Software Alternatives & Reviews

Apache Apex VS Azure Stream Analytics

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

Apache Apex logo Apache Apex

Apache Apex is an enterprise-grade unified stream and batch processing engine.

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.
  • Apache Apex Landing page
    Landing page //
    2021-09-30
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21

Apache Apex videos

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Azure Stream Analytics videos

Azure Stream Analytics

More videos:

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

Category Popularity

0-100% (relative to Apache Apex and Azure Stream Analytics)
Big Data
31 31%
69% 69
Stream Processing
0 0%
100% 100
Data Warehousing
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Apex 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.

Apache Apex mentions (1)

  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago

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.

What are some alternatives?

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

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

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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