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Azure Stream Analytics VS dispy

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

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
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Azure Stream Analytics logo Azure Stream Analytics

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

dispy logo dispy

dispy is a Python framework for parallel execution of computations by distributing them across...
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • dispy Landing page
    Landing page //
    2023-04-23

Azure Stream Analytics videos

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Azure Stream Analytics

More videos:

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

dispy videos

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Category Popularity

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

Azure Stream Analytics

dispy

Stream Processing
86 86%
Stream Processing
14% 14
Big Data
77 77%
Big Data
23% 23
Data Management
100 100%
Data Management
0% 0
Databases
0 0%
Databases
100% 100

User comments

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What are some alternatives?

When comparing Azure Stream Analytics and dispy, 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 Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Hadoop - Open-source software for reliable, scalable, distributed computing

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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