Best Data Modeling Tools for Cloud - Page 2
View:
Compare the Top Data Modeling Tools for Cloud as of July 2025 - Page 2
Sort By:
-
1
Count
Count
Count is a fully collaborative and reactive data whiteboard. It brings together all the flexibility and creativity of a whiteboard, with the power of a SQL IDE, and the reactivity of BI notebooks. It makes it easy to break apart complex SQL queries and data models into interconnected cells to better understand the logic. Add sticky notes and visuals to help explain your work to stakeholders. Collaborate with other analysts or stakeholders as you build so you can get feedback faster. Turn any canvas into an interactive report or slideshow presentation.Starting Price: $34 per editor per month -
2
Astera DW Builder
Astera Software
In Astera DW Builder, data models are the centerpiece of the entire data warehousing process, serving as the foundation for all the subsequent processes, such as ETL mappings, dimension and fact tables population, data consumption through the built-in OData module, and even for change management after deployment. -
3
Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments. Oracle SQL Developer Data Modeler is one of the database tools in the Oracle Database Tools group. It is an independent, standalone product with a full spectrum of data and database modeling tools and utilities. There is a general FAQ and other supporting collateral on the Data Modeler home page. This document is to provide some guidance to the pricing-related questions arising in the community.
-
4
Toad Data Modeler
Quest
Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF. -
5
Integrate analytics into real-time interactions and event-based capabilities. SAS Visual Data Science Decisioning features robust data management, visualization, advanced analytics and model management. It supports decisions by creating, embedding and governing analytically driven decision flows at scale in real-time or batch. It also deploys analytics and decisions in the stream to help you discover insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle. SAS Visual Data Mining and Machine Learning, which runs in SAS® Viya®, combines data wrangling, exploration, feature engineering, and modern statistical, data mining, and machine learning techniques in a single, scalable in-memory processing environment. Access data files, libraries and existing programs, or write new ones, with this developmental web application accessible through your browser.
-
6
RestApp
RestApp
RestApp is a No Code Data Activation platform that empowers anyone with an all-in-one solution to connect, model, and sync any data with his favorite tools. RestApp enables Data & Ops teams to activate data in minutes with No-Code by: - Connecting with your favorite databases and business apps - Modeling your data with drag-and-drop SQL, NoSQL and Python functions and then easily creating and sharing your queries with your teammates - Syncing automatically your data with your tools. With RestApp, you are notably able by using our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Computing your customers’ lead scoring - Generate automatic cohort analysisStarting Price: Free -
7
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. -
8
GibsonAI
GibsonAI
GibsonAI is an innovative AI-powered database engineer that revolutionizes the entire database lifecycle by automating everything from design to deployment. With a simple conversation in plain English, users can instantly generate complete database solutions including entity-relationship diagrams, optimized schemas, fully deployed hosted databases, live CRUD APIs, and comprehensive documentation—all without writing SQL or managing DevOps. The platform enables effortless modifications through natural language commands, eliminating manual migrations and downtime, making it ideal for developers seeking to accelerate development, startups launching scalable applications, and enterprise teams streamlining database engineering and maintenance.Starting Price: $20/month -
9
erwin Data Modeler
Quest Software
Make enterprise data more manageable and accessible with erwin Data Modeler. The most trusted data modeling software, erwin Data Modeler is used by the world's top brands to create a unified view of any data from anywhere to increase its use, understanding and trust across the organization. erwin Data Modeler is available in three editions: Standard, Workgroup, and Navigator. -
10
Salesforce Marketing Cloud Intelligence
Salesforce
Optimize spend and customer engagement with unified performance data, automated reporting, and cost-saving AI insights. Create an active analysis system. Produce new insights with a connected library of more than 170 connectors for intaking data from every major advertising, commerce, CRM, and database vendor. Make your IT team more efficient with always-on updated connector maintenance and turnkey installation — where you can simply enter your credentials and start unifying your cross-channel marketing performance in minutes. Reporting and dashboards tell the big picture story. But what about actionable insights? With Einstein, you can select a KPI you want to improve and create an always-on pipeline of AI insights. You can answer big-picture questions like how to reduce spend by lowering your CPM or go deeper to see what creative had the largest outlier effects in a recent campaign. Einstein looks at all your data, ranking insights on what’s driving the most engagement. -
11
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. -
12
Visual Paradigm
Visual Paradigm
An online editor that provides content creators with charts, data widgets, and maps to visualize data while providing information, tables, and spreadsheet tools to increase productivity. Visual Paradigm supports a powerful API that allows you to add custom functionality by writing plug-ins. In version 17.0, project teams can manage the roll-out of plug-in by using Visual Paradigm Server. The Enterprise Model Finder allows you to find model elements from within team projects quickly. Version 17.0 comes with a number of major changes that make the searching of data faster and the result easier to understand. Unlike starting a project from scratch, a project template gives you the initial data you need to get started. Depending on the nature of your projects, your project templates could include corporate workflows, guidelines, glossary, and more. A project template simply allows you to get a head start on your work. -
13
Prisma
Prisma.io
Building the data layer for modern applications. Prisma replaces traditional ORMs. Simplified & type-safe database access. Declarative migrations & data modeling. Powerful & visual data management. Auto-generated and type-safe database client. Prisma client simplifies database access. It lets you read and write data to your database using your favorite programming language. Prisma makes it easy to implement GraphQL servers. Learn how to use the Prisma client to access your database inside your resolvers. -
14
Anzo
Cambridge Semantics
Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand. -
15
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
16
MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
17
Build a blueprint of your current enterprise architecture and visualize the impact of change before it happens with SAP PowerDesigner software. With capabilities such as data modeling, link and sync, and metadata management, you can immediately capture architecture layers and requirements, tap into a powerful metadata repository, and share discoveries with your team. Create tight connections between your company’s unique requirements, language, and data models by using link-and-sync technology. Help developers and enterprise architects exchange information through a secure metadata repository that supports all modeling types. Simplify the lives of your users and IT staff with a flexible, wizard-driven system for documentation and Web-based reporting.
-
18
A data design solution that enables you to discover, model, relate, standardize and integrate diverse and distributed data assets throughout the enterprise. IBM InfoSphere® Data Architect is a collaborative enterprise data modeling and design solution that can simplify and accelerate integration design for business intelligence, master data management and service-oriented architecture initiatives. InfoSphere Data Architect enables you to work with users at every step of the data design process, from project management to application design to data design. The tool helps to align processes, services, applications and data architectures. Simple warehouse design, dimensional modeling and change management tasks help reduce development time and give you the tools to design and manage warehouses from an enterprise logical model. Time stamped, column-organized tables offer a better understanding of data assets to help increase efficiency and reduce time to market.
-
19
Visible Systems
Visible Systems
Looking for searchable solutions in a pile of unstructured data is like looking for a needle in a haystack. Our technicians are trained to spot hidden trends and patterns in that tangled web. Through this process, we will gather, catalogue, annotate, and combine it into an understandable and user-friendly format to streamline critical decisions. This allows us to create results that unlock actionable insights for business growth. At Visible Systems, we understand that traditional data analysis tools are only designed to analyze data that is in a specific format. However, most data is formless since it is sourced from different locations. Using data discovery, we can aggregate and format it from various sources to streamline analysis. This results in data that is in the right format, which can ensure timely deliverables. We realize that data discovery is a continuous process and old data is as valuable as fresh data. -
20
MagicDraw
Dassault Systèmes
MagicDraw supports the UML 2 metamodel, the latest XMI standard for data storage and the most popular programming languages for implementation. Unlike other UML modeling and architecture environments, MagicDraw makes it easy for you to deploy a Software Development Life Cycle (SDLC) environment that best suits the needs of your business. Our approach to standards and our Open API makes it easy for you to integrate with applications that work together, best supporting the needs of your business. We integrate with many leading products: IDEs, requirements, testing, estimation, MDD, database, and others. MagicDraw provides independence from any specific software development process, conforming nicely to your company process; allowing centralization of business and process modeling, requirements capture and design. MagicDraw is not tied to any one phase of your project. -
21
Eclipse Papyrus
Eclipse Foundation
To address any specific domain, every part of Eclipse Papyrus may be customized: UML profile, model explorer, diagram notation and style, properties views, palette and creation menus, and much more. Eclipse Papyrus enables model-based techniques: model-based simulation, model-based formal testing, safety analysis, performance/trade-offs analysis, architecture exploration. Eclipse Papyrus is an industrial-grade open source Model-Based Engineering tool. Eclipse Papyrus has notably been used successfuly in industrial projects and is the base platform for several industrial modeling tools. Eclipse Papyrus provides also a complete support to SysML in order to enable model-based system engineering. All the modeling features of Eclipse Papyrus are designed to be customizable and to maximize reuse. -
22
An industry data model from IBM acts as a blueprint with common elements based on best practices, government regulations and the complex data and analytic needs of the industry. A model can help you manage data warehouses and data lakes to gather deeper insights for better decisions. The models include warehouse design models, business terminology and business intelligence templates in a predesigned framework for an industry-specific organization to accelerate your analytics journey. Analyze and design functional requirements faster using industry-specific information infrastructures. Create and rationalize data warehouses using a consistent architecture to model changing requirements. Reduce risk and delivery better data to apps across the organization to accelerate transformation. Create enterprise-wide KPIs and address compliance, reporting and analysis requirements. Use industry data model vocabularies and templates for regulatory reporting to govern your data.
-
23
Montara
Montara
Montara enables BI teams and data analysts, using SQL only, to model and transform their data easily and seamlessly and enjoy benefits such as modular code, CI/CD, versioning and automated testing and documentation. With Montara, analysts can quickly understand how changes to models impact analysis, reports and dashboards with report-level lineage and support for 3rd party visualization tools such as Tableau and Looker. Furthermore, BI teams can perform ad-hoc analysis and create reports and dashboards on Montara directly.Starting Price: $100/user/month -
24
ExoCoding
ExoCoding
ExoCoding is a code generation online platform that empowers software developers to build better software faster. It uses model-based AI-powered assistants to generate boilerplate code and streamline repetitive tasks. Developers can create apps containing modules with Database Management, Logic Building, and Interface Design. There are also more features like sharing prototypes, task planning, and a marketplace with pre-built templates that enhance the developer’s experience. After generating code (backend and frontend), everything is business as usual with the same IDE and other dev tools, but with much work already accomplished. -
25
Dtangle
Dtangle
Transforming complex data networks into clear insights. Dtangle leverages a revolutionary open source technology from CERN and AI assistants, transforming complex data landscapes into clear, actionable insights. With our revolutionary solutions, sift through data with precision, isolating the essentials from the clutter. Dtangle’s visual analytics tools let you explore data from angles of interest, ensuring that you’re always presented with valuable data threads. Even the most intricate data networks are made comprehensible, translating complexity into visuals that speak clarity. At Dtangle, we provide advanced visual tools to help companies decipher their data patterns. With user-friendly interfaces, even those without a data background can derive actionable insights. Dtangle takes data analysis to a whole new level. Transcend traditional data and network analysis by harnessing the full potential of data science. -
26
Data Warehouse Studio
Gamma Systems
Data Warehouse Studio enables software architects, data modelers, and business analysts to contribute directly to the outcome of data warehouse and business intelligence projects. Using Data Warehouse Studio’s graphical user interface, these domain experts define business rules, data mappings, desired coding patterns, and other design elements. Once these requirements and technical specifications have been entered in Data Warehouse Studio’s central repository, the platform automatically generates 99-100% of the SQL and ETL code required for the project, eliminating the need for hand-coding. For most projects, Data Warehouse Studio completely eliminates the need to manually code ETL or SQL processes. Data Warehouse Studio is a design time technology that provides a single integrated platform for all project participants to capture requirements and technical specifications. -
27
UML Designer
UML Designer
UML Designer provides a set of common diagrams to work with UML 2.5 models. The intent is to provide an easy way to make the transition from UML to domain specific modeling. This way users can continue to manipulate legacy UML models and start working with DSL. Users can even re-use the provided representations and work in a total transparence on both UML and DSL models at the same time. It provides a generic workbench for model-based architecture engineering that could be easily tailored to fit specific needs. It uses the standard UML2 metamodel provided by the Eclipse Foundation. As it is based on Sirius, it provides an easy way to combine UML with domain specific modeling. You can extend the provided diagram definitions and seamlessly work on both UML and DSL models at the same time. You can easily modify it to adapt each diagram to your needs. Give a try to the latest UML Designer release and get the corresponding code. -
28
IBM SPSS Modeler
IBM
IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. IBM SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling. It now only takes a few clicks for you to analyze data, identify fixes, screen out fields and derive new attributes. Leverage IBM SPSS Modeler’s powerful graphics engine to bring your insights to life. The smart chart recommender finds the perfect chart for your data from among dozens of options, so you can share your insights quickly and easily using compelling visualizations. -
29
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.