Software Alternatives & Reviews

Streamdata.io VS Azure Stream Analytics

Compare Streamdata.io VS Azure Stream Analytics and see what are their differences

Streamdata.io logo Streamdata.io

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.
  • Streamdata.io Landing page
    Landing page //
    2023-04-02
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21

Streamdata.io

Categories
  • Big Data
  • Databases
  • Analytics
  • Stream Processing
Website axway.com

Azure Stream Analytics

Categories
  • Stream Processing
  • Data Management
  • Big Data
  • Analytics
Website azure.microsoft.com

Streamdata.io 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 Streamdata.io and Azure Stream Analytics)
Stream Processing
19 19%
81% 81
Big Data
26 26%
74% 74
Data Management
0 0%
100% 100
Databases
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Streamdata.io 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

Leo Platform - Leo enables teams to innovate faster by providing visibility and control for data streams.

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