fields such as opportunity values, contact emails, appointment subjects, and task deadlines. You can activate any combination of these pipelines based on your analytics requirements.
How often does NectarCRM data update in BigQuery?
Kondado updates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time capability ensures your sales reports reflect recent CRM activities without overwhelming your API limits. You can adjust the frequency per pipeline based on how rapidly specific data changes.
Can I combine NectarCRM data with other sources in BigQuery?
Yes, once your CRM data resides in BigQuery, you can join it with information from additional Kondado sources or other business systems. Many users combine NectarCRM opportunities with marketing automation data alongside financial records from accounting platforms. This unified view enables comprehensive customer journey analysis across multiple touchpoints.
What format does NectarCRM data take in BigQuery?
Kondado replicates your CRM data into structured tables within your BigQuery dataset, maintaining the original field names and data types from NectarCRM. Each pipeline becomes a separate table containing rows of records with columns for IDs, dates, values, and relational fields. The standardized schema allows immediate querying using SQL without transformation requirements.
Do I need technical skills to maintain the NectarCRM BigQuery connection?
No ongoing technical maintenance is required after the initial setup. Kondado handles API changes, schema updates, and data type conversions automatically. The no-code interface lets business users manage pipeline configurations, monitor replication status, and adjust schedules without developer assistance.
Can I send NectarCRM data to visualization tools from BigQuery?
Absolutely, once your data is in BigQuery, you can connect it to Looker Studio, Power BI, or Google Sheets for reporting. This workflow allows you to build custom sales dashboards that combine CRM metrics with other business data sources for comprehensive analytics.
How do I track sales funnel performance using NectarCRM data in BigQuery?
Activate the Opportunities and Pipelines pipelines to replicate funnel stage data and opportunity statuses. In BigQuery, you can write queries that calculate conversion rates between stages, identify bottlenecks, and measure the velocity of deals moving through your sales process. This analysis helps optimize your NectarCRM funnel configuration for better revenue outcomes.

Try out all the features for free for 14 days

Try out all the features for free for 14 days