No-code pipeline · Meetime → BigQuery

Send data from Meetime to BigQuery

Get started for free

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

or sign up with your email

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

From Meetime to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from Meetime to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Meetime to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Meetime data and combining it with other data in your BigQuery data warehouse

Connect Meetime now →

Send Meetime Data to BigQuery Automatically

You can replicate your Meetime sales data to BigQuery without writing code using Kondado’s data platform. Simply select Meetime as your data source and BigQuery as your destination, then choose which pipelines you want to replicate. Kondado handles the data extraction and loading on a configurable schedule, whether you need updates every 5 minutes or daily batches. This allows your analytics team to query sales performance data using standard SQL within Google’s serverless data warehouse.

Once your data arrives in BigQuery, you can combine Meetime information with marketing attribution data, financial records, or product usage statistics to build comprehensive sales analytics. This unified view helps SDR managers evaluate team performance and identify which lead sources generate the most qualified demonstrations.

Kondado provides a direct integration between Meetime and BigQuery that replicates demonstrations, calls, and prospects data on a configurable schedule. The platform maintains 123 fields across three pipelines, enabling sales teams to analyze inside sales performance alongside other business data in their Google Cloud environment.

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

Available Meetime Pipelines for BigQuery

The Demonstrations pipeline delivers demo title, description, and status data directly to your BigQuery warehouse, allowing you to track conversion rates from initial prospect contact to completed presentations. Combined with the Calls pipeline, which includes connected duration and call type information, managers can correlate talk time with deal progression and optimize SDR outreach strategies. The Prospects pipeline brings lead origin and lost reason fields into BigQuery, enabling you to analyze which channels produce viable opportunities and identify patterns in why potential customers disengage. By joining these datasets with other sources in your data warehouse, you create a complete picture of your inside sales funnel from first touch to closed deal.

Try out all the features for free for 14 days

Replicated to BigQuery

Meetime data available for BigQuery

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

available pipelines

123

extractable fields

BigQuery

Destination

Available integrations

Demonstrations

Table includes information about demonstrations, featuring fields such as demo title, demo description, demo link, and status.

Calls

Table presents data about calls, including fields such as call date, connected duration, call type, and status.

Prospects

Table provides details about prospects, featuring fields such as begin date, status, lead origin, and lost reason.

See all available data → Send Meetime to BigQuery →

Try out all the features for free for 14 days

How to send Meetime data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Meetime Account

Log into Kondado and select Meetime from the data source catalog, then enter your API credentials to establish the initial connection.

Configure BigQuery Destination

Choose BigQuery as your target warehouse and specify the project ID and dataset where your Meetime pipelines should load data.

Select Pipelines and Schedule

Activate the Demonstrations, Calls, and Prospects pipelines you need, then set your preferred update frequency from 5-minute intervals to daily synchronization.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

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

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

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 →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from Meetime to other destinations

Meetime > Looker Studio

Meetime > Power BI

Other visualizations

Meetime > Amazon S3

Meetime > BigQuery

Meetime > Excel

Meetime > Google Sheets

Meetime > MySQL

Meetime > PostgreSQL

Meetime > Redshift

Meetime > SQL Server

Choose a tool to visualize your Meetime data

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

Meetime > Airtable

Meetime > Alteryx

Meetime > Amazon Quicksight

Meetime > BIMachine

Meetime > Cortex

Meetime > Data Studio

Meetime > Geckoboard

Meetime > Grafana

Meetime > IBM Cognos Analytics

Meetime > Klipfolio

Meetime > Looker Studio

Meetime > Looker

Meetime > Looqbox

Meetime > Metabase

Meetime > Microstrategy

Meetime > Pentaho

Meetime > Power BI

Meetime > Qlik Cloud Analytics

Meetime > Qlik Sense

Meetime > Qlik

Meetime > QlikView

Meetime > Redash

Meetime > Superset

Meetime > Tableau

Meetime > BI TOTVS

Meetime > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Meetime data to BigQuery automatically

How frequently can I schedule Meetime data updates in BigQuery? ▼

Kondado offers configurable scheduling options ranging from every 5 minutes to daily batches, allowing you to balance data freshness with processing costs. You select the update frequency when configuring your pipeline, and Kondado automatically manages the extraction and loading process according to your chosen interval.

Which Meetime objects are available as pipelines in BigQuery? ▼

You can replicate three core objects from your inside sales platform: demonstration records with booking details, call logs with duration metrics, and prospect information including acquisition sources. Each object maintains its relational structure when loaded into your BigQuery destination, preserving the connections between leads, activities, and outcomes.

Can I merge Meetime sales data with marketing platforms in BigQuery? ▼

Yes, once your Meetime data resides in BigQuery, you can join it with information from other data sources such as advertising platforms or web analytics tools. This allows you to build custom dashboards that connect lead generation spend with actual sales demonstrations and closed deals.

Do I need technical skills to send Meetime data to BigQuery? ▼

No coding is required to establish the connection between Meetime and BigQuery using Kondado's interface. You simply authenticate your Meetime account, select your destination warehouse, and choose which pipelines to activate without writing API calls or managing infrastructure.

What data structure does Kondado create for Meetime in BigQuery? ▼

Kondado creates organized datasets within your BigQuery project where each pipeline loads data into structured storage with appropriately typed columns for dates, text, and numerical values. This structured format allows immediate compatibility with Looker Studio, Power BI, and other analytics platforms.

Can I analyze Meetime call metrics alongside prospect status in BigQuery? ▼

The Calls pipeline includes duration and type information that you can aggregate with prospect lifecycle data to calculate average engagement per lead source. You can blend this information with external datasets to determine which conversation patterns correlate with successful demonstration bookings.

How do I build sales reports using Meetime data in BigQuery? ▼

With your Meetime data available in BigQuery, you can create custom reports in Looker Studio or Power BI that visualize demonstration conversion rates and call activity trends. These reports update automatically as Kondado refreshes your data on the configured schedule.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days