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Apache Parquet VS BitRefiney

Compare Apache Parquet VS BitRefiney and see what are their differences

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Apache Parquet logo Apache Parquet

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

BitRefiney logo BitRefiney

Bit Refinery is an enterprise VMware and Big Data hosting provider.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • BitRefiney Landing page
    Landing page //
    2023-09-18

Category Popularity

0-100% (relative to Apache Parquet and BitRefiney)

Apache Parquet

BitRefiney

Databases
100 100%
Databases
0% 0
Data Management
0 0%
Data Management
100% 100
Big Data
79 79%
Big Data
21% 21
NoSQL Databases
100 100%
NoSQL Databases
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: 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
View more

BitRefiney mentions (0)

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

What are some alternatives?

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

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

BlueData - BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

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

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

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