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Apache Parquet VS Vertica

Compare Apache Parquet VS Vertica 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.

Vertica logo Vertica

Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • Vertica Landing page
    Landing page //
    2023-09-19

Apache Parquet videos

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Vertica videos

A $100 mouse you hold like THIS?? - Logitech MX Vertical Review

More videos:

  • Review - Public preview of Tower C at M Vertica by Mah Sing
  • Demo - Vertica Demo: Introduction to Vertica In-database Machine Learning

Category Popularity

0-100% (relative to Apache Parquet and Vertica)
Databases
41 41%
59% 59
Big Data
55 55%
45% 45
NoSQL Databases
37 37%
63% 63
Cloud Hosting
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 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: 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
  • 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: over 1 year ago
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Vertica mentions (0)

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

What are some alternatives?

When comparing Apache Parquet and Vertica, 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.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

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

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

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.

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC