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Azure Stream Analytics vs. IBM Confluent

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Stream Analytics
Score 8.0 out of 10
N/A
Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.
$0.11
per hour with a 1 SU minimum
IBM Confluent
Score 9.1 out of 10
N/A
IBM Confluent helps enterprises stream, connect, process, govern and serve real-time data across hybrid environments.
$385
per month
Pricing
Azure Stream AnalyticsIBM Confluent
Editions & Modules
Standard
$0.11
per hour with a 1 SU minimum
Dedicated
$0.11
per hour with a 36 SU minimum
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
Offerings
Pricing Offerings
Azure Stream AnalyticsIBM Confluent
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAzure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources.Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).
More Pricing Information
Community Pulse
Azure Stream AnalyticsIBM Confluent
Features
Azure Stream AnalyticsIBM Confluent
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Azure Stream Analytics
6.1
1 Ratings
25% below category average
IBM Confluent
-
Ratings
Real-Time Data Analysis7.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources7.01 Ratings00 Ratings
Low Latency8.01 Ratings00 Ratings
Integrated Development Tools2.01 Ratings00 Ratings
Data wrangling and preparation7.01 Ratings00 Ratings
Linear Scale-Out5.01 Ratings00 Ratings
Data Enrichment7.01 Ratings00 Ratings
Best Alternatives
Azure Stream AnalyticsIBM Confluent
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Amazon SNS
Amazon SNS
Score 8.7 out of 10
Medium-sized Companies
IBM Confluent
IBM Confluent
Score 9.1 out of 10
Apache Kafka
Apache Kafka
Score 8.9 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.0 out of 10
Google Cloud Pub/Sub
Google Cloud Pub/Sub
Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Stream AnalyticsIBM Confluent
Likelihood to Recommend
7.0
(1 ratings)
10.0
(2 ratings)
Support Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Azure Stream AnalyticsIBM Confluent
Likelihood to Recommend
Microsoft
Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
Verified User
Anonymous
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IBM
If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.
Verified User
Anonymous
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Pros
Microsoft
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
Verified User
Anonymous
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IBM
  • Products work great.
  • Training is available.
  • Customer support is good.
Verified User
Anonymous
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Cons
Microsoft
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
Verified User
Anonymous
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IBM
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
Verified User
Anonymous
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Support Rating
Microsoft
No answers on this topic
IBM
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
Verified User
Anonymous
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Alternatives Considered
Microsoft
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
Verified User
Anonymous
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IBM
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
Verified User
Anonymous
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Return on Investment
Microsoft
  • Very nice roi while using it.
  • Multiple integration is the best functionality
Verified User
Anonymous
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IBM
  • It enables us to develop event driven application.
  • It increases our ability to handle streaming data.
  • It reduces latency of communication.
Verified User
Anonymous
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ScreenShots