List of the Top 25 Data Modeling Tools for PostgreSQL in 2025

Accelerate the design and deployment of advanced data models using the automated functionalities of AnalyticsCreator. Our efficient workflows enhance communication among stakeholders and guarantee compliance with industry standards. Our platform accommodates a wide range of modeling methodologies, such as medallion, dimensional, data mart, data vault, and hybrid strategies, providing the versatility needed for any initiative. Produce precise, top-notch code compatible with platforms such as Azure Synapse, Power BI, and Tableau. Utilize intuitive visual modeling tools and thorough documentation to engage stakeholders, promoting enhanced collaboration and informed decision-making during the entire data modeling process.

KS DB Merge Tools serves as an intuitive diff and merge solution for various databases, including MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, and SQLite, enabling users to effectively compare and synchronize both schema and data. Initially, it presents a summary of schema modifications, which can then be refined to display lists of specific object types, such as table definitions and views, ultimately allowing users to drill down to the details of individual objects. Additionally, data modifications can be summarized as a comprehensive list indicating the total changes across all tables, with the ability to view side-by-side comparisons of row counts for each table, providing insight into specific column changes for any altered rows. The tool features various filtering options to quickly isolate new, modified, or both new and modified items, whether they pertain to schema objects or table data rows, and allows users to select specific changes to generate scripts for applying these modifications to another database. Furthermore, users have the flexibility to execute these scripts immediately or store them for later application, enhancing their workflow and efficiency. This comprehensive functionality makes KS DB Merge Tools an invaluable resource for database management and synchronization tasks.

A cutting-edge online platform for database design and modeling has gained the trust of over 315,395 users, including more than 50,000 organizations ranging from major governmental institutions and large corporations to small enterprises, as well as a diverse network of over 150,000 freelancers, database administrators, developers, and engineers. While its interface may appear simple, our web application is recognized as the most advanced and dependable solution available, allowing users to visually construct databases online with ease. You have the flexibility to initiate your project from scratch, much like creating a UML diagram, or you can effortlessly import an existing database for adjustments. Utilize our extensive features to boost productivity and reduce errors while collaborating seamlessly with your team members. When your design is finalized, generating an SQL script is merely a click away. Although the interface seems straightforward, it encompasses a wide range of powerful tools tailored for quick and intuitive use, ensuring that every essential feature is readily accessible. By utilizing our platform, you can greatly minimize mistakes and optimize your time as you create, import, and export SQL scripts that are compatible with all leading database engines, facilitating a smooth workflow for any project. Furthermore, our commitment to continuous improvement ensures that users will benefit from regular updates and new features designed to enhance their experience even further.

Presenting a flexible and complimentary database management solution tailored for developers, database administrators, analysts, and anyone who interacts with databases. This tool is compatible with a broad array of widely-used databases, such as MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, and Presto, among others. The latest enhancements feature a new format configuration editor for the "Copy As" functionality, improved performance through added configurations in the filter dialog, and a sorting capability by column that maintains fixed settings for smaller fetch sizes. Users can now take advantage of case-insensitive filters, and the plaintext view has been upgraded with the addition of top and bottom dividers for better organization. Moreover, the data editor has been revised to resolve issues related to conflicts between column names and alias names, while the command for duplicating rows has been corrected for scenarios involving multiple selections. The context menu has been refreshed to reinstate the edit sub-menu, and new auto-sizing configurations for columns have been implemented to enhance usability. In addition, the dictionary viewer has been fixed for compatibility with read-only connections, and new features allow for highlighting of current and selected rows, which users can customize based on their preferences. This tool is committed to continuous improvement, ensuring that users have an optimal experience while managing their database tasks and challenges. The focus remains on providing a powerful, user-friendly interface that keeps pace with evolving technology and user needs.

JMP, a data analysis tool available for both Mac and Windows, integrates robust statistical capabilities with engaging interactive visualizations. Users can effortlessly import and analyze data thanks to its drag-and-drop interface, which features dynamically linked graphics, extensive libraries of advanced analytical tools, a scripting language, and various options for sharing insights, enabling a more profound exploration of data. Founded in 1980, JMP was created to harness the emerging potential of graphical user interfaces for personal computers, and it has consistently evolved by incorporating state-of-the-art statistical techniques in each new version. Remarkably, John Sall, the founder of JMP, remains actively involved in the development of the software as its Chief Architect, ensuring that it stays at the forefront of data analysis innovation.

DbSchema is a cutting-edge application tailored for collaborative visual design, deployment, and documentation of database schemas among team members. Featuring a variety of integrated tools like data exploration, a visual query editor, and a data generator, it proves to be an indispensable asset for anyone engaged in daily database work. The tool supports a broad spectrum of relational and No-SQL databases, such as MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, and Google, thereby addressing a multitude of database requirements. A highlight of DbSchema is its ability to reverse-engineer database schemas, transforming them into visual diagrams that users can interact with through other visual tools. Moreover, the DbSchema model retains its own version of the schema, which is separate from the actual database, facilitating smooth deployment across various platforms. This unique feature allows users to save their design models as files, utilize GIT for storage, and collaborate on schema designs without the necessity of a direct database connection. Users can also easily compare various schema versions and create SQL migration scripts, thereby boosting their overall workflow efficiency. In essence, DbSchema not only enhances team collaboration but also significantly optimizes database management workflows, making it an invaluable tool in the field.

Elevate your web browser by transforming it into an advanced database modeling platform designed specifically for professionals, enabling you to create designs of any complexity, whether they are logical or physical. This tool boasts the ability to produce DDL and migration scripts for top-tier database management systems, functioning much like Google Docs but tailored for crafting database architectures. Users can create, share, and access their database models from virtually anywhere at any time, enhancing flexibility and collaboration. If you have an existing database project, importing it into Vertabelo is a straightforward process. The user-friendly reverse engineering tool and automated layout functionality make the entire experience remarkably efficient. Additionally, for those looking to broaden their expertise in diverse areas, explore our specialized library that provides valuable insights into Database Design Fundamentals, design patterns, practical database design, along with SQL and data science online courses. This comprehensive resource is designed to help you advance your skills and maintain a competitive edge in the fast-paced realm of database management while fostering a continuous learning environment.

HeidiSQL is a free software tool designed for ease of use, enabling users to view and modify data as well as manage structures on systems utilizing MariaDB, MySQL, or Microsoft SQL databases. Created by Ansgar in 2002, HeidiSQL has become one of the leading applications for working with MariaDB and MySQL. This open-source program is accessible to all and allows for the simultaneous connection of multiple servers within a single interface. It supports not only MariaDB, MySQL, and MS SQL but also offers connectivity through command line, SSH tunnels, or SSL settings. Users can perform a wide range of actions, including editing tables, views, stored procedures, triggers, and scheduled events, as well as creating elegant SQL exports that can be compressed or copied directly to the clipboard. Moreover, exporting data can be done seamlessly from one server or database to another, and the tool offers functionality for managing user privileges, importing text files, and exporting table rows in various formats such as CSV, HTML, XML, SQL, LaTeX, Wiki Markup, and PHP Array. With a user-friendly grid interface, HeidiSQL facilitates effortless browsing and editing of table data, making database management intuitive and efficient. Overall, the versatility and robust features of HeidiSQL make it an indispensable tool for database administrators and developers alike.

Navicat Data Modeler is a cost-effective and powerful solution for database design that allows users to craft high-quality conceptual, logical, and physical data models. It features a user-friendly visual interface for structuring databases, supports both reverse and forward engineering, and enables users to import models from ODBC data sources, all while generating complex SQL/DDL statements and offering printing capabilities for models. This tool greatly streamlines the creation of intricate entity relationship models, allowing users to produce SQL scripts effortlessly with a single click. It is compatible with numerous database systems, including MySQL, MariaDB, Oracle, SQL Server, PostgreSQL, and SQLite, providing a platform for creating, modifying, and designing models with specialized object designers for Tables and Views. Users can efficiently manage their projects without the necessity of writing complex SQL for object manipulation, ensuring their tasks are clear and organized. Additionally, Navicat Data Modeler supports three standard notations—Crow’s Foot, IDEF1x, and UML—making it adaptable to various design styles. Its extensive features not only enhance the user experience but also establish it as an essential resource for database designers at all levels of expertise, ensuring that both newcomers and seasoned professionals can benefit from its capabilities. Whether for individual projects or collaborative efforts, this tool promotes efficiency and clarity in database design.

Enables quicker and simpler creation and modification of databases, enhancing the efficiency of routine database operations. The software is compatible with a wide range of operating systems and database types under one license. Users can implement changes through generated scripts and leverage ER diagrams to model, analyze, and communicate their designs effectively. Furthermore, it features rapid reverse engineering capabilities that allow databases to be transformed into the designer interface in a matter of seconds. Our primary goal is to develop functionalities that boost the productivity of database developers during the design phase. Through thorough testing and ongoing release cycles, we strive to deliver a reliable product for our users. DbWrench is designed to work seamlessly on Windows, Mac OS X, and Linux, all encompassed by a single license, and it is compatible with today's most popular database systems. Users can directly modify database components within the diagram, removing the necessity to navigate through tree nodes and property sheets for edits. Additionally, it provides various ER notation formats, such as Bachman, Barker, and Information Engineering, catering to diverse user preferences. This versatility guarantees that users have the essential tools required to efficiently create effective database designs while also ensuring a smooth user experience. The combination of these features sets a strong foundation for both novice and experienced developers to excel in their database management tasks.

Effortlessly design and modify database models with an intuitive interface that streamlines the entire process. The forms are designed to clearly show which fields are essential for generating accurate SQL code. Users have the freedom to access, modify, and distribute the source code at no charge. This initiative includes a public repository that provides complete access and the capacity to fork the code, allowing developers to create personalized adaptations based on the initial version. Utilizing the Qt framework, pgModeler is compatible with Windows, Linux, and macOS, and its build scripts can be easily modified to meet the specific dependencies of each operating system. You can create a model once and seamlessly export it across different versions. Thanks to its advanced code generation features, pgModeler allows exports to various PostgreSQL versions, from 9.x to 13.x. Should you discover any missing functionalities, the plug-in development interface enables you to design custom extensions for pgModeler without modifying the core code. Additionally, this adaptability empowers developers to refine their database modeling approach and customize it according to their unique requirements. With its open-source nature, pgModeler fosters a collaborative environment that encourages innovation and continuous improvement among users.

Leverage DeZign for Databases to gain insight into and visualize your database architectures, whether you are creating new databases or transforming existing ones for improvements, documentation, assessment, and optimization. This intuitive data modeling application is designed for both developers and database administrators, allowing for effective modeling, development, and upkeep of databases. By utilizing entity relationship diagrams (ERDs), the software offers a visual method for database architecture while automatically creating schemas compatible with popular database platforms such as Oracle, MS SQL, MySQL, and PostgreSQL. DeZign for Databases presents a sophisticated visual framework that simplifies the database creation process, significantly reducing the likelihood of errors and boosting overall efficiency. With this tool, users can easily visualize intricate database designs, leading to a more effective database management experience. Additionally, it empowers users to enhance their database strategies, ensuring superior performance and reliability in their data operations. Ultimately, this results in a more streamlined workflow that can adapt to the evolving needs of any organization.

Hackolade stands at the forefront of data modeling for NoSQL and multi-model databases, offering an extensive array of tools suitable for a wide range of NoSQL databases and APIs. As the sole data modeling solution for platforms such as MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, and others, Hackolade clearly dominates the market. Additionally, it extends its visual modeling capabilities to Avro, JSON Schema, Parquet, Protobuf, Swagger, and OpenAPI, and is continuously expanding its offerings for its physical data modeling engine. Designed with user-friendliness in mind, the software combines simplicity with powerful visualizations, facilitating the adoption of NoSQL technology for users. Its tools empower functional analysts, designers, architects, and DBAs working with NoSQL technology to achieve enhanced transparency and control, which ultimately leads to shorter development cycles, improved application quality, and diminished risks in execution throughout the organization. Furthermore, Hackolade's commitment to innovation ensures that users stay ahead in the rapidly evolving landscape of data management.

Luna Modeler is a user-friendly tool designed for data modeling across various popular databases. It allows users to create, visualize, and design database structures while also generating SQL scripts and interactive documentation efficiently. Whether you're an experienced professional or just starting out, Luna Modeler streamlines the data modeling process, making it accessible for everyone. The software is compatible with a range of platforms, including Oracle Database, SQL Server, PostgreSQL, MySQL, MariaDB, and SQLite, ensuring broad usability. Notable features include comprehensive database modeling and design capabilities, reverse engineering options for several database types, the ability to import data from SQLite files, and support for secure connections via SSH, SSL, and TLS. Additionally, it generates interactive HTML reports and SQL scripts, keeps projects updated, offers a variety of themes and styles for reports, provides multiple display modes, supports sub-diagrams, and can create alter scripts for a selection of database platforms, making it a versatile choice for data professionals.

ERDPlus is a web-based application designed for database modeling that simplifies the development of entity relationship diagrams, relational schemas, star schemas, and SQL DDL statements. This user-friendly platform allows individuals to quickly create Entity Relationship Diagrams (ERDs) with ease. It supports a range of contemporary relational database management systems, including Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Teradata, IBM DB2, Microsoft Access, and more. The tool's notation system effectively captures both regular and weak entities, while also accommodating a variety of attribute types such as unique, multi-valued, derived, composite, and optional attributes, along with all cardinality constraints for relationships, which encompass both mandatory and optional associations. Moreover, ERDPlus simplifies the process of establishing foreign keys and maintaining referential integrity through intuitive click-and-connect features, enhancing the development of relational schemas. The notation also improves visualization by distinguishing between fact tables and dimension tables, using a thicker border around fact tables to facilitate better comprehension of database structures. In addition, the platform's versatility and ease of use make it an indispensable resource for database designers aiming for both efficiency and accuracy in their projects. Ultimately, ERDPlus proves to be an essential tool for anyone involved in database design and management.

5X is an all-in-one data platform that provides users with powerful tools for centralizing, cleansing, modeling, and effectively analyzing their data. The platform is designed to enhance data management processes by allowing seamless integration with over 500 data sources, ensuring efficient data flow across all systems through both pre-built and custom connectors. Covering ingestion, warehousing, modeling, orchestration, and business intelligence, 5X boasts an intuitive interface that simplifies intricate tasks. It supports various data movements from SaaS applications, databases, ERPs, and files, securely and automatically transferring data to data warehouses and lakes. With its robust enterprise-grade security features, 5X encrypts data at the source while also identifying personally identifiable information and implementing column-level encryption for added protection. Aimed at reducing the total cost of ownership by 30% when compared to custom-built solutions, the platform significantly enhances productivity by offering a unified interface for creating end-to-end data pipelines. Moreover, 5X empowers organizations to prioritize insights over the complexities of data management, effectively nurturing a data-centric culture within enterprises. This emphasis on efficiency and security allows teams to allocate more time to strategic decision-making rather than getting bogged down in technical challenges.

Xplenty serves as a flexible software tool for data integration and delivery, aiming to support small to medium enterprises as well as larger corporations by enabling the preparation and migration of data to the cloud for analysis. Among its notable features are data transformation capabilities, a user-friendly drag-and-drop interface, and smooth integration with over 100 data storage solutions and SaaS applications. Developers find it easy to weave Xplenty into their current data solution frameworks. Moreover, the platform allows users to schedule various tasks while efficiently monitoring their progress and status. This comprehensive functionality positions Xplenty as a powerful ally for users looking to streamline their data workflows and improve their analytical operations, ultimately driving better business insights. Additionally, the platform's adaptability makes it suitable for various industries, allowing organizations to tailor their data processes to meet specific needs.

We simplify and enhance the efficiency of Business Intelligence (BI) and Big Data analytics. Our aim is to equip business users and BI specialists, as well as busy professionals, to work independently when tackling data-centric challenges. Querona serves as a solution for anyone who has experienced the frustration of insufficient data, slow report generation, or long wait times for BI assistance. With an integrated Big Data engine capable of managing ever-growing data volumes, Querona allows for the storage and pre-calculation of repeatable queries. The platform also intelligently suggests query optimizations, facilitating easier enhancements. By providing self-service capabilities, Querona empowers data scientists and business analysts to swiftly create and prototype data models, incorporate new data sources, fine-tune queries, and explore raw data. This advancement means reduced reliance on IT teams. Additionally, users can access real-time data from any storage location, and Querona has the ability to cache data when databases are too busy for live queries, ensuring seamless access to critical information at all times. Ultimately, Querona transforms data processing into a more agile and user-friendly experience.

By importing your SQL script, the automatic generation of a database model is enabled, allowing for easy modifications and the creation of new SQL and Alter scripts. This process enhances transparency in collaborative efforts with various teams, including Database Developers, Project Managers, and Analysts. You will retain oversight of your project's versions while effortlessly generating necessary alter scripts. Moreover, with just a single click, you can transform your project into different database or data warehouse types. Incorporating your existing database or data warehouse into SqlDBM provides a powerful visualization of your database model, making it easier to implement changes and produce new SQL scripts that include Alter scripts. You also have the option to create comprehensive specifications by incorporating images of your schema for improved clarity. This extensive functionality guarantees that all members of the team remain aligned and well-informed throughout the entire project lifecycle. Ultimately, this approach not only streamlines your workflow but also fosters effective communication and collaboration among all stakeholders involved in the project.

Count serves as a collaborative data whiteboard that enables users to interact fully. It merges the inventive capabilities of a traditional whiteboard with the analytical prowess of BI Notebooks. Users can simplify intricate SQL queries and data models into linked cells, enhancing comprehension of the underlying logic. Incorporating sticky notes and visuals can assist stakeholders in grasping the concepts of your work. As you develop your project, collaboration with fellow analysts or stakeholders allows for quicker feedback. Additionally, any canvas can be transformed into a dynamic slideshow or interactive report, providing versatile presentation options. This tool not only fosters collaboration but also streamlines the data analysis process for improved outcomes.

Data models form the core of Astera DW Builder, acting as the essential groundwork for various processes including the creation of ETL mappings, the population of fact and dimension tables, data access through the OData module, and managing changes post-deployment. These models ensure that all components work harmoniously, facilitating a seamless flow of data throughout the entire system.

Visualize and understand the intricate structures of database architectures while appreciating their interconnected nature. Create detailed logical and physical data models with accuracy and expertise. Reverse engineer existing database systems to depict them visually through diagrams. Generate thorough reports in formats such as HTML, RTF, or PDF, ensuring clear documentation. Construct high-quality database designs or implement alterations to current models automatically, providing essential documentation across multiple platforms. Develop complex logical and physical entity-relationship models, enabling seamless reverse and forward engineering of databases. Connect to a variety of databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Ensure that models remain synchronized with existing databases via Change Script Generations and Update Model features. Effortlessly transition data architectures between different database platforms, facilitating business migration processes. Furthermore, produce extensive hyperlinked reports that outline existing database structures in diverse formats, significantly improving accessibility and usability. This holistic methodology guarantees an in-depth understanding and effective management of database systems, fostering a streamlined approach to data handling and organization.

RestApp is an innovative No Code Data Activation Platform that offers a comprehensive solution for anyone looking to connect, model, and synchronize their data seamlessly with preferred tools. With RestApp, Data and Operations teams can activate their data in just a few minutes without any coding expertise by easily integrating with various databases and business applications. Users can utilize drag-and-drop features to implement SQL, NoSQL, and Python functions for data modeling, as well as create and collaborate on queries with team members. Furthermore, RestApp ensures that your data is automatically synchronized with the tools you use for optimal efficiency. The platform also simplifies the process of utilizing templates to compute essential financial KPIs such as churn rate, MRR, ARR, ACV, ARPU, and LTV, while facilitating customer lead scoring and generating automatic cohort analyses for in-depth insights. This holistic approach empowers teams to make data-driven decisions quickly and effectively.

ER/Studio Enterprise Team Edition empowers data modelers and architects to collaboratively share data models and metadata across the entire organization. This comprehensive tool facilitates effective enterprise architecture and robust data governance practices. Additionally, it enhances communication among teams, ensuring that everyone has access to the most current information.

MySQL Workbench is a comprehensive visual platform tailored for database architects, developers, and administrators alike. It includes a variety of features for data modeling, SQL development, and a multitude of administrative tasks, such as configuring servers, managing users, and implementing backup strategies. Available on Windows, Linux, and Mac OS X, MySQL Workbench empowers users to efficiently design and oversee databases. The tool equips data modelers with the necessary resources to construct complex ER models and supports both forward and reverse engineering techniques. It also incorporates vital functionalities for tracking changes and documentation, which can often be resource-intensive and time-consuming. With its visual tools, users can build, execute, and optimize SQL queries, significantly boosting productivity. The SQL Editor comes with advanced features like syntax highlighting, auto-completion, the option to reuse SQL snippets, and a history of executed SQL commands for convenient reference. Additionally, the Database Connections Panel simplifies the management of database connections, ensuring a seamless experience for developers of all skill levels. Overall, MySQL Workbench stands out as a vital resource for anyone involved in database management and development.