Software Alternatives, Accelerators & Startups

Presto DB

Distributed SQL Query Engine for Big Data (by Facebook).

Presto DB

Presto DB Reviews and Details

This page is designed to help you find out whether Presto DB is good and if it is the right choice for you.

Screenshots and images

  • Presto DB Landing page
    Landing page //
    2023-03-18

Features & Specs

  1. High-Performance Query Engine

    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.

  2. 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.

  3. Versatility

    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.

  4. 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.

  5. 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.

  6. Extensible

    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Presto DB and what they use it for.
  • 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 / 7 months ago
  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms ๐Ÿ“ฆ
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / about 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 / about 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
  • 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 / about 4 years ago
  • Can a data warehouse be skipped?
    Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: over 4 years ago
  • why use Redshift if we can use S3 to store data and can connect with Quicksight for dashboarding?
    So there is Presto, which is a distributed SQL engine created by Facebook. Source: over 4 years ago
  • Understanding AWS Athena 101
    You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / almost 5 years ago
  • ETL tool for query building across multiple databases in Mongo DB
    Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 5 years ago
  • Rule-based Query Optimization
    Presto is a distributed query engine for big data. Like Apache Calcite, it uses rules to perform transformations. However, Presto doesn't have a cost-based search algorithm and relies only on heuristics when transitioning between optimization steps. See our previous blog for more details on Presto query optimizer. - Source: dev.to / about 5 years ago

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Is Presto DB good? This is an informative page that will help you find out. Moreover, you can review and discuss Presto DB here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.