Software Alternatives, Accelerators & Startups
Register | Login

Hazelcast VS Apache Flume

Compare Hazelcast VS Apache Flume and see what are their differences

AirDroid Business
AirDroid Business, an enterprise-grade MDM solution, is designed to enable businesses mobility and productivity through remote access and control, device provisioning, policy application and management, kiosk mode, and geofencing. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

Apache Flume logo Apache Flume

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • Apache Flume Landing page
    Landing page //
    2018-09-29

Hazelcast videos

+ Add

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 Flume videos

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

Add video

Category Popularity

0-100% (relative to Hazelcast and Apache Flume)

Hazelcast

Apache Flume

Databases
100 100%
Databases
0% 0
Log Management
0 0%
Log Management
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

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

Reviews

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

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 Flume Reviews

We have no reviews of Apache Flume yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Flume seems to be more popular. It has been mentiond 1 time 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 Flume mentions (1)

  • 7 Open-Source Log Management Tools that you may consider in 2023
    Apache Flume is an open-source log management tool designed to efficiently collect, aggregate, and transport large volumes of log data from various sources to a centralized data store, such as HDFS or Hbase. It excels in handling large amounts of log data in real-time and is highly scalable, able to handle the load from multiple servers, network devices, and applications. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Hazelcast and Apache Flume, 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.

Fluentd - Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.

memcached - High-performance, distributed memory object caching system

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.

Loading...