MySQL + Improvado: Database Analytics Solved

Connect MySQL and let AI agents query customer records, transaction data, and product catalogs alongside ad spend from 1,000+ marketing sources.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to MySQL

What's the freshness status of our customer_events dataset and how's ingestion performing?

Your customer_events dataset has 847.3M rows with last refresh 47 minutes ago. Current ingestion rate is 1.2M rows/hour across 3 active pipelines. Data freshness is within SLA by 23 minutes.

That ingestion rate seems slow for peak hours. Can you trigger a backfill for the last 6 hours and scale up the pipeline?

Backfill initiated for customer_events covering 6.4M rows. Pipeline scaled to 5 workers, estimated completion in 38 minutes. Ingestion rate now at 3.1M rows/hour.

Trusted by data-driven teams

1,000+

Integrations

200+

MySQL Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Connect MySQL databases automatically

Improvado connects directly to your MySQL databases through secure API connections. Extract customer records, transaction data, product catalogs, and custom business metrics without writing SQL queries. Set up automated data pulls that run every 15 minutes to 24 hours based on your needs. Your MySQL data flows into destinations like Snowflake, BigQuery, or Tableau with zero manual intervention.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the MySQL API

15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.

Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.

Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio

AI Agent access via MCP Query, write, and monitor MySQL through Claude, ChatGPT, Cursor, or any MCP client

Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.

OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.

Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.

Integration Details

Unified data across all business systems

Improvado's Marketing Common Data Model normalizes MySQL data alongside 500+ marketing and business platforms. Customer IDs from MySQL match with campaign data from Google Ads, sales data from Salesforce, and analytics from Adobe. Build complete customer journey reports that span database records and marketing touchpoints. Cross-reference product performance with inventory levels and customer lifetime value.

MySQL native connector · password/SSL auth · 15-min latency · JDBC driver

Schema Overview

Data objects and fields Improvado extracts from MySQL

Object	Fields
Mode	full refresh incremental append-only
Latency	real-time 15-min hourly daily
Schema	CDM normalized raw passthrough custom mapping
Destination	tables views
Replication	binlog CDC batch load incremental key

How it works

From connection to autonomous action in three steps

Connect

Connect your MySQL warehouse with secure credentials. Improvado auto-discovers schemas, normalizes table structures, and integrates with 1000+ data sources feeding your warehouse—no manual mapping required.

Ask

Ask about dataset freshness, row counts, ingestion volumes, pipeline status, backfill progress, or query performance. The agent surfaces real-time metrics from your MySQL instance in conversational language.

Act

The agent triggers backfills, pauses or resumes pipelines, adjusts ingestion schedules, archives stale datasets, and optimizes warehouse performance. Every write operation is logged with full audit trails and governance controls.

Use Cases

What teams ask their AI agent about MySQL

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →

Improvado Agent Analysis

Combine MySQL customer data with Google Ads to calculate true ROAS by customer segment

Your AI agent analyzes MySQL data and delivers actionable insights — automatically, in seconds.

6 hrs → 20 min

Improvado Agent Cross-channel

Match transaction records with campaign attribution for accurate marketing ROI analysis

Your AI agent analyzes MySQL data and delivers actionable insights — automatically, in seconds.

Manual → auto

Improvado Agent Reporting

Create executive dashboards showing revenue, customers, and marketing performance together

Your AI agent analyzes MySQL data and delivers actionable insights — automatically, in seconds.

4 hrs → 10 min

AI Agent Access

Your agent doesn't just read MySQL — it joins transactions with campaigns

Read

Read dataset schemas, row counts, ingestion volumes, data freshness timestamps, pipeline statuses, backfill progress, query performance metrics, table sizes, and warehouse capacity utilization across all connected MySQL instances.

Write

Write backfill requests, pause or resume data pipelines, adjust ingestion schedules, create new dataset definitions, archive obsolete tables, modify retention policies, and trigger manual refresh jobs for specific datasets.

Monitor

Monitor data freshness SLA breaches, ingestion rate anomalies, pipeline failures, warehouse capacity thresholds, query performance degradation, missing dataset updates, and backfill completion status with real-time alerts.

AI agents match MySQL transaction records to Google Ads campaign IDs for true ROAS calculations by customer segment. They query product catalogs and customer lifetime values, then correlate with Facebook spend to identify high-value audiences. Agents monitor database load during automated pulls and adjust sync schedules when query times exceed thresholds.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · MySQL

You

Show top 5 datasets by ingestion volume in the last 24 hours

Dataset Ingestion

Dataset	Rows Ingested	Freshness
customer_events	28.4M	47 min
ad_impressions	19.7M	1.2 hrs
transactions	12.1M	22 min
user_sessions	8.9M	58 min
product_views	6.3M	1.8 hrs

5 datasets · 75.4M rows ingested · avg freshness 1.1 hrs

You

Pause ingestion for product_views dataset to investigate data quality issues

Pipeline Paused

product_views ingestion stopped · 2 active pipelines paused

Destinations

Send MySQL data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

Compare

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 MySQL 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.

FAQ

Frequently asked questions

How does Improvado connect to MySQL databases?

Improvado uses secure database connections through your MySQL host and port. You provide read-only credentials and specify which tables or views to extract. All connections use SSL encryption and support VPN or IP whitelisting for additional security.

Can I extract specific MySQL tables and columns?

Yes, you can select specific tables, views, and columns during setup. Improvado also supports custom SQL queries to extract calculated fields or joined data. You control exactly which data gets pulled from your MySQL database.

How often does MySQL data sync to my warehouse?

MySQL data can sync every 15 minutes up to once daily, depending on your plan. Improvado tracks changes since the last sync to minimize database load. Large historical imports are handled separately from ongoing incremental updates.

What MySQL versions does Improvado support?

Improvado supports MySQL 5.6 and newer, including MySQL 8.0. We also connect to MariaDB and Amazon RDS MySQL instances. Cloud-hosted and on-premise MySQL databases are both supported.

Can I join MySQL data with marketing platform data?

Yes, Improvado's MCDM automatically maps common fields like customer_id and email across MySQL and marketing platforms. You can join transaction data with campaign data, customer records with ad performance, and product data with marketing metrics.

Does the MySQL integration affect database performance?

Improvado uses read-only connections and can be configured to run during off-peak hours. We support read replicas to avoid impacting your production database. Query optimization ensures minimal resource usage during data extraction.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

Read story →

“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.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

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Put an AI agent on your MySQL today

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