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Jugglingdb VS SQLAlchemy

Compare Jugglingdb VS SQLAlchemy and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Jugglingdb logo Jugglingdb

Multi-database ORM for nodejs: redis, mongodb, mysql, sqlite3, postgresql, arango, in-memory... - 1602/jugglingdb

SQLAlchemy logo SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
  • Jugglingdb Landing page
    Landing page //
    2022-11-02
  • SQLAlchemy Landing page
    Landing page //
    2023-08-01

Jugglingdb features and specs

No features have been listed yet.

SQLAlchemy features and specs

  • Flexibility
    SQLAlchemy offers a high degree of flexibility for developers, allowing them to use raw SQL, an ORM, or a combination of both, which makes it adaptable to different use cases and preferences.
  • Database Agnosticism
    It supports a wide range of database backends (e.g., PostgreSQL, MySQL, SQLite) without needing to alter application code, facilitating easier transitions between databases.
  • Powerful ORM
    Its ORM component provides powerful object-relational mapping capabilities, making complex query construction and database interaction easier by using Pythonic objects.
  • Robust Query Construction
    SQLAlchemy offers advanced query construction capabilities, enabling developers to build complex and dynamic queries efficiently.
  • Comprehensive Documentation
    The library comes with extensive and well-maintained documentation, which helps in easing the learning curve and troubleshooting issues.

Possible disadvantages of SQLAlchemy

  • Learning Curve
    Due to its extensive features and flexibility, SQLAlchemy can have a steep learning curve for beginners, especially those new to databases or ORMs.
  • Complexity
    For simple CRUD applications, using SQLAlchemy might be overkill and adds unnecessary complexity compared to simpler ORM solutions like Django ORM.
  • Performance Overhead
    While powerful, the ORM layer may introduce some performance overhead compared to writing raw SQL, which can be a consideration for performance-critical applications.
  • Verbose Syntax
    The syntax, especially when using the ORM, can become verbose, which might be cumbersome for developers preferring succinct code.
  • Debugging Challenges
    Debugging complex object-relational mapping logic can be challenging, and pinpointing issues may require a deep understanding of both the database and SQLAlchemy's intricacies.

Jugglingdb videos

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SQLAlchemy videos

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SQLAlchemy ORM for Beginners

More videos:

  • Review - SQLAlchemy: Connecting to a database
  • Review - Mike Bayer: Introduction to SQLAlchemy - PyCon 2014

Category Popularity

0-100% (relative to Jugglingdb and SQLAlchemy)

Jugglingdb

SQLAlchemy

Error Tracking
100 100%
Error Tracking
0% 0
Databases
9 9%
Databases
91% 91
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100

User comments

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Social recommendations and mentions

Based on our record, SQLAlchemy seems to be more popular. It has been mentiond 2 times 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.

Jugglingdb mentions (0)

We have not tracked any mentions of Jugglingdb yet. Tracking of Jugglingdb recommendations started around Mar 2021.

SQLAlchemy mentions (2)

  • Speak Your Queries: How Langchain Lets You Chat with Your Database
    Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 2 years ago
  • My favorite Python packages!
    SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Jugglingdb and SQLAlchemy, you can also consider the following products

mycli - A CLI for MySQL with auto-completion and syntax highlighting

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

Hibernate - Hibernate an open source Java persistence framework project.

SqlPad - Run SQL in your browser and chart the results

Entity Framework - See Comparison of Entity Framework vs NHibernate.

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