Software Alternatives & Reviews

SQream VS Apache Flume

Compare SQream VS Apache Flume and see what are their differences

SQream logo SQream

SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

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
  • SQream Landing page
    Landing page //
    2023-09-17

SQream is a data analytics acceleration platform built especially for massive data - from terabytes to petabytes. SQream takes queries down from days to hours and hours to minutes. The SQream platform provides the ability to analyze more data, faster, with multiple dimensions and cuts data preparation significantly by enabling ad-hoc querying on raw data. Leading global organizations in telecommunications, healthcare, ad-tech, retail and more rely on SQream to achieve critical business insights and potentially valuable BI across their massive data stores.

  • Apache Flume Landing page
    Landing page //
    2018-09-29

SQream videos

SQream DB v2020.1 - Product review and demo

More videos:

  • Review - Introducing SQream DB - The GPU-accelerated data warehouse for massive data
  • Review - SQream DB, GPU-accelerated data warehouse

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 SQream and Apache Flume)
Data Dashboard
100 100%
0% 0
Big Data
43 43%
57% 57
Log Management
0 0%
100% 100
Big Data Infrastructure
100 100%
0% 0

User comments

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

Social recommendations and mentions

Apache Flume might be a bit more popular than SQream. We know about 1 link to it since March 2021 and only 1 link to SQream. 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.

SQream mentions (1)

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 SQream and Apache Flume, you can also consider the following products

GridGain In-Memory Data Fabric - TheGridGain In-Memory Computing Platform is a comprehensive solution provides speed and scale for data intensive applications across any data store

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

Panoply - Panoply is a smart cloud data warehouse

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

CAKE - CAKE provides a SaaS-based solution for advertisers, publishers and networks to track, attribute and optimize their spend in real-time.

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