Confluent vs. IBM StreamSets

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Confluent
Score 9.8 out of 10
N/A
Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.
$385
per month
IBM StreamSets
Score 8.2 out of 10
N/A
IBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.N/A
Pricing
ConfluentIBM StreamSets
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
No answers on this topic
Offerings
Pricing Offerings
ConfluentIBM StreamSets
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
ConfluentIBM StreamSets
Features
ConfluentIBM StreamSets
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Confluent
9.1
2 Ratings
13% above category average
IBM StreamSets
-
Ratings
Real-Time Data Analysis10.02 Ratings00 Ratings
Visualization Dashboards8.02 Ratings00 Ratings
Data Ingestion from Multiple Data Sources10.02 Ratings00 Ratings
Low Latency9.02 Ratings00 Ratings
Integrated Development Tools8.02 Ratings00 Ratings
Linear Scale-Out9.02 Ratings00 Ratings
Data Enrichment10.01 Ratings00 Ratings
Best Alternatives
ConfluentIBM StreamSets
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.3 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.8 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ConfluentIBM StreamSets
Likelihood to Recommend
10.0
(2 ratings)
9.0
(1 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
ConfluentIBM StreamSets
Likelihood to Recommend
Confluent
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.
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IBM
When you are dealing with a data warehouse and want to find an easy way to integrate applications and expose data in real-time, then IBM StreamSets is the best tool to go for. I'm using it for the same purpose in my applications. This tool will be well-suited for someone with a proper technical background. Though IBM StreamSets UI is mostly drag and drop, advanced configurations require technical expertise or support to do the initial setup.
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Pros
Confluent
  • Products work great.
  • Training is available.
  • Customer support is good.
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IBM
  • It makes building data pipelines quite super intuitive even for non coders.
  • Ir also handles real time data ingestion effortlessly so I always have up to date information for my reports.
  • It's great at monitoring data quality as well.
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Cons
Confluent
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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IBM
  • Where the person's skillsets in data analysis is not of an expert.
  • Data monitoring and analysis.
  • Customer data for better customer acquisition
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Likelihood to Renew
Confluent
No answers on this topic
IBM
IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
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Usability
Confluent
No answers on this topic
IBM
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
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Support Rating
Confluent
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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IBM
Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
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Implementation Rating
Confluent
No answers on this topic
IBM
I was not involved in the implementation
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Alternatives Considered
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 scale options and cost to run it was more than financially viable as a platform solution to our global operations.
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IBM
the IBM solution can be considered a good player in the specific perimeter of application because its main functionalities are working well, are easy to use, and complete. it allows also a good degree of freedom when it comes to personalization of pipelines and streams, and customization of data ingestion methodologies.
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Return on Investment
Confluent
  • It enables us to develop event driven application.
  • It increases our ability to handle streaming data.
  • It reduces latency of communication.
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IBM
  • it reduced the time I spent managing and updating pipelines when data formats changed
  • it saved us from building everything from scratch by making data movement between systems easier
  • it helps scale workflows as data volume grows, without much extra effort
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ScreenShots