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Top 30 Data Modeling Tools

What are Data Modeling Tools?

Data Modeling Tools make it possible to model data quickly and efficiently. They provide a link between the data and the various levels of data models. Most Data Modeling Tools will automatically build database schemas, allow for schema and model merger and comparison, and reverse engineer existing databases into models. Today, a variety of commercial and free source Computer-Aided Software Engineering (CASE) solutions, including Data Modeling, Diagramming, and Visualization tools, are widely used.

Data Modeling Tools make database design rapid and easy while reducing human mistakes. It aids in the development of a high-performance database, the generation of meaningful reports for stakeholders, and the creation of Data Definition Language (DDL). A well-designed database reduces the likelihood of failure, reduces maintenance work, and shortens the time it takes to execute a task.

Why do we Need Data Modeling Tools?

Data is the most valuable asset for most businesses. As a result, the Database you employ to store this asset is more crucial than ever. When you consider that Data Analytics and Data Scientists want to be able to slice and dice the data to support major strategic business decisions, having the data in a design that supports the application that puts it in motion, as well as providing useful content while the data is at rest, is critical. You must now plan for both sorts of requirements.

Here is a list of 30 popular data modeling tools:

  1. ER/Studio
  2. SAP PowerDesigner
  3. IBM InfoSphere Data Architect
  4. Oracle SQL Developer Data Modeler
  5. ERwin Data Modeler
  6. Lucidchart
  7. Toad Data Modeler
  8. Visual Paradigm
  9. Sparx Systems Enterprise Architect
  10. DbSchema

1. ER/STUDIO

Along with erwin, ER/Studio is another powerful, long-running, enterprise-friendly market leader in data modeling. It supports forward and reverse engineering, and also runs the gamut in terms of databases supported. The tool — which is Windows-only — is available in four versions, with the top model supporting Jira integration, conceptual mapping and schema generation on database, among other features.

Both erwin and ER/Studio have weathered ownership changes since arriving in the late ’90s. Those shakeups may have factored into occasional stability issues for both products, Gupta said, but the fact that both can connect to so many different data sources and database platforms should counteract lingering fears of bugginess. Both are quality options for enterprises that want to avoid vendor lock-in, he added.

Key Features:

  • Users can incorporate Jira integration
  • Supports forward and reverse engineering
  • Allows for conceptual mapping

2. SAP PowerDesigner

SAP Powerdesigner is capable of capturing, analyzing, and presentation of business data. It follows industry best practices to give comprehensive coverage on metadata storage and get an understanding of the input data. Supports a very wide range of databases.

3. IBM InfoSphere Data Architect

IBM Infosphere Data Architect is a collaborative tool for design and data modeling. It is one of the best solutions that simplifies and accelerates data integration for business statistics and intelligence. It helps to provide services, data architectures, applications, and processes. It even helps in improving productivity, data governance, and business alignments.

This tool supports importing and exporting facilities to import and export the constant mappings as in the form of a.CSV file. It supports various databases such as Informix, Sybase, Microsoft SQL Server, DB2, Teradata, and MySQL systems.

4. ORACLE SQL DEVELOPER DATA MODELER

Created in 2009, Oracle’s SQL Developer Data Modeler is a free data modeling tool that allows users to create relational, physical, and multidimensional models. Users can also apply the tool to forward and reverse engineer data. The data modeler has had over 20 iterations and releases and future enhancements plan to include compatibility with MySQL, TimesTen, Sybase, and SQL Server 8. This tool can be used on both local computers and cloud-based systems.

Key Features:

  • Relation, physical, and multidimensional model capabilities
  • Supports forward and reverse engineering
  • Has local and cloud access

5. ERWIN DATA MODELER

Erwin runs on MySQL and PostgreSQL — the kinds of free databases toward which so much of the tech world has gravitated in recent years. But it also supports the likes of Teradata, Oracle and Netezza — which is why it’s perhaps more associated with enterprise legacy shops, where data models tend to be more thoroughly optimized than in some deliver-features-fast startups.

That said, organizations that accept the cost tradeoff get some very robust capabilities. Benefits include the ability to both forward and reverse engineer, generate DDL statements, and “help you identify diffs, to keep the history of your schema evolution,” Vovchenko said.

Key Features:

  • Forward and reverse engineering capabilities
  • Generates DDL statements
  • Supported on a variety of databases and operating systems

6. Lucidchart

Lucidchart is a collaborative online tool for creating database diagrams. There’s no need to download bulky software because this Data Modeling solution is cloud-based, and updates are instantaneous. One of the most significant advantages of this tool is that it can save you hours of manual work.

Key Features:

  • A large number of sophisticated features are available.
  • A plethora of information assets are available and the interface is simple to navigate.
  • It’s a good choice for architectural schematics.
  • The Lucidchart app for Android and iOS is compatible with all three main operating systems and can be used on any mobile device.
  • MySQL, Oracle, SQL Server, and PostgreSQL are among the systems supported.

7. Toad Data Modeler

Toad is a data modeling tool that maximizes productivity using extensive automation, intuitive workflows, and built-in expertise. This software manages code change and promotes the highest levels of quality.

Features:

  • Access key data quickly for in-place analysis and single-click export to an Excel instance
  • It can easily identify differences by comparing and syncing servers, data, and schemas.
  • Rollback transactions directly from the transaction log without need to restore from a backup
  • Get powerful query tuning capabilities
  • Execute scripts and T-SQL snippets for numerous instances and servers
  • Automate repetitive processes like data and schema comparisons
  • Get free performance health checks benchmarked from the community

8. Visual Paradigm

Visual Paradigm comes with a drag-and-drop editor that makes it easy to build apps.

With this tool, you will be able to export the database from Entity Relationship Diagram (ERD). New users can count on the REST API for designing purposes. In case you have trouble, you can count on the brilliant wizard that provides step-by-step instructions on how to make a database.

One of the highlights of this data modeling tool is the collaboration feature that allows team members to work on a project simultaneously.

With Visual Paradigm, you will be able to build reports. Plus, unlike some other tools out there, it works on almost all operating systems including Linux, macOS, and Windows.

9. Sparx Systems Enterprise Architect

Sparx system is a diagram design tool for modeling documenting, building, and maintaining object-oriented features.

Features:

  • Helps you with effective project management
  • It provides a high-performance model repository
  • Offers End-to-end traceability
  • Powerful document generation
  • Seamlessly integrate with Jazz, Jira, Wrike, ServiceNow, Autodesk, Bugzilla, SharePoint, and Dropbox
  • Support multiple file formats like PDF and HTML
  • Offers multiple import and export options like CSV and XML

10. DBSCHEMA

DbSchema is a database design tool that has both free and priced options and is supported on many databases. DbSchema allows for data modeling techniques like building visual queries, schema synchronizing, and automating database tasks like schema deployment and more. Data modelers can also use DbSchema to arrange tables in various layouts, create reports in HTML or PDF format and compare different databases or scripts to identify inconsistencies.

Key Features:

  • Visual query builder
  • Generates documentation across formats
  • Runs automated database tasks
Rajesh Kumar
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