How does Kondado replicate Instagram data to SQL Server?

Kondado connects directly to the Instagram API using your authentication credentials, extracts selected metrics from the seven available pipelines, and loads the data into your designated SQL Server database. The process runs automatically on your configured schedule, handling data type mapping and schema creation without requiring manual intervention or custom coding.

What Instagram metrics and fields are available in SQL Server?

Kondado replicates 83 fields across seven pipelines including Audience performance demographics, Media post details, Media performance engagement metrics, Daily profile performance statistics, and Third-Party Posts data. These fields include metrics like audience_city, ig_username, views, and interactions that populate standard SQL Server tables for immediate querying.

How often does Instagram data update in SQL Server?

You can configure replication schedules ranging from every five minutes to daily intervals depending on your analysis requirements. The platform fetches fresh data from the Instagram API according to your selected frequency and appends or updates records in SQL Server automatically without manual refreshes.

Can I combine Instagram data with other sources in SQL Server?

Yes, SQL Server serves as a central repository where Instagram metrics can join with data from Google Sheets , BigQuery , or other business applications you replicate through Kondado. This enables cross-channel analysis and unified reporting across marketing, sales, and operational datasets within a single database environment.

Are there pre-built dashboards available for Instagram analytics?

Kondado offers ready-made Instagram Power BI Report and Instagram Looker Studio Report templates that visualize your replicated data immediately. These report templates connect directly to your data in SQL Server or other destinations, providing immediate insights into follower growth, engagement rates, and content performance without requiring manual report construction.

What SQL Server versions are supported for Instagram replication?

Kondado connects to SQL Server 2016 and later versions, including SQL Server 2019, 2022, and Azure SQL Database. The platform supports various license types and editions, automatically adjusting data types and schema structures to match your specific SQL Server configuration during the initial setup process.

How is Instagram data structured when it arrives in SQL Server?

Each pipeline creates separate tables in SQL Server with normalized schemas containing the 83 available fields, using standard data types compatible with T-SQL queries. Audience data, media metrics, and profile statistics maintain their relational structure, allowing you to write JOIN statements between Instagram tables and your existing business data for comprehensive analysis.

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Replicate Instagram Data to SQL Server Automatically

Replicating Instagram metrics to SQL Server enables comprehensive social media analysis within your existing Microsoft database infrastructure. Kondado automates this process by connecting to the Instagram API and loading normalized data directly into your SQL Server instances without requiring manual exports, CSV uploads, or complex ETL development. Analysts can combine Instagram engagement data with CRM records, sales figures, and other business datasets already stored in SQL Server to generate unified performance insights and comprehensive marketing ROI calculations.

To send Instagram data to SQL Server, you configure the Instagram data source in Kondado, specify your SQL Server connection parameters including server address and credentials, select from seven available pipelines including audience performance and media metrics, then set your preferred replication schedule. The platform handles API authentication, data type conversion, and schema management automatically, delivering fresh data on intervals you configure from five minutes to daily updates without manual intervention.

Kondado connects Instagram directly to SQL Server, replicating audience demographics, media performance, and profile metrics through seven available pipelines on a configurable schedule ranging from five minutes to daily intervals.

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

The Audience performance pipeline delivers demographic breakdowns including follower age ranges, gender distribution, and geographic concentrations directly into your SQL Server environment, enabling precise segmentation analysis alongside existing customer database records. Media performance data flows into SQL Server with comprehensive engagement metrics for every post, allowing you to correlate content effectiveness with conversion events and sales data tracked in your existing database schemas. Daily profile performance metrics provide longitudinal tracking of follower growth, account reach, and impression trends, supporting historical trend analysis and predictive forecasting models within your SQL Server business intelligence environment.

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Instagram data available for SQL Server

available pipelines

extractable fields

Available integrations

Integration	Description
Audience performance	Demographic data such as gender, age, and location of followers, allowing detailed audience analysis based on metrics like audience_city and audience_country.
Daily profile performance	Information on daily profile performance, including metrics like kdd_account_id and ig_username, allowing monitoring of account evolution over time.
Media	Data on posts, including information on views and interactions, allowing performance analysis of each published content.
Media performance	Consolidated analysis of post performance, with metrics like views and interactions, allowing evaluation of the effectiveness of each media over time.
Profiles	Information on linked profiles, including kdd_account_id and ig_username, providing an overview of connected accounts and their characteristics.
Third-Party Posts	Data on posts made by third-party accounts, allowing analysis of interactions and engagement with external content.
Third-Party Profiles	Information on third-party profiles, including engagement metrics and interactions, allowing comparative analysis with own profiles.

Audience performance

Demographic data such as gender, age, and location of followers, allowing detailed audience analysis based on metrics like audience_city and audience_country.

Daily profile performance

Information on daily profile performance, including metrics like kdd_account_id and ig_username, allowing monitoring of account evolution over time.

Media

Data on posts, including information on views and interactions, allowing performance analysis of each published content.

Media performance

Consolidated analysis of post performance, with metrics like views and interactions, allowing evaluation of the effectiveness of each media over time.

Profiles

Information on linked profiles, including kdd_account_id and ig_username, providing an overview of connected accounts and their characteristics.

Third-Party Posts

Data on posts made by third-party accounts, allowing analysis of interactions and engagement with external content.

Third-Party Profiles

Information on third-party profiles, including engagement metrics and interactions, allowing comparative analysis with own profiles.

See all available data →

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How to send Instagram data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Instagram Data Source

Authenticate your Instagram account in Kondado by providing API credentials and permissions to access profile metrics, audience data, and media statistics.

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 Instagram data.

Select Pipelines and Schedule

Choose from the seven available Instagram pipelines such as Audience performance or Media metrics, then configure your replication frequency from five-minute intervals to daily updates.

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