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Composable Analytics VS Presto DB

Compare Composable Analytics VS Presto DB and see what are their differences

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Composable Analytics logo Composable Analytics

Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Composable Analytics Landing page
    Landing page //
    2022-04-06
  • Presto DB Landing page
    Landing page //
    2023-03-18

Composable Analytics videos

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World's #1st Data-Centric AIOps Platform | Composable Analytics for AIOps & Observability

Presto DB videos

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Category Popularity

0-100% (relative to Composable Analytics and Presto DB)

Composable Analytics

Presto DB

Development
100 100%
Development
0% 0
Data Dashboard
7 7%
Data Dashboard
93% 93
Business & Commerce
100 100%
Business & Commerce
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Composable Analytics 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 should be more popular than Composable Analytics. 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.

Composable Analytics mentions (1)

  • Ask HN: Who is hiring? (August 2021)
    - Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design. - Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases to the UI. - Data engineers and data scientists knowledgeable in developing and training data models and building... - Source: Hacker News / over 2 years ago

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
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What are some alternatives?

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

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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.

Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.

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.

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

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