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Leo Editor VS Presto DB

Compare Leo Editor VS Presto DB and see what are their differences

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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Leo Editor logo Leo Editor

Text and code editor where Outlines are first class citizen.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Leo Editor Landing page
    Landing page //
    2023-05-14
  • Presto DB Landing page
    Landing page //
    2023-03-18

Leo Editor features and specs

  • Outline-based Structure
    Leo Editor uses a unique outline-based approach that allows users to organize and structure their projects effectively. It enables hierarchical organization, making it easy to rearrange and manage large amounts of code or text.
  • Scripting and Extensibility
    Leo Editor is highly extensible through scripting. Users can write custom scripts in Python to automate tasks, customize workflows, and enhance functionalities, making it a powerful tool for advanced users.
  • Version Control Integration
    Leo Editor integrates well with version control systems, allowing users to track changes, manage branches, and collaborate effectively on projects.
  • Cross-Platform Compatibility
    Leo Editor runs on multiple operating systems, including Windows, macOS, and Linux, providing flexibility for users to work on their preferred platform.
  • Active Community and Support
    Leo Editor has a supportive community that contributes to its development. Users can access forums, mailing lists, and online documentation for help and resources.

Possible disadvantages of Leo Editor

  • Steep Learning Curve
    Due to its unique outlining approach and extensive features, new users may find Leo Editor complex and might require a significant investment of time to learn how to use it effectively.
  • Minimalistic User Interface
    Some users may find Leo Editor's interface overly simplistic or lacking in aesthetics compared to more modern editors, which might affect their user experience.
  • Niche Tool
    Leo Editor is designed for specific use cases and might not suit everyone. Its focus on outlining and scripting might be unnecessary for users who need straightforward text editing capabilities.
  • Limited Plugin Ecosystem
    Compared to other popular editors, Leo has a smaller plugin ecosystem, which could limit certain functionalities or integrations that users might be looking for.

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.

Leo Editor videos

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Leo editor: intro to outline manipulation

Presto DB videos

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

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Category Popularity

0-100% (relative to Leo Editor and Presto DB)

Leo Editor

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 Leo Editor and Presto DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Leo Editor might be a bit more popular than Presto DB. We know about 13 links to it since March 2021 and only 10 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.

Leo Editor mentions (13)

  • Ask HN: What do you think about literate programming for handover/legacy code?
    What are your experiences with literate programming for handover of code? I am thinking of tools like noweb (https://en.wikipedia.org/wiki/Noweb), LEO (http://leoeditor.com/) org-mode (http://cachestocaches.com/2018/6/org-literate-programming/), scribble/lp2 (https://docs.racket-lang.org/scribble/lp.html#%28part._scribble_lp2_.Language%29), My experience so far is that it can be a fantastic tool for documenting... - Source: Hacker News / over 2 years ago
  • How to hoist the current method/function?
    I know what folding is, that's just not what I want. I want to completely hide everything that is not related to the current function. For a while, I used http://leoeditor.com/ where I could have every function/method as a node in a tree, with the node body containing just that. Looking for a way to achieve the same in vim if possible. Source: almost 3 years ago
  • Organice: An implementation of Org mode without the dependency of Emacs
    The lack of good node/graph based APIs for Org Mode is my beef as well. When you compare it with the APIs of the Leo Editor[1], Org pales in comparison. Manipulation that is trivial in the Leo Editor can be quite a pain in Org mode. [1] https://leoeditor.com/. - Source: Hacker News / about 3 years ago
  • Obsidian Dataview: Turn Obsidian Vault into a database which you can query from
    > What outliners do you know which allow end-users to feed their data into formulas for processing it without using general-purpose programming languages? Bit of a pointless constraint, the talk is about outliners, not no-code-datamangment. Which tool today does this even offer on a useful level? But you can look at leo editor (https://leoeditor.com), which is active for 20+ years, fully scriptable and extendable.... - Source: Hacker News / about 3 years ago
  • LeoVue
    Leo is a pretty amazing project: Edward K. Ream treats it as his life's work, it seems to me, and his energy on the mailing lists, constantly thinking in public, is an inspiration. https://leoeditor.com/. - Source: Hacker News / about 3 years ago
View more

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 / 4 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 / almost 3 years ago
View more

What are some alternatives?

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

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

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.

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

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

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

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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