Software Alternatives & Reviews
Register | Login

Apache Parquet VS MyAnalytics

Compare Apache Parquet VS MyAnalytics and see what are their differences

TramaTM
Protect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Apache Parquet logo Apache Parquet

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

MyAnalytics logo MyAnalytics

MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • MyAnalytics Landing page
    Landing page //
    2023-09-21

Category Popularity

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

Apache Parquet

MyAnalytics

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using Apache Parquet and MyAnalytics. For example, how are they different and which one is better?
Log in or Post with

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

MyAnalytics mentions (0)

We have not tracked any mentions of MyAnalytics yet. Tracking of MyAnalytics recommendations started around Mar 2022.

What are some alternatives?

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

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

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

Loading...