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Apache Parquet VS Hortonworks

Compare Apache Parquet VS Hortonworks and see what are their differences

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

Hortonworks logo Hortonworks

Hadoop-Related
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • Hortonworks Landing page
    Landing page //
    2023-07-11

Apache Parquet videos

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Hortonworks videos

Hadoop Tutorial: Introduction to Hortonworks Sandbox

More videos:

  • Review - A New Era - Hortonworks and Cloudera
  • Review - Hortonworks SmartSense data capture and recommendations.

Category Popularity

0-100% (relative to Apache Parquet and Hortonworks)
Databases
82 82%
18% 18
Big Data
76 76%
24% 24
Data Dashboard
0 0%
100% 100
NoSQL Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Parquet seems to be more popular. It has been mentiond 20 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 Parquet mentions (20)

  • Shades of Open Source - Understanding The Many Meanings of "Open"
    It's this kind of certainty that underscores the vital role of the Apache Software Foundation (ASF). Many first encounter Apache through its pioneering project, the open-source web server framework that remains ubiquitous in web operations today. The ASF was initially created to hold the intellectual property and assets of the Apache project, and it has since evolved into a cornerstone for open-source projects... - Source: dev.to / 6 days ago
  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
  • Demystifying Apache Arrow
    Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / about 1 year ago
  • Parquet: more than just "Turbo CSV"
    Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago
  • Beginner question about transformation
    You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: over 1 year ago
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Hortonworks mentions (0)

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

What are some alternatives?

When comparing Apache Parquet and Hortonworks, 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.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Microsoft Azure HDInsight - Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.