Sold by: Confluent
Deployed on AWS
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The easiest way to run Kafka on AWS. Confluent Cloud is a cloud-native, complete data streaming platform built for real-time processing and data analytics on AWS. Powered by Apache Kafka®, Apache Flink®, and Confluent's own cloud-native Kafka engine, Kora, it offers serverless stream processing, 60% lower TCO than self-managed Kafka, and 120+ pre-built connectors for services like Amazon S3, AWS Lambda, Amazon Redshift, and Amazon DynamoDB. Start fast with $1,000 in free credits and hands-on support from Confluent's Cloud Engineers to accelerate your proof of concept and power modern applications with a complete, fully managed solution.
4.4
Overview
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Confluent Cloud: Real-Time Data Streaming for AI, Analytics & Modern Apps
Maximize your Kafka on AWS, minimize your spend. Confluent Cloud is a fully managed, cloud-native, complete data streaming platform built on Apache Kafka®, Apache Flink®, and Apache Iceberg™.
It's 60% more cost-effective than self-managed Kafka, with autoscaling, 120+ pre-built connectors, and enterprise-grade support. It delivers elastic, resilient, and performant event streaming - powering real-time AI, microservices, machine learning, and analytics while helping teams modernize faster in the cloud. Get started with $1,000 in free credits - bill directly through AWS Marketplace.
Built for AWS, Any Way You Need It.
- Expert Support with Enterprise SLAs: Ensure high availability and offload Kafka operations with 99.99% uptime SLA coverage for core Kafka operations - ensuring resilience, availability, and faster resolution.
- Stream Processing with Apache Flink: Go from raw data to insights faster using a serverless Flink service to filter, join, and enrich data in real-time - no ops needed.
- Real-Time Analytics with Tableflow: Convert Kafka topics to Apache Iceberg tables to power downstream analytics across AWS services like Glue, Redshift, Athena, EMR, and SageMaker Lakehouse.
- Deeply Integrated with AWS Services: 120+ pre-built connectors make it easy to stream data to and from Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, AWS Lambda, and more - right from the AWS console. Confluent Cloud is billed directly through the AWS Marketplace, so you can draw down on your existing AWS commit and skip the paperwork.
Free $1000 Credit to Build Your PoC
Start for free with $1,000 in credits (includes $400 instantly and $600 via promo code) to build your proof of concept or a demo consumer streaming app for your team.
Highlights
- 60% Lower Total Cost of Ownership: Fully managed, elastic, and performant clusters make Confluent Cloud cheaper to run and manage than self-managed Kafka - giving you a more cost-effective alternative to managed Kafka services.
- Proof-of-Concept Support Included: Personalized architecture reviews, solutions brainstorming, connector setup assistance, and technical guidance from Confluent Engineers to help you design the right data streaming architecture for your needs.
- Complete Data Streaming Platform on AWS: Go beyond Kafka with 120+ pre-built source and sink connectors, stream processing with Apache Flink, real-time analytics with Apache Iceberg, Data Governance, and Security - all in one cloud-native solution.
Details
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Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Confluent Consumption Unit | $0.01 |
Dimensions summary
This listing bills through a single dimension: the Confluent Consumption Unit. It uses a pay-as-you-go model, so you pay only for the resources you actually use. There are no fixed tiers or upfront quantities to select. Your charges accumulate as you stream, connect, process, and govern data. Usage across Kafka clusters, connectors, Apache Flink stream processing, and Stream Governance all draws from this one consumption unit. Costs scale with your consumption over time. This structure lets your spend rise and fall with actual workload rather than a preset commitment.
Top-of-mind questions for buyers
It is a common billing unit that all consumption draws from. Kafka clusters bill for elastic capacity units per hour, networking per GB, and storage per GB. Connectors bill by throughput and a per-task rate. Stream processing bills by processing units per minute. Governance bills per environment per hour.
Clusters autoscale up to meet demand and back down as workloads fall, with no manual action. You pay only for the resources used when you use them. So your bill rises during peaks and drops when activity slows, without provisioning fixed capacity.
Charges apply simultaneously across streaming, connectors, stream processing, and governance. Streaming clusters bill by capacity, networking, and storage. High data throughput usually drives cost for busy pipelines. Heavy stream processing adds per-minute compute charges. All charges appear together on one invoice tied to actual usage.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
To learn more about our support offerings please visit: https://confluent.io/confluent-cloud/support Technical assistance from the worlds foremost Apache Kafka experts with over 1 million hours of expertise with a paid support plan. Support plans can be added to your subscription directly from the Confluent Cloud web UI. Support portal accessible within the Confluent Cloud web UI.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Integration Connectors
120+ pre-built source and sink connectors for AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics Platform
Apache Iceberg integration to convert Kafka topics into tables for downstream analytics across AWS Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Service Availability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and faster issue resolution
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling Kafka clusters built on Apache Kafka and Confluent's cloud-native Kora engine
Kafka API Compatibility
Full Apache Kafka API compatibility enabling seamless integration with existing Kafka-based applications and tools
Managed Connectors
300+ built-in connectors to popular data systems including Snowflake, MongoDB, Amazon S3, SQS, SNS, Kinesis, Lambda, Bedrock, DynamoDB, and CDC for MySQL and PostgreSQL on RDS
Tiered Storage Architecture
Automatic tiered storage that rolls data from brokers to object storage, delivering up to 8-9x savings in long-term data retention costs
Deployment Flexibility
Multiple deployment options including Bring-Your-Own-Cloud (BYOC), Dedicated, and Serverless cloud products with zero-downtime upgrades and patching
Service Reliability
Uptime SLA of 99.99% for Dedicated deployments and 99.9% for Serverless deployments with automatic cluster balancing and built-in monitoring
Distributed Messaging and Streaming Platform
Apache Pulsar open-source distributed messaging and streaming platform with support for both messaging and streaming use cases
Multi-Language Client Library Support
Rich client library ecosystem with support for C/C++, Python, Java, GO, JavaScript, Rust, and additional programming languages
Kafka Compatibility Layer
Kafka On StreamNative (KSN) offering enabling compatibility between Pulsar and Kafka ecosystems
Cloud Storage Integration
Lakehouse Storage support with integration to AWS S3, supporting Apache Iceberg and Delta Lake formats for data offloading and real-time analytics
Serverless Functions and Event Processing
Pulsar Functions enabling event-driven applications and real-time data processing capabilities
Standard contract
No
No
Customer reviews
Financial Services
Confluent Is Easy to Use
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
Confluent is ease of Use. Ease of implementation
What do you dislike about the product?
Customer support, Number of Features
What problems is the product solving and how is that benefiting you?
We use Confluent Kafka for event streaming and API events.
Ramiro A.
Integrations to Multiple Destinations with an Agnostic Approach
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
The ability to generate integration capabilities from one producer to multiple destinations enhances the agnostic integration capability.
What do you dislike about the product?
It should be more aligned with current integration layers like APP Connect Enterprise.
What problems is the product solving and how is that benefiting you?
Capture events and generate a stream of them; multiple consumers can take action.
tomi m.
User Review
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
Documentation and structure is very good. Informative to all
What do you dislike about the product?
Hard to get summarize the doccs. It is having lot of information
What problems is the product solving and how is that benefiting you?
Some time it slows down for long process. Would it support multi threading or parallel processing
Purushottam C.
Confluent Streamhouse Makes Building Lakehouse Pipelines Easy.
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
setting up complete pipelines for lake house or data lake with confluent streamhouse
What do you dislike about the product?
not really great for CDC. Change capture at source does not really work until data is in lake.
What problems is the product solving and how is that benefiting you?
Near real time event data processing.
Banking
Enterprise-Ready Solution That Scales with Confidence
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
Enterprise readiness, important features.
What do you dislike about the product?
Support for non critical issues, and resolve times
What problems is the product solving and how is that benefiting you?
Integration