Microsoft SQL Server Data Integration | Enterprise Ready
Connect SQL Server and let AI agents query customer records, transactions, and sales data alongside marketing performance metrics.
Key Takeaways Connect Microsoft SQL Server integration
Improvado connects directly to your Microsoft SQL Server instances using secure API connections and database protocols. The platform extracts tables, views, and stored procedure results automatically based on your configuration. Data refreshes run on customizable schedules, from real-time to daily batches. No manual exports or CSV uploads required.
Unified data across all platforms
Improvado's Marketing Common Data Model (MCDM) standardizes SQL Server data alongside 500+ other sources. Column names, data types, and metrics align automatically across platforms. Your SQL Server customer data combines seamlessly with marketing channels, CRM records, and financial systems. Cross-platform analysis becomes possible without custom mapping.
Data objects and fields Improvado extracts from Microsoft SQL Server
| Object | Fields |
|---|---|
| sys.tables | table_name schema_name create_date modify_date row_count |
| sys.columns | column_name data_type max_length is_nullable is_identity |
| sys.indexes | index_name type_desc is_unique is_primary_key fill_factor |
| sys.databases | database_name create_date compatibility_level recovery_model_desc state_desc |
| sys.dm_exec_sessions | session_id login_name host_name program_name login_time status |
From connection to autonomous action in three steps
Connect
Authenticate once with SQL Server credentials or Azure AD. Improvado auto-discovers your schemas, tables, and relationships across 1000+ data sources, normalizing metadata instantly for the AI agent.
Ask
Ask about table row counts, ingestion volumes, pipeline status, data freshness lag, backfill progress, or query performance. The agent surfaces SQL Server metrics in seconds without writing SQL.
Act
The agent triggers backfills, pauses pipelines, schedules ingestion jobs, creates indexes, and updates table schemas in SQL Server. Every write operation is logged with timestamps, user attribution, and rollback capability.
What teams ask their AI agent about Microsoft SQL Server
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Combine SQL Server customer data with Facebook Ads and Google Analytics for complete journey view
Your AI agent analyzes Microsoft SQL Server data and delivers actionable insights — automatically, in seconds.
Merge transactional data with ad spend to calculate true ROAS across all marketing channels
Your AI agent analyzes Microsoft SQL Server data and delivers actionable insights — automatically, in seconds.
Create executive dashboards combining SQL Server sales data with marketing performance metrics
Your AI agent analyzes Microsoft SQL Server data and delivers actionable insights — automatically, in seconds.
Your agent joins SQL Server tables with ad spend to calculate true ROAS
Read
Reads datasets, row counts, ingestion volumes, pipeline statuses, data freshness timestamps, backfill progress, table schemas, index usage stats, and query execution plans from your SQL Server warehouses.
Write
Writes backfill jobs, pipeline schedules, ingestion configurations, table indexes, schema modifications, data retention policies, and automated maintenance tasks directly to SQL Server with full audit trails.
Monitor
Monitors data freshness SLAs, pipeline failures, ingestion anomalies, schema drift, query performance degradation, storage capacity thresholds, and sends real-time alerts when thresholds are breached.
The AI agent queries tables, views, and stored procedures from your SQL Server database directly. It can match transaction records with marketing touchpoints to calculate actual return on ad spend across all channels. Ask it to identify high-value customer segments or correlate product purchases with specific campaign activities.
| Pipeline | Rows Ingested | Avg Daily Volume |
|---|---|---|
| marketing_events_etl | 18.4M | 2.6M/day |
| sales_crm_sync | 12.1M | 1.7M/day |
| product_analytics_stream | 9.8M | 1.4M/day |
| customer_support_logs | 6.3M | 900K/day |
| financial_reporting_batch | 4.2M | 600K/day |
Send Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server?
Can I sync specific tables or the entire SQL Server database?
What destinations work with SQL Server data from Improvado?
Does Improvado transform SQL Server data automatically?
How often can SQL Server data refresh in Improvado?
What SQL Server versions does Improvado support?
"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 Microsoft SQL Server today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.