Send data from Mautic to SQL Server

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Replicate Mautic Data to SQL Server Automatically

Sending Mautic data to SQL Server requires no coding when using Kondado’s direct integration. Simply authenticate your Mautic instance as a data source, configure your SQL Server destination, and select which marketing tables and views to replicate. The platform automatically extracts your campaign metrics, contact records, and behavioral data, then loads it into your Microsoft database on a configurable schedule ranging from every five minutes to daily intervals.

Kondado replicates Mautic tables and views to SQL Server on a configurable schedule, enabling analysts to query campaign performance, contact behavior, and lead scoring data directly within their Microsoft database environment.

Once your marketing data arrives in SQL Server, you can combine Mautic engagement metrics with sales pipelines from your CRM or transactional records from ERP systems. This consolidation allows agencies and internal teams to build custom reports in Power BI, develop sophisticated attribution models, or power operational dashboards that track the complete customer journey from initial lead capture through final conversion without manual data exports.

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The Tables and Views pipeline automatically discovers and replicates all available Mautic datasets, including your contact segments, campaign workflows, and email engagement statistics. This comprehensive access allows you to analyze lead scoring models alongside page hit data and form submission records within SQL Server.

With this data in your Microsoft database, marketing analysts can join Mautic behavioral information with transactional tables to calculate customer acquisition costs, build cohort analysis queries, or feed cleaned datasets into Looker Studio for client reporting. The automated replication ensures your SQL Server tables always reflect the latest contact interactions and campaign performance without manual CSV uploads.

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Dynamic data

Kondado automatically reads the schema of your Mautic. All tables, views, and fields available in your account are extracted without manual configuration.

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available pipeline

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database
Integration Description
Tabelas e Views Kondado automatically maps all tables and views available in your database
See all available data →

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How to send Mautic data to SQL Server

Sync data automatically — no code, no manual exports.

1
Connect Your Mautic Data Source

Authenticate your Mautic instance by providing your API credentials and base URL in Kondado's data source configuration panel. The platform will automatically detect available tables and views from your marketing automation database.

2
Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location for your replicated data. Kondado supports all SQL Server editions and versions, creating the necessary schema automatically upon first connection.

3
Select Data and Schedule Updates

Choose which Mautic tables and views to replicate from the discovered pipeline, then set your preferred update frequency ranging from five minutes to daily intervals. The platform will begin automated replication immediately, keeping your SQL Server database synchronized with your marketing automation data.

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Send data from Mautic to other destinations

Looker Studio

Mautic > Looker Studio
Power BI

Mautic > Power BI
Other visualizations
Other visualizations
Amazon S3

Mautic > Amazon S3
BigQuery

Mautic > BigQuery
Excel

Mautic > Excel
Google Sheets

Mautic > Google Sheets
MySQL

Mautic > MySQL
PostgreSQL

Mautic > PostgreSQL
Redshift

Mautic > Redshift
SQL Server

Mautic > SQL Server

Choose a tool to visualize your Mautic data

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

Airtable
Mautic > Airtable
Alteryx
Mautic > Alteryx
Amazon Quicksight
Mautic > Amazon Quicksight
BIMachine
Mautic > BIMachine
Cortex
Mautic > Cortex
Data Studio
Mautic > Data Studio
Geckoboard
Mautic > Geckoboard
Grafana
Mautic > Grafana
IBM Cognos Analytics
Mautic > IBM Cognos Analytics
Klipfolio
Mautic > Klipfolio
Looker Studio
Mautic > Looker Studio
Looker
Mautic > Looker
Looqbox
Mautic > Looqbox
Metabase
Mautic > Metabase
Microstrategy
Mautic > Microstrategy
Pentaho
Mautic > Pentaho
Power BI
Mautic > Power BI
Qlik Cloud Analytics
Mautic > Qlik Cloud Analytics
Qlik Sense
Mautic > Qlik Sense
Qlik
Mautic > Qlik
QlikView
Mautic > QlikView
Redash
Mautic > Redash
Superset
Mautic > Superset
Tableau
Mautic > Tableau
BI TOTVS
Mautic > BI TOTVS
Zoho Analytics
Mautic > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Mautic data to SQL Server automatically

How does Kondado replicate Mautic data to SQL Server without coding? ▼
Kondado uses your Mautic API credentials to establish a direct connection, then automatically discovers available tables and views in your marketing automation instance. You select which datasets to replicate through the visual interface, configure your SQL Server connection parameters, and set the update frequency. The platform handles schema detection, data type conversion, and incremental updates without requiring SQL scripts or manual API programming.
What specific Mautic tables and views can I replicate to SQL Server? ▼
The Tables and Views pipeline exposes all standard Mautic entities including contacts, companies, campaigns, emails, forms, and page hits alongside their associated statistics and custom field values. You can replicate core tables like leads, campaign_events, and email_stats as well as any custom views configured in your Mautic database. This includes behavioral data such as click-through rates, form submissions, and asset downloads that track prospect engagement across your marketing funnel.
How often does Mautic data update in SQL Server using Kondado? ▼
Kondado updates your SQL Server tables on a configurable schedule that you set during pipeline creation, with options ranging from every five minutes to daily or weekly intervals. The platform performs incremental replication, meaning only new or modified records transfer during each update cycle rather than full table refreshes. This near-real-time approach keeps your marketing dashboards current while minimizing load on your Mautic server and SQL Server resources.
Can I combine Mautic data with Salesforce or HubSpot data in SQL Server? ▼
Yes, you can replicate data from multiple sources into the same SQL Server instance, creating a unified marketing data warehouse that combines Mautic engagement metrics with CRM data or advertising platform statistics. Kondado supports connections to various data sources alongside Mautic, allowing you to join contact records across systems or correlate campaign performance with sales pipeline data. This consolidated view enables comprehensive attribution modeling that tracks prospects from initial touchpoint through closed revenue.
How are Mautic custom fields handled when replicating to SQL Server? ▼
Kondado automatically detects custom field definitions in your Mautic configuration and creates corresponding columns in your SQL Server tables during the initial replication setup. These fields maintain their original data types where compatible, or convert to appropriate SQL Server types such as nvarchar, datetime, or decimal depending on the field configuration. Any new custom fields added to Mautic after initial setup will appear as new columns in subsequent replication cycles, ensuring your database schema stays synchronized with your marketing automation instance.
Can I use SQL Server Mautic data with Power BI or Google Sheets? ▼
Once your Mautic data resides in SQL Server, you can connect Power BI directly to your database to build marketing performance dashboards, or use Kondado to send specific datasets to Google Sheets for ad-hoc analysis. Many agencies extract filtered Mautic segments into Sheets for client reporting while maintaining the full dataset in SQL Server for complex querying. You can also pipe the data to BigQuery or PostgreSQL if your analytics stack requires those platforms instead.
What happens to deleted records in Mautic when replicating to SQL Server? ▼
By default, Kondado preserves deleted records in SQL Server while marking them with deletion timestamps or status flags, allowing you to maintain historical tracking of contact lifecycle changes. You can configure the pipeline to hard-delete matching records in SQL Server if your use case requires exact table mirroring without archive data. This flexibility supports both compliance scenarios requiring audit trails and operational needs where only current active records matter.
Does Kondado support SQL Server Express or only Enterprise editions? ▼
Kondado connects to all SQL Server editions including Express, Standard, Enterprise, and Developer versions, accommodating everything from small agency databases to large enterprise data warehouses. The platform works with both on-premises SQL Server instances and cloud-hosted Azure SQL Database deployments, adapting to your specific licensing and infrastructure requirements. Connection setup requires standard database credentials and network accessibility regardless of which edition you run.

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