IBM Confluent vs. Superstream

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Confluent
Score 9.1 out of 10
N/A
IBM Confluent Platform for Z and LinuxONE is an enterprise event streaming platform designed to run on Linux on IBM Z and LinuxONE environments. It enables organizations to create, manage, and process real-time data streams using Apache Kafka-based technologies. The platform provides capabilities for event ingestion, data integration, stream processing, schema management, connectors, and operational management. It supports deployment models including virtual machines, containers, and Kubernetes…
$0
Superstream
Score 0.0 out of 10
N/A
Superstream Is An AI-based engine that reduces Kafka expenses and boosts its performance without changing a single component or an existing Kafka.N/A
Pricing
IBM ConfluentSuperstream
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
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Offerings
Pricing Offerings
IBM ConfluentSuperstream
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
IBM ConfluentSuperstream
Considered Both Products
IBM Confluent
Chose IBM Confluent
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 …
Chose IBM Confluent
We chose to use the Confluent Platform because they provide enterprise-grade customer service support. Whenever we have trouble setting up or using the service, we can create a ticket for them and it will be resolved pretty fast. Kafka is the open-source software that comes …
Superstream

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Best Alternatives
IBM ConfluentSuperstream
Small Businesses

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Medium-sized Companies

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IBM Turbonomic
IBM Turbonomic
Score 8.7 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.1 out of 10
vRealize Operations (discontinued)
vRealize Operations (discontinued)
Score 9.0 out of 10
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User Ratings
IBM ConfluentSuperstream
Likelihood to Recommend
10.0
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM ConfluentSuperstream
Likelihood to Recommend
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
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Pros
  • Products work great.
  • Training is available.
  • Customer support is good.
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Cons
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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Support Rating
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.
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Alternatives Considered
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.
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Return on Investment
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
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ScreenShots