No-code pipeline · Meetime → SQL Server

Send data from Meetime to SQL Server

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From Meetime to SQL Server: managed, scheduled, no code.

Kondado replicates Meetime data to SQL Server on a configurable schedule, updating your database every 5 minutes, hourly, or daily based on your preferences. The platform connects to the Meetime API and loads demonstrations, calls, and prospect data directly into your SQL Server instance, maintaining data consistency for sales analytics and team performance tracking.

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Send Meetime Data to SQL Server Automatically

Kondado provides a direct integration that replicates your inside sales data from Meetime to SQL Server without manual exports or complex coding. Configure your data source once, select the pipelines you need from your CRM, and define an update schedule that fits your reporting requirements. Your Meetime demonstrations, calls, and prospect records flow into SQL Server automatically, ready for analysis and reporting.

With automated replication, you eliminate manual CSV uploads and keep your sales metrics current for management evaluation. Connect your Meetime data to Power BI, Looker Studio, or other visualization tools to build dashboards that track SDR productivity and conversion rates.

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 SQL Server

Replicate your Meetime pipelines directly into SQL Server to unlock comprehensive inside sales analytics. The Demonstrations pipeline captures demo titles, descriptions, and status fields, enabling you to analyze presentation completion rates and content effectiveness. Combine this with the Calls pipeline data, including connected duration and call types, to correlate conversation quality with prospect progression stored in the Prospects pipeline, which tracks lead origins and lost reasons.

Once in SQL Server, join these sales activity tables with financial or marketing datasets to calculate customer acquisition costs by lead source, identify which demo content drives conversions, and build automated reports that update on your schedule. Your sales management team gains immediate visibility into team performance without waiting for manual report generation.

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Replicated to SQL Server

Meetime data available for SQL Server

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

available pipelines

123

extractable fields

SQL Server

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 SQL Server →

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How to send Meetime data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Meetime Account

Authenticate your Meetime data source in Kondado by providing your API credentials, allowing the platform to access your demonstrations, calls, and prospect records.

Configure SQL Server

Enter your SQL Server connection parameters including server address, database name, and authentication details to establish the destination for your Meetime pipelines.

Select Pipelines and Schedule

Choose which Meetime pipelines to replicate, map the 123 available fields to your SQL Server schema, and set your preferred update frequency from 5-minute intervals to daily batches.

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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 SQL Server automatically

How does Kondado replicate Meetime data to SQL Server? ▼

Kondado connects directly to the Meetime API to extract your inside sales data and load it into SQL Server tables. The process runs automatically on your chosen schedule, whether you need updates every 5 minutes for near-real-time monitoring or daily batches for historical analysis. Each pipeline maps to a specific table structure in your database, preserving field relationships from your CRM.

What Meetime data can I replicate to SQL Server? ▼

You can replicate three core pipelines: Demonstrations containing demo metadata and status information, Calls with duration and connection details, and Prospects including lead origins and lost reasons. These 123 fields cover the essential inside sales activities that SDRs and managers track daily, providing a complete view of your sales funnel.

How often does Meetime data update in SQL Server? ▼

Update frequency is fully configurable based on your business needs, ranging from every 5 minutes to daily intervals. You set the schedule during pipeline configuration, and Kondado automatically pulls new and updated records from Meetime according to that timeline. This ensures your SQL Server always contains current information for sales reporting without manual intervention.

What format does Meetime data take in SQL Server? ▼

Data arrives as structured relational tables with columns matching Meetime field names and appropriate SQL data types. The Demonstrations, Calls, and Prospects pipelines each create separate tables that you can query using standard T-SQL, join with existing business data, or connect to visualization tools like Power BI for dashboard creation.

Can I combine Meetime data with other sources in SQL Server? ▼

Yes, once your Meetime data resides in SQL Server, you can join it with information from additional Kondado pipelines or existing database tables. Many users combine Meetime prospect data with marketing campaign sources or financial data to calculate complete customer acquisition costs and lifetime value metrics across their entire business intelligence stack.

Do I need technical skills to set up Meetime replication? ▼

No coding is required to configure the connection between Meetime and SQL Server. Kondado provides a no-code interface where you authenticate your Meetime account, enter your SQL Server connection details, and select which pipelines to replicate. The platform handles API authentication, data type mapping, and table creation automatically.

Can I send Meetime data to destinations other than SQL Server? ▼

Absolutely, Kondado enables you to replicate the same Meetime pipelines to multiple destinations simultaneously. In addition to SQL Server, you can send your sales data to BigQuery, PostgreSQL, Google Sheets, or Power BI without creating separate data workflows.

How do I start analyzing Meetime data after it reaches SQL Server? ▼

Once replication begins, query your Demonstrations, Calls, and Prospects data using SQL Server Management Studio or your preferred analytics tool. Create views that join these datasets to track conversion rates from initial call to closed deal, or connect to Looker Studio to build visual reports that update automatically as new Meetime records arrive.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days