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Platfora VS Presto DB

Compare Platfora VS Presto DB and see what are their differences

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Platfora logo Platfora

BI and Analytics Platform

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Platfora Landing page
    Landing page //
    2018-10-16
  • Presto DB Landing page
    Landing page //
    2023-03-18

Platfora

Categories
  • Data Dashboard
  • Database Tools
  • Data Science And Machine Learning
  • Big Data Analytics
Website support.platfora.com
Details $-
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Presto DB

Categories
  • Database Tools
  • Data Dashboard
  • Big Data Analytics
  • SQL
  • Big Data Tools
  • Big Data
  • SQL Query Engine
Website prestodb.io
Details $
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Platfora videos

+ Add

Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

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 Platfora and Presto DB)

Platfora

Presto DB

Data Dashboard
20 20%
Data Dashboard
80% 80
Development
100 100%
Development
0% 0
Database Tools
10 10%
Database Tools
90% 90
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Platfora 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.

Platfora mentions (0)

We have not tracked any mentions of Platfora yet. Tracking of Platfora recommendations started around Mar 2021.

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: over 2 years ago
View more

What are some alternatives?

When comparing Platfora and Presto DB, 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.

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

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.

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

Rakam - Custom analytics platform

Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.

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