Software Alternatives, Accelerators & Startups

Data Jumbo VS SQLAlchemy

Compare Data Jumbo VS SQLAlchemy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Data Jumbo logo Data Jumbo

Build advanced charts for Notion in a minute.

SQLAlchemy logo SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
  • Data Jumbo Landing page
    Landing page //
    2023-07-13

Build advanced charts for Notion in a minute 1. Pick your chart type: bars, calendars, KPI, radar,... 2. Prepare your data: group, split, filter, sort 3. Customise that chart: from colors to axis rotation, and legend position 4. Import your chart to Notion

๐ŸŒŸ What you can do? - The chart you want: bars, lines, pie/donut, single KPI, radars - Unlimited number of rows while loading quickly - Multi-series: display multiple columns in the same chart - Filter rows: keep only the relevant data, ie keep only rows with the date of today or after a specified date, hide empty rows, ... - Splits: divide your data with another value like a label - Customization: not only colors but a bunch of other customization parameters like line styles, labels, value format (dollar, rounded value,...) - Dark mode compatible with Notion - Public link: for publishing on your own website: made with Notion or any other tool - Row as series: visualize a single row as a chart

  • SQLAlchemy Landing page
    Landing page //
    2023-08-01

Data Jumbo

$ Details
freemium $5.0 / Monthly
Platforms
Notion
Release Date
2021 October

Data Jumbo features and specs

  • Chart types
    bars, lines, pie/donut, single KPI, radars
  • KPI
  • Free charts
    5
  • Maximum database rows
    Unlimited
  • Multi-series (display multiple columns in the same chart)
  • Row as series (visualize a single row as a chart)
  • Filter rows
  • Sort rows
  • Group rows
  • Splits
  • Dark mode
  • Cached charts
  • Public links

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.

Data Jumbo videos

Charts for Notion - demo

SQLAlchemy videos

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 Data Jumbo and SQLAlchemy)
Productivity
100 100%
0% 0
Databases
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Web Frameworks
0 0%
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 Data Jumbo and SQLAlchemy

Data Jumbo Reviews

  1. Awesome tool

    The UI for editing charts and the amount of customization you can perform is way better than the service offered by competitors. The support team is super reactive as well.

    ๐Ÿ Competitors: Notion2Charts
    ๐Ÿ‘ Pros:    Great customer support|Highly customizable

SQLAlchemy Reviews

We have no reviews of SQLAlchemy yet.
Be the first one to post

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.

Data Jumbo mentions (0)

We have not tracked any mentions of Data Jumbo yet. Tracking of Data Jumbo recommendations started around Jun 2022.

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 Data Jumbo and SQLAlchemy, you can also consider the following products

Notion Charts - Generate embeddable charts, beautifully optimized for Notion

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

Notion2Charts - Notion2Charts is an easy to use online tool to generate beautiful embeddable charts from your Notion databases.

Hibernate - Hibernate an open source Java persistence framework project.

ChartBrick - Visualize your data (from Notion, Airtable, Stackby, MySQL, CSV, JSON) as insightful charts and make it more understandable. You can also download these charts as images and embed them in Notion pages or anywhere else.

Entity Framework - See Comparison of Entity Framework vs NHibernate.