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SQL Developer Data Modeler VS gitmbed

Compare SQL Developer Data Modeler VS gitmbed and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

SQL Developer Data Modeler logo SQL Developer Data Modeler

Oracle SQL Developer Data Modeler is a free graphical tool that simplifies data modeling tasks.

gitmbed logo gitmbed

Social media better with gitmbed! Embeds in your posts/READMEs where they would normally be blocked!
  • SQL Developer Data Modeler Landing page
    Landing page //
    2023-10-17
  • gitmbed Landing page
    Landing page //
    2023-07-25

SQL Developer Data Modeler features and specs

  • Comprehensive Modeling Features
    SQL Developer Data Modeler provides a wide range of features for data modeling, including logical, physical, multi-dimensional, and data-type modeling, which allows users to handle complex database structures efficiently.
  • Integration with Oracle Products
    Being part of the Oracle ecosystem, SQL Developer Data Modeler offers seamless integration with other Oracle products, ensuring smooth workflows for users who operate within this ecosystem.
  • Visual Diagramming Tools
    The tool offers robust diagramming capabilities for visual representation of data models, which helps in better understanding and communicating database designs.
  • Reverse Engineering
    SQL Developer Data Modeler allows for reverse engineering of existing databases, enabling users to generate models from existing database schemas, which helps in documentation and analysis.
  • Version Control Integration
    It supports integration with version control systems, allowing users to manage changes and collaborate effectively on database model development.

Possible disadvantages of SQL Developer Data Modeler

  • Complexity for Beginners
    The comprehensive features and capabilities of SQL Developer Data Modeler can be overwhelming for beginners, often requiring a steep learning curve to become proficient.
  • Performance Issues
    Users have reported performance lags, especially when handling large data models, which can hinder productivity in complex projects.
  • Limited Non-Oracle Support
    While it integrates well with Oracle products, users working with non-Oracle databases may find limited support and functionality when using SQL Developer Data Modeler.
  • User Interface Complexity
    The user interface can be complex and cluttered for new users, making it challenging to navigate and utilize effectively without prior experience.
  • Cost Implications
    Depending on the licensing and usage, there might be cost implications, especially for organizations not already using Oracle products, which may find it less cost-effective compared to other tools.

gitmbed features and specs

  • Seamless Integration
    Gitmbed allows for easy embedding of GitHub repositories into various platforms, providing seamless integration with different environments.
  • User-Friendly
    The tool is designed to be intuitive, making it accessible for users with varying levels of technical expertise.
  • Real-Time Updates
    Gitmbed provides real-time updates from the source repository, ensuring that embedded content is always current.
  • Customizable
    Users can customize the appearance and functionality of embedded repositories to suit their specific needs.

Possible disadvantages of gitmbed

  • Dependency on GitHub
    The effectiveness of Gitmbed relies heavily on GitHub's API and availability, which could be a limitation if issues arise with GitHub.
  • Limited Use Cases
    While Gitmbed is great for embedding repositories, its use cases are somewhat limited to platforms and situations where such a feature is needed.
  • Potential Security Risks
    Embedding repositories from GitHub could pose security risks, especially if the embedded content is not thoroughly reviewed.
  • Performance Concerns
    Depending on the size and complexity of the repository, embedding it could lead to performance issues on platforms with limited resources.

Analysis of gitmbed

Overall verdict

  • GitHub is a solid, industry-standard platform for hosting Git repositories and collaborating on code, backed by robust infrastructure, extensive integrations, and a massive community.

Why this product is good

  • Widely adopted, industry-standard platform trusted by millions of developers and organizations
  • Excellent Git repository hosting with strong performance and reliability
  • Rich ecosystem including GitHub Actions for CI/CD, Issues, Projects, and Wikis
  • Strong collaboration features like pull requests, code review tools, and discussions
  • Free tier available for public and private repositories with generous limits
  • Large community and marketplace of third-party integrations and apps
  • Good security features including Dependabot, secret scanning, and code scanning
  • Well-documented API for automation and custom tooling

Recommended for

  • Individual developers hosting personal or open-source projects
  • Teams and organizations needing collaborative code management
  • Companies wanting integrated CI/CD pipelines via GitHub Actions
  • Open-source maintainers seeking community visibility and contributions
  • Educational institutions teaching version control and collaboration
  • Enterprises requiring scalable, secure code hosting with compliance options

SQL Developer Data Modeler videos

+ Add

SQL Developer Data Modeler Just what you need

More videos:

  • Review - Creating Logical models using SQL Developer Data Modeler

gitmbed videos

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Category Popularity

0-100% (relative to SQL Developer Data Modeler and gitmbed)

SQL Developer Data Modeler

gitmbed

Databases
100 100%
Databases
0% 0
JS
0 0%
JS
100% 100
Data Modeling
100 100%
Data Modeling
0% 0
JavaScript
0 0%
JavaScript
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SQL Developer Data Modeler and gitmbed

SQL Developer Data Modeler Reviews

Top 9 Data Modeling Tools Every Team Needs
Oracle SQL Developer Data Modeler is a free data modeling tool provided by Oracle. Its purpose is to let the users create, manage, and browse data models easily. It offers a robust suite of tools, including SQL programming, database administration, and data modeling, all in a unified environment. The options of forward and reverse engineering enable both designing new...
Source: www.devart.com

gitmbed Reviews

We have no reviews of gitmbed yet.
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Social recommendations and mentions

Based on our record, gitmbed seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SQL Developer Data Modeler mentions (0)

We have not tracked any mentions of SQL Developer Data Modeler yet. Tracking of SQL Developer Data Modeler recommendations started around Mar 2021.

gitmbed mentions (1)

  • Submit Your Design Here and I will review it (Youtube video)
    In terms of HTML/CSS, I have https://github.com/flancast90/The-Vault (local serverless and encrypted file storage), https://github.com/flancast90/gitmbed (chrome extension for a better GitHub), https://github.com/flancast90/PennyPriceJS (price-finder tool), and my resume site/template (www.finnsoftware.net). Source: almost 5 years ago

What are some alternatives?

When comparing SQL Developer Data Modeler and gitmbed, you can also consider the following products

pgModeler - Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

erwin Data Modeler - erwin Data Modeler provides a collaborative environment to manage enterprise data though an...

Moon Modeler - Data modeling, schema design, and reporting tool for MongoDB and noSQL databases.

SQL Database Modeler - SqlDBM - Online Database Modeler

Toad Data Modeler - Toad Data Modeler product page. Easy-to-use, multi-platform database modeling

Quest Software - Simplify IT management and spend less time on IT administration and more time on IT innovation. Itโ€™s time to rethink systems and information management.

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