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Azure Stream Analytics VS Confluent

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

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

Azure Stream Analytics logo Azure Stream Analytics

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

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • Confluent Landing page
    Landing page //
    2023-10-22

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

Confluent videos

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1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Category Popularity

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

Azure Stream Analytics

Confluent

Stream Processing
37 37%
Stream Processing
63% 63
Data Management
37 37%
Data Management
63% 63
Big Data
29 29%
Big Data
71% 71
Analytics
45 45%
Analytics
55% 55

User comments

Share your experience with using Azure Stream Analytics and Confluent. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Confluent 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.

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago

What are some alternatives?

When comparing Azure Stream Analytics and Confluent, 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.

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.

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

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

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

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