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Hortonworks VS Apache Parquet

Compare Hortonworks VS Apache Parquet and see what are their differences

Hortonworks logo Hortonworks

Hadoop-Related

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
  • Hortonworks Landing page
    Landing page //
    2023-07-11
  • Apache Parquet Landing page
    Landing page //
    2022-06-17

Hortonworks videos

Hadoop Tutorial: Introduction to Hortonworks Sandbox

More videos:

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

Apache Parquet videos

No Apache Parquet videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Hortonworks and Apache Parquet)
Big Data
25 25%
75% 75
Databases
19 19%
81% 81
Data Dashboard
55 55%
45% 45
NoSQL Databases
0 0%
100% 100

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 19 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.

Hortonworks mentions (0)

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

Apache Parquet mentions (19)

  • [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: about 1 year ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: about 1 year ago
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What are some alternatives?

When comparing Hortonworks and Apache Parquet, you can also consider the following products

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.

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

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.

IBM Analytics Engine - Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.