Best Data Modeling Tools for Freelancers

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Lucidchart is a comprehensive visual collaboration platform that empowers teams to create intelligent, data-driven diagrams for process mapping, team planning, systems architecture, and more. With features like AI-powered diagram generation, real-time collaboration, and data integration, Lucidchart helps users quickly visualize their systems and workflows with ease. Whether you’re building technical diagrams or mapping out complex organizational structures, Lucidchart streamlines the process, saving you time and improving clarity. It integrates with a variety of popular tools such as Jira, Slack, Confluence, and Notion, making it an invaluable tool for enhancing teamwork, driving decisions, and accelerating innovation across your organization.

Introducing a versatile and free database management tool designed for developers, database administrators, analysts, and anyone who engages with databases. It offers compatibility with a wide range of popular databases, including MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, among others. Recent updates include a new format configuration editor for the "Copy As" feature, enhanced performance through additional configurations in the filter dialog, and the ability to sort by column with fixed settings for smaller fetch sizes. Users can now benefit from case-insensitive filters, while the plaintext view has been improved by incorporating top and bottom dividers. Furthermore, the data editor has been rectified to address issues arising from column name conflicts with alias names, and the command for duplicating rows has been fixed for cases involving multiple selections. The context menu has been updated to include the edit sub-menu once again, and auto-sizing configurations for columns have been introduced. Additionally, the dictionary viewer has been corrected for use with read-only connections, and new features support current and selected row highlighting, which can be customized according to user preferences. This tool continues to evolve, ensuring that users have the best possible experience while working with their database management tasks.

JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations. The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively. Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.

IBM® Engineering Systems Design Rhapsody® (also known as Rational Rhapsody) and its suite of tools provide an effective approach to modeling and systems design, helping organizations navigate the complexities of product and system development. As a component of the IBM Engineering portfolio, Rhapsody fosters a collaborative environment for systems engineers, accommodating various modeling standards like UML, SysML, UAF, and AUTOSAR. Additionally, it supports the management of defense frameworks, including DoDAF, MODAF, and UPDM, while facilitating compliance with critical industry standards such as DO-178, DO-178B/C, and ISO 26262. The platform enables rapid simulation and prototyping, allowing for continuous validation and the early detection of errors when they are more affordable to rectify. By employing automatic consistency checks, Rhapsody enhances agility and promotes reuse, ultimately contributing to a reduction in both recurring and non-recurring expenses. This comprehensive toolset not only streamlines the design process but also empowers teams to innovate more effectively.

ER/Studio Data Architect is an enterprise data modeling solution that helps organizations design, document, and manage data architecture across modern platforms. It enables data architects and database professionals to create conceptual, logical, and physical data models that connect business meaning with technical implementation. By defining entities, relationships, and standards before systems are built, ER/Studio helps ensure consistent definitions, accurate reporting, and reliable analytics. A core capability of ER/Studio Data Architect is logical data modeling, which defines business concepts independently of technology. Logical models act as a semantic foundation for the organization, helping teams align on the meaning of key entities such as customers, products, and transactions. This approach reduces ambiguity, prevents semantic drift across systems, and improves the reliability of analytics and AI initiatives. The platform provides powerful forward and reverse engineering capabilities. Architects can generate database schemas from models or reverse engineer existing databases to document and analyze current structures. Schema compare and merge tools detect differences between versions and generate scripts to apply updates efficiently. ER/Studio Data Architect supports major platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON-based systems. Automation features such as macros, data lineage, and impact analysis help teams understand dependencies and reduce manual work. The platform also includes ERbert, an AI-powered data modeling assistant that can generate logical models from natural language prompts, accelerating model creation while maintaining structured data architecture.

ER/Studio is an enterprise data modeling and architecture solution that helps organizations structure, align, and govern data across complex, distributed environments, including data warehouses, lakehouses, data mesh frameworks, and data vault architectures. It bridges business intent and technical execution through integrated conceptual, logical, and physical modeling, enabling teams to move from strategy to implementation with clarity and control. The result is a consistent architectural foundation that supports analytics, AI initiatives, modernization, regulatory requirements, and operational systems. Collaboration is built into the platform through a centralized, multi-user repository and the web-based Team Server portal. The repository manages version control, role-based permissions, and parallel development so teams can work concurrently while preserving model integrity and full audit history. Team Server extends visibility beyond architects, allowing business and technical stakeholders to review models, explore definitions, and contribute feedback through a browser interface. ER/Studio reinforces governance by embedding standardized definitions, business glossaries, and data dictionaries directly within technical models. Impact analysis provides insight into downstream dependencies before changes are implemented, helping reduce risk and improve coordination. Integrations with Microsoft Purview and Collibra extend metadata into broader governance ecosystems, strengthening lineage tracking, documentation accuracy, and compliance oversight. Available in Standard, Professional, and Enterprise editions, ER/Studio scales from focused modeling teams to enterprise-wide data architecture programs with advanced collaboration and governance requirements.

Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.

TADA by MyDataModels offers a top-tier predictive analytics solution that enables professionals to leverage their Small Data for business improvement through a user-friendly and easily deployable tool. With TADA, users can quickly develop predictive models that deliver actionable insights in a fraction of the time, transforming what once took days into mere hours thanks to an automated data preparation process that reduces time by 40%. This platform empowers individuals to extract valuable outcomes from their data without the need for programming expertise or advanced machine learning knowledge. By utilizing intuitive and transparent models composed of straightforward formulas, users can efficiently optimize their time and turn raw data into meaningful insights effortlessly across various platforms. The complexity of predictive model construction is significantly diminished as TADA automates the generative machine learning process, making it as simple as inputting data to receive a model output. Moreover, TADA allows for the creation and execution of machine learning models on a wide range of devices and platforms, ensuring accessibility through its robust web-based pre-processing capabilities, thereby enhancing operational efficiency and decision-making.

ERBuilder Data Modeler, a GUI data modeling tool, allows developers to visualize, design and model databases using entity relationship diagrams. It automatically generates the most common SQL databases. Share the data model documentation with your team. You can optimize your data model with advanced features like schema comparison, schema synchronization, and test data generation.

Navicat Data Modeler is an efficient and budget-friendly tool for database design that enables users to create high-quality conceptual, logical, and physical data models. It provides a visual interface for designing database structures, facilitates both reverse and forward engineering, allows for the importation of models from ODBC data sources, and can generate intricate SQL/DDL statements while offering the ability to print models. This tool simplifies the process of developing complex entity relationship models, enabling users to generate SQL scripts with just a click. Supporting a variety of database systems such as MySQL, MariaDB, Oracle, SQL Server, PostgreSQL, and SQLite, it allows for the creation, modification, and design of models through professional object designers tailored for Tables and Views. Users can manage their tasks effectively without the need to write intricate SQL for object creation and editing, providing clarity on their work. Furthermore, Navicat Data Modeler accommodates three standard notations, including Crow’s Foot, IDEF1x, and UML, making it versatile for different design preferences. With its comprehensive features, it stands out as an indispensable tool for both novice and experienced database designers.

Utilize DeZign for Databases to visualize and comprehend your database structures, whether you're building new databases or reverse-engineering current ones for the purpose of modification, documentation, analysis, and optimization. This user-friendly data modeling tool caters to both developers and DBAs, enabling efficient modeling, creation, and maintenance of databases. Through the use of entity relationship diagrams (ERDs), the software facilitates a graphical approach to database design while automatically generating schemas for widely-used database systems like Oracle, MS SQL, MySQL, and PostgreSQL. DeZign for Databases provides an advanced visual environment that streamlines the database development process, significantly minimizing errors and enhancing overall productivity. By employing this tool, you can effortlessly visualize complex database structures and ensure a more effective database management experience. It ultimately empowers users to refine their database strategies and achieve optimal performance.

Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits. Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in. Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic. With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users. Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support. Discover the future of customer analytics at kubit.ai

Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

In minutes, create and automate visual marketing reports. To simplify reporting and assessment, you can now access all your channel marketing analytics, including SEO, PPC, SEO and social media. You can forget about manual work and human errors! Whatagraph's reports can be used in a fun and easy way. Even your junior colleagues will be able to understand and create multi-source reports quickly. The amount of digital marketing data that you have is growing rapidly. Keep up-to-date with the latest performance in an engaging manner. Whatagraph makes it easy for clients and teams to understand marketing performance and take action when it matters. You can set up automated reports that reach your clients' email at the times you choose. You can customize reports with your logo and color schemes, and send them from your domain. Report data for multiple campaigns with different dates and sources.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Amazon QuickSight empowers individuals within organizations to gain insights from their data by posing questions in everyday language, navigating through dynamic dashboards, or utilizing machine learning to identify trends and anomalies. It facilitates millions of dashboard interactions each week for notable clients such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western, and Comcast, enabling their users to make informed, data-driven choices. By engaging in conversational inquiries about your data, you can utilize Q's machine learning capabilities to generate pertinent visualizations without the need for extensive data preparation by authors and administrators. This platform also enables the discovery of concealed insights, accurate forecasting, and scenario analysis, while providing the option to enrich dashboards with clear, natural language narratives, all made possible by AWS's machine learning expertise. Additionally, users can seamlessly incorporate interactive visualizations, advanced dashboard design features, and natural language querying capabilities into their applications, streamlining the process of data analysis across various platforms. Thus, QuickSight not only enhances the way organizations interact with their data but also simplifies the journey of transforming raw information into actionable insights.

Utilize the most effective modeling strategies tailored to meet your business requirements. Gain the advantage of a support system that fosters collaboration among individuals with diverse expertise, complemented by dedicated methodological assistance. Customize the platform to fit your organization's specific needs, including its participants, roles, expertise, projects, and federated entities. Maintain your knowledge in a structured and standardized repository that brings together all models and documentation. Automatically disseminate information through web portals or keep documents up to date for easy access. Establish a shared language suitable for each stakeholder involved. Effectively organize and oversee the repository for optimal performance. Access software that can scale with the fluctuations in project demands and team sizes. Ensure that your solution is available to teams, regardless of their physical location. Benefit from continuous support, addressing both material and functional aspects, to facilitate smooth operations. This comprehensive approach not only enhances efficiency but also promotes a culture of collaboration and innovation within your organization.

Count is an interactive data whiteboard that allows for full collaboration. It combines the flexibility and creativity that a whiteboard offers with the power and reactivity of BI Notebooks. It is easy to break down complex SQL queries and data model into interconnected cells for better understanding the logic. Use sticky notes and graphics to help stakeholders understand your work. As you build, you can collaborate with other analysts or stakeholders to get faster feedback. Turn any canvas into a slideshow or interactive report.

Oracle SQL Developer Data Modeler is a complimentary graphical application designed to boost efficiency and streamline the process of data modeling. With this tool, users can effortlessly create, navigate, and modify various models, including logical, relational, physical, multi-dimensional, and data type models. The Data Modeler also offers capabilities for both forward and reverse engineering, while facilitating collaborative efforts through built-in source code management. It is versatile enough to be utilized in traditional setups as well as cloud-based environments. As part of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler stands out as a comprehensive, independent product featuring a wide array of data and database modeling tools and utilities. Additional resources, including a general FAQ and other relevant materials, can be found on the Data Modeler homepage. This document aims to address some of the pricing-related inquiries that have emerged within the community, providing helpful insights for users navigating these questions.

DTM Data Modeler serves as a CASE tool designed for database developers, facilitating both forward and reverse engineering processes. This user-friendly application allows for the manipulation of both logical and physical data models, visualized through entity-relationship diagrams. Aimed at database architects and developers, it connects seamlessly with data sources through the ODBC interface, ensuring compatibility with contemporary database management systems. In addition to managing fundamental model properties, such as entities and their interrelationships, the software enables the creation of indexes and triggers at the physical level that align with the modeled database tables. The feature for foreign key migration enhances schema development by providing a more intuitive and visual approach, while also minimizing the risk of integrity errors within the model. Furthermore, users can generate database schema objects directly in the database or produce SQL scripts that reflect the model and adhere to custom user-defined settings, making the entire process more efficient and streamlined. Overall, DTM Data Modeler equips developers with a robust set of tools for effective database design and management.

Visualize and comprehend database architectures while recognizing their interconnections. Develop robust logical and physical data models with precision. Reverse engineer current database frameworks to represent them visually in diagrams. Produce comprehensive reports in formats such as HTML, RTF, or PDF. Efficiently construct quality database designs or implement modifications to existing models automatically, supplying documentation across various platforms. Create intricate logical and physical entity-relationship models and facilitate both reverse and forward engineering of databases seamlessly. Connect to numerous databases natively and concurrently, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Maintain synchronization between models and existing databases through Change Script Generations and the Update Model functionalities. Effortlessly convert data architectures from one database platform to another, aiding in business migration efforts. Additionally, generate extensive hyperlinked reports detailing existing database structures in various formats, enhancing accessibility and usability. This comprehensive approach ensures a well-rounded understanding and efficient management of database systems.

Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.