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PyScripter VS Presto DB

Compare PyScripter VS Presto DB and see what are their differences

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PyScripter logo PyScripter

PyScripter is a free and open-source Python Integrated Development Environment (IDE) created with...

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • PyScripter Landing page
    Landing page //
    2023-09-18
  • Presto DB Landing page
    Landing page //
    2023-03-18

PyScripter features and specs

  • Lightweight
    PyScripter is designed to be a lightweight IDE, which means that it loads quickly and doesn't consume much system resources compared to more comprehensive IDEs like PyCharm.
  • Free and Open Source
    PyScripter is available for free and its source code is open for anyone to view, modify, and distribute, making it a cost-effective option for developers.
  • Windows Integration
    As a Windows-only IDE, PyScripter integrates well with the Windows operating system, offering features like Windows shell support and native look and feel.
  • Debugger
    PyScripter provides a robust integrated debugger with features like breakpoints, call stack visibility, and step-through execution, which are crucial for effective debugging.
  • Python Versions Support
    It supports multiple versions of Python, allowing developers to easily switch between different Python environments or scripts that require different Python versions.

Possible disadvantages of PyScripter

  • Windows-Only
    PyScripter is only available for Windows, which limits its accessibility for developers using macOS or Linux platforms.
  • Limited Features
    Compared to some other IDEs like PyCharm or Visual Studio Code, PyScripter may lack some advanced features and plugins that are available in those environments.
  • Less Community Support
    The community around PyScripter is smaller compared to more popular IDEs, which can make it harder to find help or resources specific to PyScripter.
  • UI/UX Design
    The user interface, while functional, may not be as modern or visually appealing as other popular IDEs, which could impact user experience.

Presto DB features and specs

  • High-Performance Query Engine
    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
  • Distributed SQL Query Engine
    Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
  • Versatility
    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
  • ANSI-SQL Compatibility
    Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
  • Open Source
    Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
  • Extensible
    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

Possible disadvantages of Presto DB

  • Resource Intensive
    High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
  • Complex Configuration
    Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
  • Limited Support for Transactions
    Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
  • Community Support
    While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
  • Latency for Small Queries
    Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
  • Maintenance Overhead
    Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.

Analysis of Presto DB

Overall verdict

  • PrestoDB is considered a strong choice for organizations needing to perform fast and complex analytic queries. Its ability to execute SQL queries on big data at lightning speeds makes it an attractive tool for data-driven organizations. However, the choice of PrestoDB depends on specific use cases, existing infrastructure, and the team's familiarity with its architecture and operational demands.

Why this product is good

  • PrestoDB is a highly-regarded distributed SQL query engine that excels in speed and efficiency for querying large datasets. It's designed for running interactive analytic queries against data sources of all sizes. Some of its core strengths include its ability to query data across a wide variety of sources, scalability, and strong community support. It's often chosen for its capability to integrate seamlessly in environments requiring fast data processing and analysis without the need to move or transform data extensively.

Recommended for

    PrestoDB is ideal for technology firms, data-driven companies, and organizations in need of real-time data analytics. It is especially well-suited for those with existing big data frameworks (like Hadoop, Kafka, and Cassandra) who require a performant query engine to leverage large datasets efficiently. It's recommended for teams familiar with distributed systems who need the flexibility and speed offered by PrestoDB's architecture.

PyScripter videos

+ Add

Introduction to PyScripter, the Portable Python IDE

More videos:

  • Review - Python Lesson with PyScripter - Quadratic Formula and more - part 1
  • Tutorial - How to install pyScripter and python

Presto DB videos

No Presto DB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to PyScripter and Presto DB)

PyScripter

Presto DB

IDE
100 100%
IDE
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Text Editors
100 100%
Text Editors
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using PyScripter and Presto DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Presto DB seems to be more popular. It has been mentiond 10 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.

PyScripter mentions (0)

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

Presto DB mentions (10)

  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / about 1 month ago
  • Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
    In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's revolutionizing how we approach big data analytics. - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Presto: Presto is an open-source distributed SQL query engine that enables querying data from various sources. It provides fast and interactive analytics capabilities, supporting a wide range of data formats and integration with different storage systems. - Source: dev.to / about 2 months ago
  • Using IRIS and Presto for high-performance and scalable SQL queries
    The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known... - Source: dev.to / 5 months ago
  • Parsing logs from multiple data sources with Ahana and Cube
    Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing PyScripter and Presto DB, you can also consider the following products

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Pyzo - Pyzo is a cross-platform Python IDE focused on interactivity and introspection, which makes it very...

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Thonny - Python IDE for beginners

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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