Software Alternatives, Accelerators & Startups

GPU.JS VS Presto DB

Compare GPU.JS VS Presto DB and see what are their differences

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.

GPU.JS logo GPU.JS

Single-file JavaScript library for GPU acceleration

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • GPU.JS Landing page
    Landing page //
    2021-09-20
  • Presto DB Landing page
    Landing page //
    2023-03-18

GPU.JS features and specs

No features have been listed yet.

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.

GPU.JS videos

GPU.js - GPGPU in your browser

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 GPU.JS and Presto DB)
Javascript UI Libraries
100 100%
0% 0
Data Dashboard
0 0%
100% 100
JavaScript Framework
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

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

GPU.JS mentions (10)

  • Chrome Ships WebGPU
    How will this compare to Gpu.js? https://gpu.rocks/. - Source: Hacker News / about 2 years ago
  • New Release: 0 A.D. Alpha 26: Zhuangzi (Open Source Ancient Warfare RTS)
    Https://gpu.rocks/#/ Sorry, this is barely gameplay related, just interested if that could be kept synced. - Source: Hacker News / over 2 years ago
  • Show HN: GPU-accelerated “lava lamp” based on universal function approximator
    You can refresh the page to get a different random generator function. This code uses the great gpu.js library (https://gpu.rocks) to speed things up. The basic idea is to generate colors for each pixel at each given time step by running a randomly-generated function. The function is influenced by the concept of neural nets as universal function approximators. Basically, it takes the pixel x/y coordinates and some... - Source: Hacker News / over 3 years ago
  • Use your B̶R̶A̶I̶N̶ GPU
    Website nowadays have high end graphics and requires a lot of processing power so it might be a good IDEA to utilize the power of GPU. It might sound complicated but its really simple actually. Because there are many library out there to help you out. For example GPU.js. It also switch backs to regular mode if the user device don't have a GPU so no worries there. So get started now by reading the DOCS. - Source: dev.to / over 3 years ago
  • Gentle introduction to GPUs inner workings
    I know there's a lot of Javascript developers on this forum. If you want to get into GPU programming, I highly recommend gpu.js [1] library as a jumping off point. It's amazing how powerful computers are and how we squander most our cycles. [1] https://gpu.rocks/#/ Disclaimer: I have one un-merged PR in the gpu.js repo. - Source: Hacker News / over 3 years ago
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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 / 16 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 / 16 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 / about 1 month 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
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What are some alternatives?

When comparing GPU.JS and Presto DB, you can also consider the following products

gpgpu.js - JavaScript library to use the GPU in the browser through WebGL

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.

WebMonkeys - JavaScript library for massively parallel GPU programming

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.

The Battle for Wesnoth - The Battle for Wesnoth is a turn-based tactical strategy game with a high fantasy theme.

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