TrustRadius

Amazon Kinesis vs. Confluent

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Kinesis
Score 9.6 out of 10
N/A
Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.
$0.01
per GB data ingested / consumed
Confluent
Score 9.9 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.
$0
Pricing
Amazon KinesisConfluent
Editions & Modules
Amazon Kinesis Video Streams
$0.00850
per GB data ingested / consumed
Amazon Kinesis Data Streams
$0.04
per hour per stream
Amazon Kinesis Data Analytics
$0.11
per hour
Amazon Kinesis Data Firehose
tiered pricing starting at $0.029
per month first 500 TB ingested
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
Offerings
Pricing Offerings
Amazon KinesisConfluent
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
Amazon KinesisConfluent
Considered Both Products
Amazon Kinesis
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Chose Amazon Kinesis
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of …
Verified User
Anonymous
Chose Amazon Kinesis
The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use …
Verified User
Anonymous
Chose Amazon Kinesis
Actually we didn't select Kinesis, we were forced into using it because SQS wasn't yet supported by Lambda. Unlike Kinesis, SQS supports both FIFO and standard queues which let us control order of events processed, as well as handle retry logic, failover logic, and set up …
Confluent
Verified User
Anonymous
Chose 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 …
Verified User
Anonymous
Chose 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 …
Features
Amazon KinesisConfluent
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Amazon Kinesis
8.3
Ratings
3% above category average
Confluent
9.1
Ratings
13% above category average
Real-Time Data Analysis10.00 Ratings10.00 Ratings
Data Ingestion from Multiple Data Sources9.00 Ratings10.00 Ratings
Low Latency9.00 Ratings9.00 Ratings
Integrated Development Tools9.00 Ratings8.00 Ratings
Data wrangling and preparation10.00 Ratings00 Ratings
Linear Scale-Out6.10 Ratings9.00 Ratings
Data Enrichment5.00 Ratings10.00 Ratings
Visualization Dashboards00 Ratings8.00 Ratings
Best Alternatives
Amazon KinesisConfluent
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.9 out of 10
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KinesisConfluent
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Support Rating
7.1
(0 ratings)
10.0
(0 ratings)
User Testimonials
Amazon KinesisConfluent
Likelihood to Recommend
Perfect for real-time data processing and streaming. Also, there's no need for any specific setup - you just start using it immediately and it easily integrates with the rest of AWS capabilities (like Redshift), although integration with Lambda could be better. You can make your overall analytics landscape way simpler with Kineses even if you have non-Amazon solutions like Tableau. It all integrates really well!
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Pros
  • Integrating with other Amazon services
  • Scaling requests
  • Totally serverless platform
  • Simple management
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
  • Products work great.
  • Training is available.
  • Customer support is good.
Verified User
Anonymous
Read full review
Cons
  • Improve integration with AWS Lambda
  • Some duplicate records coming from the stream
Verified User
Anonymous
Read full review
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
Verified User
Anonymous
Read full review
Support Rating
The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
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
Read full review
Alternatives Considered
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of programming to accomplish the same as Kinesis. In fact, our solution employed the four elements for different tasks but using Kinesis as the message bus.
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
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
Read full review
Return on Investment
  • Caused us to need to re-engineer some basic re-try logic
  • Caused us to drop some content without knowing it
  • Made monitoring much more difficult
  • We eventually switched back to SQS because Kinesis is not the same as a Queue system
Verified User
Anonymous
Read full review
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
Verified User
Anonymous
Read full review
ScreenShots