Connect PostgreSQL — Open Source Database Power
Connect PostgreSQL and let AI agents query campaign data, run window functions for attribution, and monitor materialized views across all sources.
Key Takeaways Connect marketing data to PostgreSQL
Improvado loads data from Google Ads, Facebook, Salesforce, HubSpot, and 500+ marketing sources directly into PostgreSQL databases. The platform creates tables, indexes, and constraints automatically for optimal query performance. Incremental loads use COPY commands and upsert operations to handle data updates efficiently. SSL connections and connection pooling ensure reliable, secure data transfer.
Normalized database architecture
Improvado's Marketing Common Data Model creates PostgreSQL schemas with proper normalization and foreign key relationships. Campaign metrics, customer data, and attribution models follow consistent naming conventions and data types. Join tables efficiently with optimized indexes on frequently queried columns. Build scalable analytics applications that leverage PostgreSQL's advanced query capabilities.
Data objects and fields Improvado extracts from PostgreSQL
| 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 materialized views |
| Replication | logical replication CDC batch load |
From connection to autonomous action in three steps
Connect
Authenticate once with your PostgreSQL credentials. Improvado auto-maps schemas, normalizes column types, and connects to 1000+ data sources feeding your warehouse—no manual configuration required.
Ask
Ask in plain English about table freshness, row counts, ingestion volumes, pipeline status, or backfill progress. The agent surfaces dataset lineage, query performance, and schema changes instantly.
Act
The agent triggers backfills, restarts failed pipelines, adjusts ingestion schedules, pauses data syncs, and creates new transformation jobs. Every write operation is logged with user attribution and rollback capability.
What teams ask their AI agent about PostgreSQL
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Consolidate Google Ads, Facebook, and CRM data in PostgreSQL for unified customer analytics
Your AI agent analyzes PostgreSQL data and delivers actionable insights — automatically, in seconds.
Build marketing attribution models using PostgreSQL window functions and advanced SQL
Your AI agent analyzes PostgreSQL data and delivers actionable insights — automatically, in seconds.
Create real-time marketing dashboards with PostgreSQL materialized views
Your AI agent analyzes PostgreSQL data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read PostgreSQL — it runs window functions for attribution
Read
Pull real-time metrics on table row counts, data freshness timestamps, ingestion volumes by source, pipeline run status, backfill queue depth, schema drift alerts, and query execution times across all datasets.
Write
Trigger backfills for specific time ranges, restart failed pipeline runs, pause or resume data ingestion schedules, create new transformation jobs, adjust pipeline configurations, and update data retention policies.
Monitor
Monitor pipeline failure rates exceeding thresholds, data freshness falling outside SLA windows, ingestion volume anomalies, schema changes on critical tables, and slow-running queries impacting warehouse performance.
AI agents write queries using PostgreSQL window functions to calculate first-touch, last-touch, and multi-touch attribution across channels. They refresh materialized views when campaign data updates and join Facebook spend with CRM conversions in real time. Agents monitor index usage and suggest new indexes when query performance degrades.
| Pipeline | Failed Runs | Failure Rate |
|---|---|---|
| google_ads_sync | 14 | 8.2% |
| salesforce_daily | 9 | 5.1% |
| facebook_ads_sync | 7 | 4.3% |
| stripe_transactions | 3 | 1.9% |
| hubspot_contacts | 2 | 1.4% |
Send PostgreSQL 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 PostgreSQL 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
What marketing data sources connect to PostgreSQL through Improvado?
How does Improvado optimize PostgreSQL performance?
Can Improvado handle PostgreSQL schema migrations?
What PostgreSQL versions does Improvado support?
How often does marketing data load into PostgreSQL?
Does Improvado support PostgreSQL high availability setups?
"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 PostgreSQL today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.