Software Alternatives & Reviews

BlueData VS Apache Parquet

Compare BlueData VS Apache Parquet and see what are their differences

BlueData logo BlueData

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

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
  • BlueData Landing page
    Landing page //
    2023-06-13
  • Apache Parquet Landing page
    Landing page //
    2022-06-17

BlueData

Categories
  • Big Data
  • Big Data Infrastructure
  • Data Dashboard
  • Data Management
Website bluedata.com
Details $-

Apache Parquet

Categories
  • Databases
  • Big Data
  • Relational Databases
  • NoSQL Databases
Website parquet.apache.org
Details $

BlueData videos

HPE BlueData Software Demo | AI, Machine Learning and Data Science

More videos:

  • Review - Kumar Sreekanti, BlueData - #BigDataSV 2016 - #theCUBE

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 BlueData and Apache Parquet)
Big Data
28 28%
72% 72
Databases
0 0%
100% 100
Data Dashboard
55 55%
45% 45
Data Management
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.

BlueData mentions (0)

We have not tracked any mentions of BlueData yet. Tracking of BlueData 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: 4 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 / 11 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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What are some alternatives?

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

BitRefiney - Bit Refinery is an enterprise VMware and Big Data hosting provider.

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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.

Fujitsu Symfoware Analytics Server - Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

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