Software Alternatives, Accelerators & Startups

Apache Tez VS Presto DB

Compare Apache Tez VS Presto DB and see what are their differences

Apache Tez logo Apache Tez

Apache Tez is aimed at building an application framework which allows for a complex directed-acyclic-graph of tasks for processing data.

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • Apache Tez Landing page
    Landing page //
    2019-11-10
  • Presto DB Landing page
    Landing page //
    2023-03-18

Category Popularity

0-100% (relative to Apache Tez and Presto DB)
Databases
19 19%
81% 81
Data Dashboard
1 1%
99% 99
Big Data
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

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

Apache Tez mentions (1)

  • In One Minute : Hadoop
    Tez is an extensible framework for building high performance batch and interactive data processing applications, coordinated by YARN. - Source: dev.to / over 1 year 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 / almost 3 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 Apache Tez 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.

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

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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.