Software Alternatives & Reviews
Register | Login

Azure Stream Analytics VS Hadoop

Compare Azure Stream Analytics VS Hadoop and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • Hadoop Landing page
    Landing page //
    2021-09-17

Azure Stream Analytics videos

+ Add

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Azure Stream Analytics and Hadoop)

Azure Stream Analytics

Hadoop

Stream Processing
72 72%
Stream Processing
28% 28
Databases
0 0%
Databases
100% 100
Data Management
100 100%
Data Management
0% 0
Big Data
35 35%
Big Data
65% 65

User comments

Share your experience with using Azure Stream Analytics and Hadoop. 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 Azure Stream Analytics and Hadoop

Azure Stream Analytics Reviews

We have no reviews of Azure Stream Analytics yet.
Be the first one to post

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 15 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.

Azure Stream Analytics mentions (0)

We have not tracked any mentions of Azure Stream Analytics yet. Tracking of Azure Stream Analytics recommendations started around Mar 2021.

Hadoop mentions (15)

View more

What are some alternatives?

When comparing Azure Stream Analytics and Hadoop, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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

Kibana - Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

Loading...