Best Data Modeling Tools for Microsoft Azure
View:
Compare the Top Data Modeling Tools that integrate with Microsoft Azure as of June 2025
Sort By:
This a list of Data Modeling tools that integrate with Microsoft Azure. Use the filters on the left to add additional filters for products that have integrations with Microsoft Azure. View the products that work with Microsoft Azure in the table below.
What are Data Modeling Tools for Microsoft Azure?
Data modeling tools are software tools that help organizations design, visualize, and manage data structures, relationships, and flows within databases and data systems. These tools enable data architects and engineers to create conceptual, logical, and physical data models that ensure data is organized in a way that is efficient, scalable, and aligned with business needs. Data modeling tools also provide features for defining data attributes, establishing relationships between entities, and ensuring data integrity through constraints. By automating aspects of the design and validation process, these tools help prevent errors and inconsistencies in database structures. They are essential for businesses that need to manage complex datasets and maintain data consistency across multiple platforms. Compare and read user reviews of the best Data Modeling tools for Microsoft Azure currently available using the table below. This list is updated regularly.
-
1
AnalyticsCreator
AnalyticsCreator
Design and deploy sophisticated data models faster with AnalyticsCreator’s automated tools. The streamlined workflows, improve stakeholder communication and ensure adherence to best practices. Support various modeling techniques, including medallion, dimensional, data mart, data vault, and hybrid approaches, ensuring flexibility for any project. Generate accurate, high-quality code for platforms like Azure Synapse, Power BI, and Tableau. Engage stakeholders with clear, visual modeling tools and comprehensive documentation, fostering better collaboration and decision-making throughout the data modeling lifecycle. -
2
Kubit
Kubit
Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai. -
3
Lucidchart
Lucid Software
Lucidchart is an advanced diagramming tool designed to help businesses and teams optimize their processes, systems, and workflows with intelligent, data-driven diagrams. The platform combines powerful AI features, such as AI-generated diagrams, data linking, and real-time collaboration, to make visualizing complex systems and architectures faster and more efficient. Lucidchart supports multiple use cases, including process maps, flowcharts, technical diagrams, organizational charts, and systems planning. Its seamless integrations with popular apps like Jira, Confluence, Slack, and Teams allow for enhanced collaboration, enabling teams to align on priorities and act on insights quickly. Lucidchart is the perfect tool for anyone looking to create professional diagrams in less time, while fostering better decision-making and innovation.Starting Price: $7.95/month/user -
4
DeZign for Databases
Datanamic
Visualize database structures to understand your database, create new databases or reverse-engineer existing databases to modify, document, analyze, and optimize. DeZign for Databases is an intuitive data modeling tool for developers and DBA's that can help you model, create and maintain databases. The software uses entity relationship diagrams (ERDs, data models) to graphically design databases and automatically generates the most popular databases (Oracle, MS SQL, MySQL, PostgreSQL, etc.) DeZign for Databases offers a sophisticated visual data modeling environment for database development that makes your database development process much easier. The tool reduces faults in database development and improves your productivity. You can visualize database structures to understand your database, create new databases or reverse-engineer existing databases to modify, document, analyze, and optimize.Starting Price: €19 per month -
5
Xplenty
Xplenty Data Integration
Xplenty, a scalable data integration and delivery software, allows SMBs and large enterprises to prepare and transfer data for analytics to the cloud. Xplenty features include data transformations, drag-and-drop interface, and integration with over 100 data stores and SaaS applications. Xplenty can be added by developers to their data solution stack with ease. Xplenty also allows users to schedule jobs and monitor job progress and status. -
6
Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
7
Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
8
ZinkML
ZinkML Technologies
ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.
- Previous
- You're on page 1
- Next