Data connector

Send SQLServer data to AI, reports, spreadsheets and ETL

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SQLServer

Databases

SQLServer stores critical business information ranging from transaction records and customer databases to inventory systems and financial ledgers. With Kondado, you can centralize this relational SQLServer data to build comprehensive analytics without writing complex queries or managing manual exports. Whether you are tracking sales performance across regions, monitoring supply chain metrics, or analyzing customer behavior patterns, replicating your database content enables deeper insights and faster decision-making across your entire organization.

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Kondado connects to SQLServer using dynamic mapping technology where you provide your Host/Address, Port, Database name, Username, and Password to establish the data source. After whitelisting Kondado’s IP addresses on your database server, you select exactly which tables and schemas you want to replicate to your destination on a configurable schedule ranging from every 5 minutes to daily.

Operations managers benefit by creating automated inventory dashboards that track stock levels and reorder points without manual spreadsheet updates. Marketing analysts can build customer segmentation reports combining purchase history with campaign performance metrics to optimize targeting strategies. Finance teams leverage centralized SQLServer data to accelerate month-end close processes and build dynamic profit-and-loss statements that refresh automatically, keeping stakeholders informed with current figures rather than static snapshots. Data engineers can also streamline ETL workflows by automating the extraction of specific schemas into cloud warehouses for further transformation.

The Kondado platform takes care of refreshing SQLServer data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing SQLServer data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

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Once you configure your connection details below, your SQLServer data flows continuously into your chosen destination. Business teams can transform raw relational data into actionable intelligence through custom reports tracking key performance indicators like daily sales velocity, customer acquisition costs, and inventory turnover rates. Analysts can build pivot table sqlserver analyses in Google Sheets or create sophisticated visualizations in Power BI and Looker Studio that highlight trends in operational efficiency and revenue growth. By centralizing transaction records and master data, you enable cross-functional teams to monitor current business health through automated dashboards that replace static reporting cycles.

Combine SQLServer data with CRM platforms, marketing automation tools, and e-commerce sources within Kondado to create unified customer views and comprehensive funnel analyses that span the entire buyer journey. With automated updates running on your preferred schedule, these analyses stay current without manual intervention, ensuring your reports always reflect the latest business conditions.

Connector schema

Dynamic data

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

available pipeline

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

See all available data → Use this connector in chat (AI + MCP) →

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How to visualize SQLServer data in 3 steps

Connect SQLServer to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Configure SQLServer Connection Credentials

Provide your Host/Address, Port, Database name, Username, and Password in the Kondado interface, then whitelist Kondado's IP addresses on your database server to establish authorized access.

Select Tables and Destination

Choose which tables and schemas to replicate through dynamic mapping, then select your destination such as Power BI, Google Sheets, or BigQuery for centralized storage and analysis.

Analyze in Dashboards, Sheets, or Databases

Visualize your SQLServer data in Looker Studio dashboards, explore datasets in Google Sheets or Excel spreadsheets, or query replicated tables in PostgreSQL, BigQuery, Redshift, MySQL, or SQL Server databases for advanced analytics.

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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

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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

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Predictable pricing

No surprise invoices, pick a plan and change it anytime

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use SQLServer data

SQLServer > AI (Claude, ChatGPT, MCP)

SQLServer > Looker Studio

SQLServer > Power BI

Other visualizations

SQLServer > Amazon S3

SQLServer > BigQuery

SQLServer > Excel

SQLServer > Google Sheets

SQLServer > MySQL

SQLServer > PostgreSQL

SQLServer > Redshift

SQLServer > SQL Server

Choose a tool to visualize your SQLServer data

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

SQLServer > Airtable

SQLServer > Alteryx

SQLServer > Amazon Quicksight

SQLServer > BIMachine

SQLServer > Cortex

SQLServer > Data Studio

SQLServer > Geckoboard

SQLServer > Grafana

SQLServer > IBM Cognos Analytics

SQLServer > Klipfolio

SQLServer > Looker Studio

SQLServer > Looker

SQLServer > Looqbox

SQLServer > Metabase

SQLServer > Microstrategy

SQLServer > Pentaho

SQLServer > Power BI

SQLServer > Qlik Cloud Analytics

SQLServer > Qlik Sense

SQLServer > Qlik

SQLServer > QlikView

SQLServer > Redash

SQLServer > Superset

SQLServer > Tableau

SQLServer > BI TOTVS

SQLServer > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting SQLServer to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

How do I whitelist Kondado IP addresses for SQLServer connection? ▼

Your database administrator must add Kondado's IP addresses to the SQLServer firewall rules or security group settings to allow incoming connections. This requirement ensures that only authorized traffic can access your database instance during the replication process. You can find the specific IP ranges to whitelist in your Kondado account settings under the connection configuration page.

What credentials do I need to connect SQLServer to Kondado? ▼

You will need your SQLServer Host/Address, Port number, Database name, Username, and Password to establish the initial connection. These credentials allow Kondado to access your relational database and read the schemas and tables you select for replication. Ensure the provided user account has appropriate read permissions for the specific tables you intend to replicate.

Can I choose specific tables and schemas to replicate from SQLServer? ▼

Yes, Kondado uses dynamic mapping that lets you select exactly which tables, schemas, or collections you want to replicate rather than copying your entire database. This selective approach allows you to focus on relevant business data while optimizing processing time and storage costs at your destination. You can modify your selections anytime through the pipeline configuration interface.

Does Kondado support incremental sync for SQLServer data? ▼

Kondado replicates SQLServer data on a configurable schedule ranging from every 5 minutes to daily, capturing new and updated records since your last sync. This approach keeps your destination current without requiring full database refreshes, enabling efficient near-real-time analytics. You can adjust the sync frequency based on your business needs and data volume.

Which destinations can I send SQLServer data to? ▼

You can send SQLServer data to business intelligence tools like Power BI and Looker Studio, spreadsheets such as Google Sheets, and cloud data warehouses including BigQuery and PostgreSQL. Additional supported destinations include MySQL, Excel, Redshift, Amazon S3, and SQL Server. This flexibility allows you to choose the optimal environment for your specific analysis and reporting needs.

Can I combine SQLServer data with other sources in Kondado? ▼

Yes, you can create cross-platform pipelines that blend SQLServer data with sources like CRM systems, marketing platforms, and e-commerce tools within the same destination. This capability enables comprehensive analyses such as correlating sales transactions with marketing campaign performance or inventory levels with supplier data. Combining sources creates unified reports that provide holistic business intelligence across your entire technology stack.

How do I change which SQLServer tables are included in my pipeline? ▼

You can modify your table and schema selections at any time through the Kondado pipeline configuration interface without disrupting existing data flows. Simply access your SQLServer data source settings, adjust your selections to add new tables or remove unnecessary ones, and save your changes. The pipeline will automatically begin replicating the newly selected data on your next scheduled sync.

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