How do I connect Stilingue to SQL Server without coding?

Kondado offers a no-code interface where you simply authenticate your Stilingue account and enter your SQL Server connection parameters. The platform guides you through selecting specific sentiment pipelines and setting your preferred update schedule without requiring SQL scripts or API programming.

What Stilingue sentiment metrics are available in SQL Server?

The replication includes five pipelines delivering 139 total fields such as total mentions, positive classifications, negative classifications, neutral counts, and polarity scores from Sentiment by Terms, Themes, Hashtags, Tags, and Groups. These metrics appear as structured tables in your SQL Server ready for immediate querying and analysis.

How frequently can I schedule Stilingue data updates to SQL Server?

You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily depending on how current you need your social listening insights. This flexible scheduling ensures your SQL Server contains fresh sentiment data without overwhelming your database with unnecessary updates.

Can I merge Stilingue data with my existing SQL Server tables?

Yes, the replicated data uses standard table structures that allow you to write SQL joins combining Stilingue sentiment metrics with your existing business data. You can correlate social listening insights with sales records, customer databases, or inventory systems stored in the same SQL Server instance.

Which SQL Server versions work with Stilingue data replication?

Kondado supports various SQL Server versions and license types including Standard, Enterprise, and Express editions. The connection works with both cloud-hosted and on-premises SQL Server instances, making it compatible with most existing Microsoft database environments.

Can I visualize Stilingue data from SQL Server in BI tools?

Yes, once your Stilingue data resides in SQL Server, you can connect Power BI or Looker Studio directly to your database to create interactive sentiment dashboards. This allows you to build custom reports that combine social listening metrics with your existing business intelligence data.

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Send Stilingue Data to SQL Server Automatically

Kondado provides a direct connection between Stilingue and SQL Server, enabling you to replicate social listening metrics into your Microsoft database without writing code. Simply connect your Stilingue account as a data source, configure SQL Server as your destination, and select which sentiment pipelines you want to replicate. The platform handles the data transfer automatically on a configurable schedule, ensuring your SQL Server always contains fresh customer experience data ready for analysis.

Kondado automatically replicates Stilingue sentiment data to SQL Server on a configurable schedule ranging from every 5 minutes to daily, delivering 139 fields across 5 specialized pipelines including Sentiment by Terms, Themes, Hashtags, Tags, and Groups directly into your Microsoft database.

Once your Stilingue data lands in SQL Server, you can combine it with CRM records, sales figures, or marketing analytics from other sources to build comprehensive custom reports that reveal exactly how social sentiment impacts business outcomes. This direct connection eliminates manual CSV exports and keeps your database updated with fresh social listening insights, enabling your team to make faster decisions based on current customer experience trends.

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

With Kondado, you can replicate the Sentiment by Terms and Sentiment by Themes pipelines to track how specific keywords and discussion topics trend over time within your SQL Server environment. Marketing teams can join this Stilingue data with campaign performance tables to measure brand perception against advertising spend, while customer experience managers can query the Sentiment by Groups pipeline alongside support ticket data to identify which audience segments show rising satisfaction or emerging complaints. Having this social listening data in SQL Server enables complex SQL analysis and custom dashboard creation that connects social metrics directly to revenue and retention indicators.

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Stilingue data available for SQL Server

available pipelines

139

extractable fields

Available integrations

Integration	Description
Sentiment by Terms	Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Themes	Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Hashtags	Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Tags	Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.
Sentiment by Groups	Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

Sentiment by Terms

Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

Sentiment by Themes

Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

Sentiment by Hashtags

Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

Sentiment by Tags

Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

Sentiment by Groups

Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified.

See all available data →

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How to send Stilingue data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Stilingue as Data Source

Authenticate your Stilingue account in Kondado to establish the data source connection and allow access to your social listening metrics.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and credentials to establish the destination endpoint for your Stilingue data.

Select Pipelines and Schedule

Choose which sentiment pipelines to replicate from the available five options and set your preferred update frequency ranging from every 5 minutes to daily.

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