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Presto DB VS JSON

Compare Presto DB VS JSON and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

JSON logo JSON

(JavaScript Object Notation) is a lightweight data-interchange format
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • JSON Landing page
    Landing page //
    2021-09-28

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.

JSON features and specs

  • Simplicity
    JSON is easy to read and write due to its straightforward syntax, making it a convenient data format for both humans and machines.
  • Language Independence
    JSON is supported by many programming languages, making it a versatile choice for data interchange across different environments.
  • Lightweight
    JSON's compact format allows for efficient data transfer, which is particularly beneficial in web applications where bandwidth is a concern.
  • Integration
    JSON easily integrates with modern web technologies and APIs, making it a preferred choice for RESTful services and web applications.
  • Data Structure
    JSON supports complex data structures, including objects and arrays, providing flexibility in representing various data forms.

Possible disadvantages of JSON

  • Limited Data Types
    JSON supports a limited set of data types, which may require additional handling when working with more complex data structures found in other formats.
  • No Comments
    JSON lacks a native mechanism for including comments within the data, which can be a limitation for documentation and readability purposes.
  • Security Concerns
    Parsing JSON can introduce security vulnerabilities if not properly handled, such as malicious data execution through insecure deserialization.
  • Verbosity
    Although lightweight, JSON can become verbose for highly nested structures, which can impact readability and processing performance.
  • Error Handling
    JSON's lack of detailed error handling mechanisms can make debugging more difficult when dealing with malformed data or parsing errors.

Presto DB videos

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JSON videos

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Parsing JSON Review - Part 1

More videos:

  • Review - Parsing JSON Review - Part 2
  • Review - JSon Foreign Vol.1 Review

Category Popularity

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

Presto DB

JSON

Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Database Tools
100 100%
Database Tools
0% 0
Software Development
0 0%
Software Development
100% 100

User comments

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Social recommendations and mentions

JSON 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.

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 / 11 days 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 / 11 days 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 / 26 days 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

JSON mentions (13)

  • The Last Breaking Change | JSON Schema Blog
    The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore you’re just wrong: YAML came out before JSON. Source: about 2 years ago
  • Why does wine give warnings about using 64bit prefixes, or has 32bit packages? Hasn't the world moved on from 32 bit a century ago?
    How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: over 2 years ago
  • “Ignore the f'ing haters ” And other lessons learned from creating a popular
    The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / over 2 years ago
  • Recording your JSON data to MCAP, a file format that support multiple serialization formats
    To help you make the transition, we’ve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: almost 3 years ago
  • replace \" with "
    What you need to probably do is to step back and learn the format for JSON, and the core data structures that you will find in most languages:. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Presto DB and JSON, 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.

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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.

Brilliant Database - Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.

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