Software Alternatives, Accelerators & Startups
Register | Login

Presto DB VS ptpython

Compare Presto DB VS ptpython and see what are their differences

Electe
Illuminate the future with AI sponsored
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

ptpython logo ptpython

a better Python REPL
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • ptpython Landing page
    Landing page //
    2022-11-02

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.

ptpython features and specs

  • Syntax Highlighting
    Ptpython provides syntax highlighting which makes the code easier to read and write, helping users to identify elements such as keywords, strings, and variables quickly.
  • Autocompletion
    The tool offers powerful autocompletion, allowing for faster code writing by suggesting variable names, functions, and methods as you type.
  • Vi and Emacs Keybindings
    Support for both Vi and Emacs keybindings means users can navigate and edit code using their preferred text-editing shortcuts, enhancing productivity and comfort.
  • Embeddable
    Ptpython can be embedded in other applications, providing a flexible option to integrate an interactive shell within custom projects.
  • Customizable Configuration
    Users can customize various options in ptpython using a Python file, allowing for a highly personalized interactive environment.

Possible disadvantages of ptpython

  • Dependency on prompt-toolkit
    Ptpython requires the installation of the prompt-toolkit library, adding a dependency that needs to be managed within your environment.
  • Steeper Learning Curve
    For those unfamiliar with interactive Python shells or text-editor keybindings, ptpython might present a steeper learning curve compared to simpler alternatives like the default Python REPL.
  • Resource Consumption
    The advanced features of ptpython, such as real-time syntax highlighting and auto-completion, may consume more system resources compared to the standard Python shell.
  • Limited Library Support
    While ptpython itself is well-supported, users might encounter compatibility issues or lack of support with other third-party libraries or extensions they wish to use.
  • Potential for Overhead
    For simple tasks or quick tests, the additional features of ptpython may introduce unnecessary overhead compared to using a basic Python shell.

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.

Presto DB videos

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

Add video

ptpython videos

+ Add

A BETTER PYTHON REPL (READ EVAL PRINT LOOP) - PTPYTHON

Category Popularity

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

Presto DB

ptpython

Data Dashboard
100 100%
Data Dashboard
0% 0
Python IDE
0 0%
Python IDE
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0
Text Editors
0 0%
Text Editors
100% 100

User comments

Share your experience with using Presto DB and ptpython. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

ptpython might be a bit more popular than Presto DB. We know about 11 links to it since March 2021 and only 11 links to Presto DB. 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.

Presto DB mentions (11)

  • 15 AWS EMR Cost Optimization Tips to Slash Your EMR Spending (2025)
    AWS EMR (Elastic MapReduce) is a fully managed big data platform. It manages the setup, configuration, and tuning of open source frameworks like Apache Hadoop, Apache Spark, Apache Hive, Presto, and more at scale on AWS infrastructure. EMR handles cluster scaling, resource allocation, and lifecycle management. This allows you to work with large datasets for various use cases, from ETL pipelines to ML workloads.... - Source: dev.to / 9 months ago
  • 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 / over 1 year 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 / over 1 year 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 / over 1 year 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 / over 1 year ago
View more

ptpython mentions (11)

  • Why Lisp?
    If you like using the REPL, for Python I recommend you try https://github.com/prompt-toolkit/ptpython. - Source: Hacker News / over 3 years ago
  • Tools for productivity
    REPL??? Do you have a very-easy-to-use way of running and testing your code? From vim-slime to nvim sniprun to autocommands with the built in terminal, to an external repl like ptpython (for python obviously). iron.nvim and conjure are two other neovim repl plugins. There are many ways of running the code that you're working on, and having something that makes this really easy for you is pretty essential.... Source: over 3 years ago
  • Is there a vim mode for zsh ?
    I use ptpython for my python repl https://github.com/prompt-toolkit/ptpython. I find it very convenient because it has a vim mode, and many vim similarities. Source: over 3 years ago
  • Is there a way to make the Python IDLE auto-close brackets and quotations?
    A library like ptpython should be what you're looking for, however this probably isn't an option for an exam setting. Source: over 3 years ago
  • Where do I go after learning lua?
    Create a repl to the standard that ptpython sets for python (both croissant and ilua leave a lot to be desired). Source: over 3 years ago
View more

What are some alternatives?

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

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.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

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

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.

bpython - bpython is a fancy interface to the Python interpreter for Unix-like operating systems (I hear it...

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Loading...