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FastAPI VS Pentaho

Compare FastAPI VS Pentaho and see what are their differences

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Contents:
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  3. » Reviews
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FastAPI logo FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Pentaho logo Pentaho

Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...
  • FastAPI Landing page
    Landing page //
    2023-05-14
  • Pentaho Landing page
    Landing page //
    2023-08-03

FastAPI features and specs

  • High Performance
    Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
  • Automatic Interactive API Documentation
    FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
  • Type Checking and Validation
    With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
  • Ease of Use
    Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
  • Asynchronous Support
    FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
  • Extensive Documentation
    It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
  • Community and Ecosystem
    FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages of FastAPI

  • Learning Curve for Asynchronous Programming
    Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
  • Complex Dependencies
    Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
  • Early Stage Libraries
    Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
  • Limited Real-World Examples
    Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
  • Deployment Complexity
    Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

Pentaho features and specs

  • Comprehensive Data Integration
    Pentaho offers robust data integration capabilities, enabling ETL (Extract, Transform, Load) processes from various data sources.
  • Open-Source Flexibility
    As an open-source platform, Pentaho allows for significant customization and has a large community for support and plugin development.
  • User-Friendly Interface
    Pentaho provides a user-friendly, drag-and-drop interface, making it accessible for users without extensive technical backgrounds.
  • Strong Reporting Tools
    The platform offers powerful and flexible reporting tools, enabling the creation of detailed reports and dashboards.
  • Scalability
    Pentaho's architecture supports scalability, allowing enterprises to use it for both small-scale and large-scale data projects.

Possible disadvantages of Pentaho

  • Learning Curve
    Despite its user-friendly interface, Pentaho can have a steep learning curve due to its extensive capabilities and features.
  • Performance Issues
    Some users report performance bottlenecks and slow processing speeds when handling very large datasets.
  • Cost of Enterprise Edition
    While the community edition is free, the enterprise edition comes with a significant cost, which may be prohibitive for smaller organizations.
  • Limited Native Integration
    Although it supports many data sources, Pentaho may require additional configuration or plugins to integrate with some modern data platforms and technologies.
  • Documentation
    Some users find the official documentation to be lacking in detail, making it difficult to solve specific issues without community support.

Analysis of FastAPI

Overall verdict

  • FastAPI is widely regarded as a good choice, especially for applications that require high performance, scalability, and modern Python features. It is suitable for both simple and complex projects, making it a versatile tool in the web development ecosystem.

Why this product is good

  • FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It is built on top of Starlette for web framework capabilities and Pydantic for data validation and settings management. FastAPI is known for its excellent performance, automatic generation of interactive API documentation (with Swagger and Redoc), and support for asynchronous programming. Developers appreciate its ease of use, detailed documentation, and helpful error messages.

Recommended for

  • Developers building RESTful APIs
  • Teams looking for a high-performance ASGI-based web framework
  • Projects that require asynchronous programming capabilities
  • Applications needing automatic generation of interactive API documentation
  • Python developers who prefer utilizing type hints for code clarity and validation

Analysis of Pentaho

Overall verdict

  • Pentaho's community edition is considered a good option for businesses and developers who are looking for a cost-effective, flexible, and comprehensive business intelligence tool without the need for extensive vendor support. Its ability to handle complex data processing and visualization tasks makes it a strong contender among open-source BI tools.

Why this product is good

  • Pentaho is an open-source business intelligence suite that offers data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities. It is especially appreciated for its flexibility, extensibility, and comprehensive set of features, which enable users to execute a wide range of data processing tasks. The community edition, supported by Hitachi Vantara, has a strong user base and active community forums where users can seek help and share knowledge, making it a valuable resource for those who prefer open-source solutions.

Recommended for

    Pentaho is recommended for small to medium-sized businesses, developers, and data professionals who have a technical background and are comfortable with troubleshooting and seeking support from community forums. It is also suitable for organizations that require a customizable and scalable BI solution without the cost of commercial licensing.

FastAPI videos

+ Add

FastAPI from the ground up

More videos:

  • Tutorial - 30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL
  • Review - [PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

Pentaho videos

+ Add

Pentaho Business Analytics 2-Minute Overview

More videos:

  • Review - pentaho Data Integration review
  • Review - Pentaho Business Analytics Overview

Category Popularity

0-100% (relative to FastAPI and Pentaho)

FastAPI

Pentaho

Developer Tools
100 100%
Developer Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100
API Tools
100 100%
API Tools
0% 0
Business Intelligence
0 0%
Business Intelligence
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 FastAPI and Pentaho

FastAPI Reviews

  1. Kurslog team
    · Working at Kurslog ·

    When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

    The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

    Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic
    Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch
The 20 Best Laravel Alternatives for Web Development
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
Source: tms-outsource.com
25 Python Frameworks to Master
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack frameworks like Django.
Source: kinsta.com
3 Web Frameworks to Use With Python
myapp/ is the main directory of your FastAPI application. It includes all the other files and directories needed for the application.static/ is a directory used to store static assets such as CSS, JavaScript, and image files. These assets are served directly by the web server and are typically used to add visual styling and interactivity to the application.css/, img/, js/...
Source: www.stratascratch.com
Best Alternatives to FastAPI App Free for Windows (2021)
FastAPI Alternative – So many alternatives app to FastAPI that you must to know out there. And, looking for an ideal software was not easy matter. Lucky you, at this page you can find the best replacement app for FastAPI. So what you are waiting for, get the latest FastAPI alternative app for Windows 10 from this page.
Source: alternativetoapp.com
Top 5 Back-End Frameworks to Consider for Web Development in 2021
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is fast when compared to other major Python frameworks like Flask and Django. FastAPI gives great flexibility to fulfill businesses’ API needs in today’s evolving world.
Source: www.fissionlabs.com

Pentaho Reviews

10 Best ETL Tools (October 2023)
An open-source platform offered by Hitachi Vantara, Pentaho is used for data integration and analytics. You can select either Pentaho’s free community edition, or purchase a commercial license for the enterprise edition.
Source: www.unite.ai
Top 14 ETL Tools for 2023
Pentaho (also known as Kettle) is an open-source platform offered by Hitachi Vantara and used for data integration and analytics. Users can select either Pentaho’s free community edition or purchase a commercial license for the enterprise edition. Like Integrate.io, Pentaho comes with a user-friendly interface that lets ETL newbies build robust data pipelines.
Source: www.integrate.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
This business suite is offered in two variants with the first one being Pentaho Community Edition which is a free and open-source Business Intelligence software that includes almost all of the features and options needed to create comprehensive analytical reports whereas the other one is Pentaho Enterprise Edition which is a subscription-based edition with slightly more...
Source: hevodata.com
Top 7 ETL Tools for 2021
Pentaho (also known as Kettle) is an open-source platform offered by Hitachi Vantara used for data integration and analytics. Users can select either Pentaho’s free community edition, or purchase a commercial license for the software’s enterprise edition. Like Xplenty, Pentaho comes with a user-friendly interface that lets even ETL newbies build robust data pipelines.
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Hitachi Vantara’s Pentaho platform for data integration and analytics offers traditional capabilities and big data connectivity. The solution supports the latest Hadoop distributions from Cloudera, Hortonworks, MapR, and Amazon Web Services. However, one of the tool’s shortcomings is that its big data focus takes attention away from other use cases. Pentaho can...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, FastAPI seems to be more popular. It has been mentiond 312 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.

FastAPI mentions (312)

  • I Built My First Machine Learning API — Here's Everything I Learned
    I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / 22 days ago
  • Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"
    The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / 3 months ago
  • 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE
    We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 4 months ago
  • FastAPI With LangChain and MongoDB
    FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 5 months ago
  • I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums
    Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 5 months ago
View more

Pentaho mentions (0)

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

What are some alternatives?

When comparing FastAPI and Pentaho, you can also consider the following products

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Matillion - Matillion is a cloud-based data integration software.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

Django - The Web framework for perfectionists with deadlines

Talend - Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.

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