Software Alternatives & Reviews
Register | Login

Apache AsterixDB VS Apache Parquet

Compare Apache AsterixDB VS Apache Parquet and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Apache AsterixDB logo Apache AsterixDB

Apache AsterixDB is a scalable, open source Big Data Management System.

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
  • Apache AsterixDB Landing page
    Landing page //
    2018-10-02
  • Apache Parquet Landing page
    Landing page //
    2022-06-17

Category Popularity

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

Apache AsterixDB

Apache Parquet

Big Data
21 21%
Big Data
79% 79
Databases
0 0%
Databases
100% 100
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Data Management
100 100%
Data Management
0% 0

User comments

Share your experience with using Apache AsterixDB and Apache Parquet. 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 AsterixDB mentions (0)

We have not tracked any mentions of Apache AsterixDB yet. Tracking of Apache AsterixDB 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: 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

What are some alternatives?

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

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

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

RJ Metrics - RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Loading...