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Presto DB VS Polynote

Compare Presto DB VS Polynote and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Polynote logo Polynote

The polyglot notebook with first-class Scala support.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Polynote Landing page
    Landing page //
    2023-10-19

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.

Polynote features and specs

  • Polyglot Support
    Polynote allows the use of multiple programming languages within the same notebook, supporting interoperability between languages like Scala, Python, SQL, and more.
  • Reactive Dependency Management
    The kernel handles dependency updates reactively, making sure that the notebook's state is always consistent with the code's requirements without manual intervention.
  • Integrated Version Control
    Polynote offers built-in versioning and history tracking of notebook changes, which facilitates better management and collaboration on projects.
  • Rich Output Rendering
    It supports rich outputs, including interactive plots and visualizations, enhancing the ability to analyze and interpret complex data within the notebook.
  • Structured Data Support
    Polynote has a native understanding of structured data, allowing seamless manipulation and display of data frames which is particularly beneficial for data analysis tasks.

Possible disadvantages of Polynote

  • Complex Setup
    Setting up Polynote can be challenging due to its dependencies and configuration requirements, potentially posing a barrier to entry for new users.
  • Limited Community Support
    As a relatively new tool, Polynote has a smaller community and fewer resources compared to more established alternatives like Jupyter, which can be a drawback when seeking support or extensions.
  • Performance Overheads
    Due to its polyglot nature and the complexity of maintaining cross-language kernels, users may experience performance overheads, particularly with large-scale data sets.
  • Functionality Gaps
    Polynote may lack some functionality or user-friendly features found in more mature notebook environments, which might hinder productivity for advanced users.
  • Resource Intensive
    The need to run multiple language kernels simultaneously can lead to higher resource consumption, requiring robust infrastructure to function optimally.

Presto DB videos

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Polynote videos

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Netflix- Polynote

Category Popularity

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

Presto DB

Polynote

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Database Tools
100 100%
Database Tools
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Presto DB and Polynote

Presto DB Reviews

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Polynote Reviews

The Best ML Notebooks And Infrastructure Tools For Data Scientists
Open-sourced by Netflix, Polynote is a notebook preferred for Scala. It supports the mixing of multiple languages in one notebook and allows easy data sharing. Since it shares the same file extension as Jupyter notebook, Polynote can be version controlled and displayed on Github. Thanks to editing features such as interactive autocomplete and rich text editing, the interface...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Presto DB should be more popular than Polynote. 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.

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 / 10 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 / 25 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

Polynote mentions (1)

  • Apache Zeppelin
    If you're looking for more modern notebooks supporting Scala (and Spark): - https://almond.sh - https://polynote.org Toree is mostly dead but might also get a Scala 2.13 release now that Spark 4.0 is approaching. - Source: Hacker News / 8 months ago

What are some alternatives?

When comparing Presto DB and Polynote, 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.

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.

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

Boostnote - Boostnote is an open-source note-taking​ app.

nteract - nteract is a desktop application that allows you to develop rich documents that contain prose...

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

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