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Azure Stream Analytics VS Apache RocketMQ

Compare Azure Stream Analytics VS Apache RocketMQ and see what are their differences

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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.

Apache RocketMQ logo Apache RocketMQ

Apache RocketMQ™ is an open source distributed messaging and streaming data platform. Latest release v4.5.2
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • Apache RocketMQ Landing page
    Landing page //
    2022-09-30

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

Apache RocketMQ videos

+ Add

Apache RocketMQ - Trillion Messaging in Practice - Von Gosling & Wang Xiaorui, Alibaba Inc.

Category Popularity

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

Azure Stream Analytics

Apache RocketMQ

Stream Processing
80 80%
Stream Processing
20% 20
Data Integration
0 0%
Data Integration
100% 100
Data Management
100 100%
Data Management
0% 0
Big Data
100 100%
Big Data
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache RocketMQ 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.

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.

Apache RocketMQ mentions (1)

  • Build a Custom DevOps Platform Based on RocketMQ Prometheus Exporter
    RocketMQ is a distributed message and streaming data platform featuring low latency, high performance, high reliability, trillions of capacity, and flexible extensibility. In other words, it consists of a broker server and a client. The client includes a message producer which sends messages to the broker server and a message consumer. Multiple consumers can form a consumer group to subscribe to and pull messages... Source: over 1 year ago

What are some alternatives?

When comparing Azure Stream Analytics and Apache RocketMQ, 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.

RabbitMQ - RabbitMQ is an open source message broker software.

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

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