Software Alternatives & Reviews

Hazelcast VS Apache Parquet

Compare Hazelcast VS Apache Parquet and see what are their differences

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • Apache Parquet Landing page
    Landing page //
    2022-06-17

Hazelcast videos

Hazelcast Introduction and cluster demo

More videos:

  • Review - Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast
  • Demo - Hazelcast Cloud Enterprise - Getting Started Demo Video

Apache Parquet videos

No Apache Parquet videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Hazelcast and Apache Parquet)
Databases
54 54%
46% 46
NoSQL Databases
77 77%
23% 23
Big Data
0 0%
100% 100
Key-Value Database
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hazelcast and Apache Parquet

Hazelcast Reviews

HazelCast - Redis Replacement
Hazelcast IMDG provides a Discovery Service Provider Interface (SPI), which allows users to implement custom member discovery mechanisms to deploy Hazelcast IMDG on any platform. Hazelcast® Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

Apache Parquet Reviews

We have no reviews of Apache Parquet yet.
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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.

Hazelcast mentions (0)

We have not tracked any mentions of Hazelcast yet. Tracking of Hazelcast 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
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What are some alternatives?

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

memcached - High-performance, distributed memory object caching system

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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