PostgreSQL reporting tools are essential for transforming raw data stored in PostgreSQL databases into actionable insights. Whether you're monitoring sales, tracking customer behavior, or managing inventory, the right PostgreSQL reporting solution can make a significant difference.
What Are PostgreSQL Reporting Tools?
PostgreSQL reporting tools help users extract, organize, and visualize data stored in a PostgreSQL database. These tools can range from lightweight open-source platforms to enterprise-grade business intelligence suites capable of real-time dashboards and advanced analytics.
How to Choose the Right PostgreSQL Reporting Tool
- Ease of Use
- Features
- Integration
- Cost
- Security & Support
Top 9 PostgreSQL Reporting Tools to Consider in 2025
1. DataReportive
Best for: Teams that want fast, flexible reporting with no setup hassle
DataReportive is a modern reporting tool built for PostgreSQL. It’s ideal for teams needing quick, no-code reporting and scheduled dashboards without BI complexity.
- Pros: Clean UI, simple setup, scheduled reports, affordable
- Cons: Still maturing, limited data modeling
2. Domo
Domo is a comprehensive BI platform that supports PostgreSQL reporting with powerful visualization, integration, and real-time data features.
- Pros: All-in-one BI, real-time dashboards
- Cons: Expensive, complex setup
3. pgAdmin
pgAdmin is a free PostgreSQL administration tool with basic reporting capabilities. Best for developers and DBAs.
- Pros: Free, trusted, great for DB management
- Cons: Minimal visualization, not user-friendly for reporting
4. Metabase
An open-source platform with drag-and-drop dashboards, Metabase is perfect for teams new to reporting.
- Pros: Free, easy to use, quick setup
- Cons: Lacks advanced analytics, limited scalability
5. Tableau
Tableau is known for powerful, interactive visualizations and seamless PostgreSQL integration.
- Pros: Great for data storytelling, robust features
- Cons: Costly, steep learning curve
6. Power BI
Power BI works well with PostgreSQL and integrates deeply with Microsoft tools, offering easy-to-build dashboards and models.
- Pros: Affordable, easy to use, Microsoft ecosystem
- Cons: Limited Linux/macOS support, paywall for premium features
7. Looker
Looker is scalable and ideal for companies needing structured reporting with data modeling.
- Pros: Custom data models, real-time analytics
- Cons: Requires technical setup, not beginner-friendly
8. Superset
Apache Superset is an open-source platform for real-time dashboards and data exploration.
- Pros: Free, highly customizable, supports many data sources
- Cons: Requires technical setup, fewer native charts
9. Qlik
Qlik uses an associative engine for intuitive data discovery, ideal for PostgreSQL users seeking deep exploration.
- Pros: Great for discovery, fast performance
- Cons: Expensive, not beginner-friendly
FAQs About PostgreSQL Reporting
- Is PostgreSQL good for reporting?
- Yes. PostgreSQL supports complex queries, data aggregation, and integrates well with modern BI tools.
- How do I create reports from PostgreSQL?
- Use SQL to extract data, and tools like DataReportive or Metabase to format and visualize the results.
- What’s the AWR equivalent in PostgreSQL?
- Use the
pg_stat_statementsextension to monitor query performance, similar to Oracle’s AWR. - How do I visualize SQL queries?
- Use BI tools like Tableau, Power BI, or DataReportive to turn query results into charts and dashboards.
- What are PostgreSQL’s disadvantages?
- It has a steeper learning curve and may need tuning for high-volume writes or very large datasets.
Need help setting up your PostgreSQL reporting? Try DataReportive and transform your data into actionable insights today.