Oracle Integration for Enterprise Data Unification
Connect Oracle and let AI agents query marketing campaigns alongside sales data from 500+ platforms in your enterprise database.
Key Takeaways Automate marketing data integration with Oracle
Improvado extracts marketing data from 500+ platforms and loads it directly into your Oracle database through secure connections. The platform handles complex API authentication and manages data extraction schedules automatically. Marketing metrics refresh every hour, ensuring your Oracle environment contains current performance data from all channels. Integration requires no custom Oracle procedures or manual data imports.
Standardized data across marketing platforms
The Marketing Common Data Model (MCDM) transforms disparate marketing data into consistent Oracle table structures. Campaign performance from different platforms uses standardized field names and data types within your Oracle schema. This normalization enables complex joins between marketing and business data already stored in Oracle. Analytics teams can correlate marketing spend with revenue data using familiar Oracle SQL queries.
Data objects and fields Improvado extracts from Oracle
| Object | Fields |
|---|---|
| Campaign | campaign_id campaign_name spend impressions clicks conversions status budget |
| Ad Group | ad_group_id ad_group_name bids status impressions clicks spend |
| Ad | ad_id ad_name ad_format CTR impressions spend creative_type |
| Keyword | keyword_id keyword_text match_type CPC impressions clicks conversions |
| Conversion | conversion_id conversion_name conversion_type conversion_value attribution_model |
From connection to autonomous action in three steps
Connect
Connect your Oracle database instances via JDBC connection strings with read/write credentials, or integrate Oracle Cloud Infrastructure APIs using OAuth 2.0 tokens. The agent securely stores connection details and validates access to target schemas.
Ask
Ask questions like 'Which tablespaces are approaching capacity limits?' or 'Show me slow-running queries in the last 24 hours across all production instances' — the agent queries system views and performance metrics in real time.
Act
The agent executes maintenance tasks like rebuilding fragmented indexes, gathering optimizer statistics, adjusting SGA parameters, killing long-running sessions, and scheduling backup jobs based on your approval.
What teams ask their AI agent about Oracle
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Join marketing campaign data with Oracle sales tables for complete customer acquisition analysis
Your AI agent analyzes Oracle data and delivers actionable insights — automatically, in seconds.
Calculate customer lifetime value using unified marketing touch points in Oracle environment
Your AI agent analyzes Oracle data and delivers actionable insights — automatically, in seconds.
Generate board reports combining Oracle financial data with normalized marketing metrics
Your AI agent analyzes Oracle data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Oracle — it joins sales with ad spend
Read
The agent reads database performance metrics, tablespace utilization, active session data, query execution plans, backup job status, schema object statistics, and system resource consumption across your Oracle instances.
Write
The agent executes index rebuilds, updates optimizer statistics, modifies initialization parameters, terminates blocking sessions, schedules RMAN backup jobs, and adjusts resource manager plans to optimize database performance.
Monitor
The agent monitors tablespace capacity thresholds, long-running query patterns, backup job failures, session lock contention, memory allocation changes, and performance degradation trends to trigger proactive maintenance.
The AI agent queries marketing touch points from Google Ads, LinkedIn, and Salesforce stored in your Oracle tables. It joins campaign data with Oracle financial records to calculate customer acquisition costs and lifetime value by channel. The agent generates board reports combining revenue data with normalized marketing metrics and alerts you when CAC trends exceed targets.
| Instance | Query Load | Performance |
|---|---|---|
| PROD-FIN-01 | 12.4K queries/min | +8% vs baseline |
| PROD-SCM-02 | 8.9K queries/min | -3% vs baseline |
| PROD-HR-01 | 4.2K queries/min | +15% vs baseline |
| PROD-CRM-03 | 6.7K queries/min | +2% vs baseline |
| PROD-INV-02 | 9.1K queries/min | -5% vs baseline |
Send Oracle 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 Oracle 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 Oracle databases?
Can Improvado work with Oracle Cloud and on-premise installations?
What happens to existing Oracle data when Improvado loads marketing data?
Does Improvado support Oracle-specific data types?
Can I query Improvado data using Oracle SQL Developer?
How does Improvado handle Oracle performance optimization?
"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 Oracle today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.