Software Alternatives & Reviews

Apache Parquet VS Alteryx

Compare Apache Parquet VS Alteryx 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.

Alteryx logo Alteryx

Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • Alteryx Landing page
    Landing page //
    2023-07-15

Apache Parquet videos

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Alteryx videos

Why Alteryx?

More videos:

  • Review - Alteryx: The best analytics program in 2018?
  • Tutorial - Alteryx vs Excel | Alteryx Excel | Alteryx Tutorial | Alteryx for Beginners

Category Popularity

0-100% (relative to Apache Parquet and Alteryx)
Databases
100 100%
0% 0
Data Dashboard
4 4%
96% 96
Big Data
100 100%
0% 0
Business Intelligence
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Parquet and Alteryx

Apache Parquet Reviews

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Alteryx Reviews

Top 5 AWS Glue Alternatives: Best ETL Tools
Alteryx provides its own proprietary format, i.e., data that is ordered and stored according to a particular encoding scheme designed by the company, which is not disclosed. Hence, exporting your results to a different visualization program like Tableau or Microsoft Excel is not possible.
Source: hevodata.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Alteryx offers data science and machine learning functionality via a suite of software products. Headlined by Alteryx Designer which automates data preparation, data blending, reporting, predictive analytics, and data science, the self-service platform touts more than 260 drag-and-drop building blocks. Alteryx lets users see variable relationships and...

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.

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: 5 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 / 12 months 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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Alteryx mentions (0)

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

What are some alternatives?

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

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

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

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.