9 Best PostgreSQL Reporting Tools in 2025
PostgreSQL reporting tools are specifically tailored to transform raw data within a PostgreSQL database into visually appealing and informative reports. They enable you to create charts, graphs, and tables that unveil patterns, trends, and crucial business insights. PostgreSQL tools are like a smart organizer for your data—it’s a popular and open-source relational database management system (RDBMS) for businesses.
Think of them as data storytellers. These tools take all the information stored in your PostgreSQL database and turn it into meaningful reports and insights.
Whether you’re tracking sales, analyzing website traffic, or managing inventory, PostgreSQL reporting tools simplify large or complex data and help you make informed decisions. Plus, since PostgreSQL is open source and cost effective, and it has a vibrant community that constantly provides support and recommendations for improvement. So, it’s a win-win for those looking to take their data analytics game to the next level.
What are PostgreSQL reporting tools?
PostgreSQL reporting tools encompass a suite of software applications and utilities designed to help users manage, manipulate, and extract valuable insights from their PostgreSQL databases. They include database management tools, command-line utilities for data import and export, and specialized tools for monitoring and optimizing database performance. These tools collectively empower users to interact with PostgreSQL databases efficiently, making them a versatile and reliable choice for handling data.
What makes PostgreSQL reporting unique is its flexibility and robustness. You can utilize various reporting tools such as Domo or Metabase, or even build custom solutions using programming languages like Python or R to generate reports customized to your precise requirements.
PostgreSQL reporting supports businesses through its ability to help companies make informed decisions based on data-driven insights. Whether it’s monitoring sales performance, analyzing customer behavior, or optimizing inventory management, PostgreSQL reporting tools empower organizations to harness the full potential of their data, ultimately leading to more efficient operations and better decision-making. Plus, PostgreSQL’s open-source nature ensures cost-effectiveness and a supportive community continually enhancing these reporting capabilities, making it a valuable asset for businesses of all sizes.
How to choose a PostgreSQL reporting tool
Choosing the right PostgreSQL reporting tool can significantly impact your ability to derive valuable insights from your data. Here are some features to consider when you’re evaluating and comparing different tools:
- Cost and budget: Ensure the tool’s pricing aligns with your budget, considering both initial and ongoing costs.
- Ease of use: Choose a user-friendly tool that suits your team’s technical skills to minimize learning curves.
- Reporting features: Assess the tool’s reporting capabilities, including customization, data visualization, and scheduling options.
- Compatibility and integration: Confirm that the tool is compatible with your PostgreSQL version and can seamlessly integrate with your existing data sources and systems.
- Data security and support: Prioritize tools with robust data security features and responsive customer support to safeguard your data and get help when needed.
Top 9 PostgreSQL reporting tools to consider in 2025
PostgreSQL reporting tools come in various shapes and sizes, catering to a wide range of reporting and data visualization needs. These tools can be broadly categorized into open-source and commercial solutions.
Open-source options like pgAdmin, Metabase, Superset, and Redash offer cost-effective ways to manage databases and create basic reports, making them particularly suitable for small to mid-sized businesses. On the other hand, commercial tools like Tableau, Power BI, Looker, and Domo provide robust data analytics, advanced visualization, and integration capabilities, making them ideal for large enterprises with complex reporting demands.
Whether you need simplicity and affordability or advanced analytics and scalability, there’s a PostgreSQL reporting tool to suit your specific requirements, helping you turn raw data into actionable insights. It’s worth noting that open-source PostgreSQL reporting tools offer excellent entry points for businesses looking to get started with reporting without significant financial commitments. They are cost effective and can fulfill basic reporting needs.
However, as organizations grow and require more advanced analytics, data integration, and scalability, investing in a paid PostgreSQL reporting tool becomes a viable option. Commercial solutions excel in offering comprehensive features, professional support, and seamless integration capabilities.
Here are some of the top PostgreSQL reporting tools on the market. Look at each of these tools and their features to consider which could be a good fit for your business:
1. Domo
Domo is an all-in-one business intelligence platform with extensive data integration and collaboration tools for real-time PostgreSQL reporting and insights, making it attractive to organizations seeking a comprehensive solution. Users benefit from its real-time data sharing and collaboration features.
Pros: All-in-one business intelligence platform; extensive data integration and collaboration tools; real-time data sharing and collaboration features.
Cons: Licensing costs can be high; complex pricing structure; may have a learning curve for setup and configuration.
2. pgAdmin
pgAdmin offers basic reporting capabilities and efficient database management for PostgreSQL. pgAdmin is renowned for its comprehensive database management capabilities, making it a top choice for businesses seeking a free, open-source solution. Users benefit from its simplicity and reliability in performing essential PostgreSQL tasks.
Pros: Open-source and free; comprehensive database management features; active community support.
Cons: Primarily focused on database management, limited reporting features; user interface may not be as intuitive as some dedicated reporting tools.
3. Metabase
Metabase provides user-friendly data exploration and visualization with a focus on simplicity. Metabase’s strength lies in its user-friendly interface and rapid setup, making it particularly attractive to businesses aiming for a quick start in data exploration. Users appreciate its intuitive design for generating basic reports and dashboards.
Pros: Open source and user-friendly; quick setup and easy to use; suitable for basic reporting needs.
Cons: May lack advanced reporting and analytics features; limited scalability for complex reporting requirements.
4. Tableau
Tableau excels in powerful data visualization, analytics, and handling large data sets for PostgreSQL reporting. Tableau’s standout feature is its robust data visualization and analytics capabilities, making it an ideal choice for organizations with complex reporting needs. Users are drawn to its ability to create interactive, data-rich reports and share insights across the organization.
Pros: Powerful data visualization and analytics capabilities; excellent support for large datasets; wide range of integrations and extensions.
Cons: Costly licensing for enterprise features; steeper learning curve for beginners
See how Domo compares to Tableau.
5. Power BI
Power BI seamlessly integrates with PostgreSQL, offering user-friendly reporting and robust data modeling. Additionally, Microsoft’s Power BI offers seamless integration with Microsoft’s ecosystem and the cloud, making it a compelling choice for businesses already invested in these technologies. Users find it convenient for creating visually compelling reports using familiar tools.
Pros: Seamless integration with Microsoft products and cloud services; user-friendly interface; strong support for data modeling and transformation.
Cons: Licensing costs for advanced features; limited capabilities for non-Windows environments.
Look at Domo and Power BI side by side
6. Looker
Looker is known for its scalability and real-time data exploration, making it a strong choice for PostgreSQL reporting. Looker’s scalability and real-time data handling make it an excellent option for growing businesses with evolving data requirements. Users can harness its data modeling features to delve deep into their data sets.
Pros: Scalable and real-time data exploration; strong support for data modeling and exploration; high-level customization.
Cons: Can be complex to set up and configure; requires a solid understanding of data modeling.
See how Looker stacks up against Domo.
7. Superset
Superset, as an open-source tool, offers versatile data exploration and interactive dashboarding with PostgreSQL. Superset’s open-source nature and integration capabilities with various data sources make it an attractive choice for businesses looking for versatility and customization. Users value its interactive and real-time dashboard features.
Pros: Open-source and highly customizable; supports various data sources; interactive and real-time dashboards.
Cons: May require technical expertise to set up; limited in-built visualization options compared to some other tools.
8. Qlik
Qlik’s associative data model facilitates intuitive data exploration and analysis for PostgreSQL reporting. QlikView’s unique associative data model sets it apart, allowing users to explore data intuitively. It’s a strong choice for businesses prioritizing quick data discovery and exploration.
Pros: Unique associative data model for intuitive data exploration; in-memory data processing for fast performance; excellent data discovery capabilities.
Cons: Licensing costs can be high; may not be as user-friendly as some other tools.
9. Yellowfin BI
Yellowfin BI offers comprehensive analytics, collaboration, and storytelling features for PostgreSQL reporting. Yellowfin BI’s comprehensive analytics and storytelling capabilities make it suitable for businesses that want to collaborate and communicate insights effectively. Users can leverage its storytelling features to craft compelling data narratives.
Pros: Comprehensive analytics and storytelling capabilities; collaboration features for effective team communication; strong support for various data sources.
Cons: Licensing costs for advanced features; may require training for effective use.
PostgreSQL reporting tools offer a diverse array of solutions to meet your reporting and data visualization needs. Open-source options provide accessible entry points for those starting out, allowing them to manage databases and create basic reports effectively. However, as businesses evolve and demand more advanced analytics, seamless data integration, and scalability, transitioning to a paid PostgreSQL reporting tool like Domo becomes an attractive proposition.
Domo’s all-in-one business intelligence platform makes it a compelling choice for organizations ready to level up their reporting game. With Domo, you can transform your data into actionable insights, empowering your business to make informed decisions and drive growth. So, whether you’re just beginning your data analytics journey or seeking to elevate your reporting capabilities, there’s a PostgreSQL reporting tool suited to your specific needs and goals.
PostgreSQL reporting tools FAQs
Have additional questions about PostgreSQL reporting or how to choose the best PostgreSQL reporting tool? We’re here with answers.
Is Postgres good for reporting?
Yes, PostgreSQL (Postgres) is well-suited for reporting due to its robust SQL capabilities, support for complex queries, and compatibility with various reporting tools. It offers features like data aggregation, filtering, and sorting, making it a reliable choice for generating insightful reports.
How can I create a report in PostgreSQL?
To create a report in PostgreSQL, you can use Domo SQL queries to extract the desired data from your database. Next, employ reporting tools like pgAdmin, Metabase, or custom scripting in languages like Python to format and visualize the results into meaningful reports with charts, graphs, and tables.
What is the equivalent of AWR report in Postgres?
In PostgreSQL, you can use the ‘pg_stat_statements’ module to collect and analyze query performance statistics, somewhat similar to Oracle’s AWR (Automatic Workload Repository) report. It provides insights into query execution times, helping you identify performance bottlenecks.
How do I visualize SQL queries?
You can visualize SQL queries by using reporting and visualization tools like Tableau, Power BI, or even open-source solutions like Metabase. These tools allow you to create visual representations of query results, making it easier to interpret and analyze data.
What are the disadvantages of PostgreSQL?
Some disadvantages of PostgreSQL include a steeper learning curve for beginners, potentially slower performance with very large data sets, and a smaller pool of third-party extensions compared to some other database systems. Additionally, while it supports ACID transactions, it may require more manual tuning for high write-intensive workloads.