Software Alternatives & Reviews
Register | Login

Confluent VS Azure Stream Analytics

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

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

Confluent logo Confluent

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

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21

Confluent videos

+ Add

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?😩

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

Category Popularity

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

Confluent

Azure Stream Analytics

Stream Processing
62 62%
Stream Processing
38% 38
Big Data
71 71%
Big Data
29% 29
Data Management
61 61%
Data Management
39% 39
Analytics
55 55%
Analytics
45% 45

User comments

Share your experience with using Confluent and Azure Stream Analytics. For example, how are they different and which one is better?
Log in or Post with

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.

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

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

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

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...

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

Loading...