Azure SQL Integration | Database Analytics Made Easy
Connect Azure SQL and let AI agents query customer records, transactions, and KPIs alongside marketing data from 500+ platforms.
Key Takeaways Connect Azure SQL Database integration
Improvado connects directly to your Azure SQL Database through secure API protocols. Our platform extracts table data, stored procedures, and custom queries on your defined schedule. Data refreshes automatically every 15 minutes to 24 hours based on your requirements. No manual exports or CSV uploads needed.
Unified data across platforms
Improvado's Marketing Common Data Model normalizes your Azure SQL data alongside 500+ other sources. Customer records, transaction data, and business metrics flow into standardized schemas. Your Azure SQL tables join seamlessly with marketing platforms like Google Ads, Facebook, and Salesforce. Cross-platform analysis becomes possible without complex data engineering.
Data objects and fields Improvado extracts from Azure SQL
| Object | Fields |
|---|---|
| Tables | table_catalog table_schema table_name table_type created_date modified_date |
| Columns | table_name column_name ordinal_position data_type character_maximum_length is_nullable |
| Indexes | table_name index_name index_type is_unique is_primary_key column_name |
| Views | view_catalog view_schema view_name view_definition check_option is_updatable |
| Constraints | constraint_catalog constraint_schema constraint_name constraint_type table_name is_deferrable |
From connection to autonomous action in three steps
Connect
Connect via SQL Server authentication or Azure Active Directory. Provide server endpoint, database name, and credentials with read permissions for monitoring or write permissions for optimization actions. Connection validates schema access and query execution rights.
Ask
Ask questions like 'Which tables have grown most in the last week' or 'Show me slow-running queries consuming over 10 seconds' or 'What indexes are missing on high-traffic tables'.
Act
The agent creates indexes on frequently queried columns, archives old partition data, updates table statistics for query optimization, kills long-running queries blocking resources, and adjusts database scaling tiers based on load patterns.
What teams ask their AI agent about Azure SQL
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Combine Azure SQL customer data with Google Ads performance for complete attribution analysis
Your AI agent analyzes Azure SQL data and delivers actionable insights — automatically, in seconds.
Merge transaction records with marketing spend to calculate true customer lifetime value
Your AI agent analyzes Azure SQL data and delivers actionable insights — automatically, in seconds.
Build executive dashboards combining database KPIs with marketing performance metrics
Your AI agent analyzes Azure SQL data and delivers actionable insights — automatically, in seconds.
Your agent joins Azure SQL tables with every marketing campaign
Read
Reads table schemas, row counts, storage sizes, index configurations, query execution plans, performance metrics, connection pool stats, replication lag, backup status, and partition metadata across all databases in your Azure SQL instance.
Write
Writes by creating and dropping indexes, updating statistics, archiving partitions, killing blocking queries, adjusting compute tiers, configuring auto-scaling rules, setting up query store parameters, and modifying connection timeout settings.
Monitor
Monitors query execution times exceeding thresholds, storage capacity approaching limits, connection pool exhaustion, replication delays, index fragmentation levels, blocking query chains, failed backup jobs, and CPU utilization spikes during peak hours.
The AI agent queries customer transaction history, product sales, and database KPIs, then correlates them with Google Ads spend and campaign performance. It can calculate true customer lifetime value by acquisition channel, identify which campaigns drive repeat purchases, and explain revenue changes by matching database records with ad exposure. Ask it to find high-value customer segments and their acquisition costs.
| Table | Storage (GB) | Avg Query Time |
|---|---|---|
| customer_orders | 127.4 GB | 2.1s (-18%) |
| product_inventory | 89.2 GB | 1.4s (-12%) |
| shipment_tracking | 156.8 GB | 3.7s (+9%) |
| payment_transactions | 203.5 GB | 1.9s (-22%) |
| customer_sessions | 341.1 GB | 4.2s (+14%) |
Send Azure SQL data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Azure SQL as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
How does Improvado connect to Azure SQL Database?
What Azure SQL data can Improvado extract?
How often does Azure SQL data refresh in Improvado?
Can Improvado handle large Azure SQL databases?
Which destinations work with Azure SQL data?
Does Improvado transform Azure SQL data during extraction?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Azure SQL today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.