Diagrams.net drops you right into a drag-and-drop interface without requiring you to create an account, enter billing information, or even choose where you want to save your diagram. Just visit the site and start diagramming.

Lucidchart is an online diagramming tool that can help you diagram your database, among other things, such as organization charts and agile planning. It has a robust library of templates to get you started, and it can make the best-looking diagrams out of any tool on this list.

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Create a free account, and start diagramming using a library of 100 professional templates or starting from scratch. Lucidchart is perhaps the most fully featured drag-and-drop diagramming tool listed here, encompassing many use cases, from collaborative brainstorming to ER diagramming.

MySQL Workbench Community Edition is a free visual database design tool that works with only MySQL Community Edition. It does much more than just diagramming, including the ability to monitor database performance and create SQL queries.

And Chartio goes a step further and can help you manage the schema you diagrammed with one of these tools above. Start a free trial of Chartio now to see how it works alongside one of these free database diagramming tools.

Database design software tools are specialized applications that simplify the process of creating and managing database models. They provide a visual interface to sketch a map of your data models. You can then design tables, specify the data each table will hold, and create connections between them to continue building out your database structure.

Some design tools take it a step further by automatically generating code from your visual maps to create the databases. This saves time and reduces errors that occur when this design-to-code process is done manually.

ClickUp may not be your typical database design software. However, its built-in diagram tool and highly visual features are ideal for designing, building, and managing no-code databases for various teams and projects.

Get started with these designs from scratch or use a template from its extensive library. Lucidchart also comes with lots of shapes and connectors for creating your diagrams. You can customize them by changing their color, size, and thickness.

Collect and track data from multiple sources by connecting Smartsheet to apps like Google Forms, DocuSign, and HubSpot. Plus, you can set up rule-based triggers to automate row updates, move rows to different sheets, and send alerts when certain conditions are met.

Each row in a table can hold any type of record and each column stores various data types like text, number, date, lookup, and linked records. Create forms or connect with external apps to capture data directly into a base and set up automations to streamline base management.

DbSchema is a database design, management, and deployment tool used for complex database projects. It works with all relational databases like MySQL, PostgreSQL, and Microsoft SQL Server, as well as some NoSQL ones like MongoDB and Cassandra.

Datanamic DeZign is a data modeling tool for designing databases with crowsfoot and IDEF1X notations. Generate databases from your diagrams or connect them with existing databases to convert them into ERDs for analysis and updates.

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.

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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, including MySQL Fabric. The Object Browser provides instant access to database schema and objects.

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MySQL Workbench provides a visual console to easily administer MySQL environments and gain better visibility into databases. Developers and DBAs can use the visual tools for configuring servers, administering users, performing backup and recovery, inspecting audit data, and viewing database health.

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MySQL Workbench provides a suite of tools to improve the performance of MySQL applications. DBAs can quickly view key performance indicators using the Performance Dashboard. Performance Reports provide easy identification and access to IO hotspots, high cost SQL statements, and more. Plus, with 1 click, developers can see where to optimize their query with the improved and easy to use Visual Explain Plan.

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MySQL Workbench now provides a complete, easy to use solution for migrating Microsoft SQL Server, Microsoft Access, Sybase ASE, PostreSQL, and other RDBMS tables, objects and data to MySQL. Developers and DBAs can quickly and easily convert existing applications to run on MySQL both on Windows and other platforms. Migration also supports migrating from earlier versions of MySQL to the latest releases.

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dbForge Studio for SQL Server incorporates a powerful Database Designer that helps you create detailed data models of databases, with all the required physical database entities and storage parameters at hand. Designed for developers, DBAs, and data analysts, Database Designer comprises a number of sub-tools for creating and editing databases, designing tables and building database relationships. Also, the tool can assist you in creating ER diagrams for SQL databases. You can read more about it in the Create ER Diagram for SQL Server Database Using SSMS and SQL Designer article.

Database Diagram is the ultimate data modeling tool that allows to visually build new databases and analyze the structures of the existing ones. You can easily design your databases at both logical and physical levels, as well as do the following:

Database Editor is a database structure design tool that simplifies the database design process by allowing to create and configure new SQL databases or quickly modify the existing ones. With its help, you can easily do the following:

When you create a complex diagram with multiple shapes or a diagram with tables from different schemas, you may want to use containers to group your shapes. You may also use containers to group and store specific types of database objects. All relationships between table shapes are kept intact regardless of their placement in containers.

Reverse Engineering (sometimes called backwards engineering or back engineering) is a diagram representation based on structuring the databases and building logical and physical relationships between SQL tables.

To generate a database script, in Database Explorer, right-click the database you want to reverse-engineer and select Tasks > Create Scripts Folder or Snapshot. In the wizard, users can structure scripts of database objects into folders, such as Programmability, Security, Tables, Views, Storage, Synonyms, and a separate script of the whole database. All these folders will have the corresponding subfolders with scripts.

Download your free 30-day trial of dbForge Studio for SQL Server to see its capabilities for yourself. All of its features, including Database Designer, were created to make work easy and enjoyable for you.

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Entity Relationship Diagram (ERD), a database design tool that provides graphical representation of database tables, their columns and inter-relationships. ERD is the most popular database design tool. A well-developed ERD can provide sufficient information for database administrator to follow when developing and maintaining database.

Enter sample records for entities in ERD. The sample records help readers understand the format of data that will be inserted. Besides, the records will be output in data specification. You can also insert them into database upon database generation.

A database view is the result of a query on the data stored in a database. You can select columns, specify where and join statements to a view and present the data as if the data were coming from one single table. With Visual Paradigm's ERD tool, you can edit database view in a visual editor.

Conceptual, logical and physical ERD model the three different phases of a database design. While the conceptual and logical database design model database tables and their properties in a high level view, the physical ERD models the actual database schema, which involves the detailed entities' structure and their inter-relationship.

Click to derive logical from conceptual ERD, and physical from logical ERD. Our Model Transitor helps you not only generate the model but also keeps the traceability among the model, enabling you to navigate through the models seamlessly.

The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the clinical decision-making process. Large amounts of labeled datasets are often required to train deep neural networks; however, in the medical field, the lack of a sufficient number of images in datasets and the difficulties encountered during data collection are among the main problems. In this study, we propose MediNet, a new 10-class visual dataset consisting of Rontgen (X-ray), Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, and Histopathological images such as calcaneal normal, calcaneal tumor, colon benign colon adenocarcinoma, brain normal, brain tumor, breast benign, breast malignant, chest normal, chest pneumonia. AlexNet, VGG19-BN, Inception V3, DenseNet 121, ResNet 101, EfficientNet B0, Nested-LSTM + CNN, and proposed RdiNet deep learning algorithms are used in the transfer learning for pre-training and classification application. Transfer learning aims to apply previously learned knowledge in a new task. Seven algorithms were trained with the MediNet dataset, and the models obtained from these algorithms, namely feature vectors, were recorded. Pre-training models were used for classification studies on chest X-ray images, diabetic retinopathy, and Covid-19 datasets with the transfer learning technique. In performance measurement, an accuracy of 94.84% was obtained in the traditional classification study for the InceptionV3 model in the classification study performed on the Chest X-Ray Images dataset, and the accuracy was increased 98.71% after the transfer learning technique was applied. In the Covid-19 dataset, the classification success of the DenseNet121 model before pre-trained was 88%, while the performance after the transfer application with MediNet was 92%. In the Diabetic retinopathy dataset, the classification success of the Nested-LSTM + CNN model before pre-trained was 79.35%, while the classification success was 81.52% after the transfer application with MediNet. The comparison of results obtained from experimental studies observed that the proposed method produced more successful results. 152ee80cbc

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