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Pipebird VS Presto DB

Compare Pipebird VS Presto DB and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

Pipebird logo Pipebird

Share data directly with customers' data warehouses or databases. Pipebird's open source infrastructure eliminates the need for your customers to use a third-party ETL provider to access data from you.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Pipebird Landing page
    Landing page //
    2022-09-07
  • Presto DB Landing page
    Landing page //
    2023-03-18

Category Popularity

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

Pipebird

Presto DB

Data Stores
100 100%
Data Stores
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Big Data Tools
100 100%
Big Data Tools
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Pipebird and Presto DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Presto DB seems to be more popular. It has been mentiond 6 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.

Pipebird mentions (0)

We have not tracked any mentions of Pipebird yet. Tracking of Pipebird recommendations started around Sep 2022.

Presto DB mentions (6)

  • 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 2 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: about 2 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: about 2 years ago
  • Understanding AWS Athena 101
    You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 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 3 years ago
View more

What are some alternatives?

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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.

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

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

Amazon Athena - Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

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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