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    Apache Kafka® & Apache Flink® on Confluent Cloud™ - Pay As You Go

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    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.

    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.

    Free Personalized Onboarding and Engineering Support

    All Confluent Cloud signups via AWS Marketplace get white-glove onboarding, architecture reviews, and on-demand training from Confluent's Cloud Engineers - at no additional cost.
    *business email address is required to qualify

    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.

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    Deployed on AWS

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    Apache Kafka® & Apache Flink® on Confluent Cloud™ - Pay As You Go

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    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.

    Usage costs (1)

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    Dimension
    Cost/unit
    Confluent Consumption Unit
    $0.01

    AI Insights

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    Dimensions summary

    The Confluent Consumption Unit (CCU) is a standardized measurement for resource usage across Confluent Cloud services on AWS Marketplace. CCU representes a translation or conversion of total $ spend net of discount on various Confluent Cloud resources such as CKUs, throughput, storage, as well as other services like connector tasks, CFUs, schema charge etc. The total $ spent net of discounts is converted to CCUs using the listed rate of $0.01/CCU on the listing. This consumption-based model allows for flexible scaling of Kafka infrastructure without upfront commitments.

    Top-of-mind questions for buyers like you

    How is Confluent's usage-based pricing calculated on AWS Marketplace?
    Confluent Cloud pricing is based on actual resource consumption across Confluent's product offerings. The total consumption net of discounts in $ is then converted to Confluent Consumption Units (CCUs) using the conversion rate listed on the listing. The charges are calculated hourly and billed through your AWS account.
    Are there any minimum commitment requirements for Confluent on AWS Marketplace?
    There's no upfront commitment required. Customers can start small and scale their usage as needed, paying only for the resources they consume. Customers can choose to commit with Confluent in exchange for additional discounts.
    What additional costs should I consider beyond the listed Confluent Consumption Unit price?
    The CCU is only a conversion of the underlying charges. To understand the details, please visit the Billing and Payments section in the CC UI or use the Cost API to download the details of your usage across different CC products and services.

    Vendor refund policy

    Please contact us at awsteam@confluent.io 

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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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.

    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.

    Product comparison

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    Accolades

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    Top
    10
    In Streaming solutions
    Top
    10
    In Streaming solutions, Storage, Databases & Analytics Platforms
    Top
    25
    In Streaming solutions, Data Integration

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
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    Ease of use
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    Overview

     Info
    AI generated from product descriptions
    Stream Processing Framework
    Native integration of Apache Flink for real-time data filtering, joining, and enrichment without operational overhead
    Data Streaming Architecture
    Cloud-native platform built on Apache Kafka, Apache Flink, and Apache Iceberg for event streaming and data processing
    Connector Ecosystem
    Supports 120+ pre-built connectors for seamless data integration with AWS services like S3, Redshift, DynamoDB, and Lambda
    High Availability Infrastructure
    Enterprise-grade service with 99.99% uptime SLA and autoscaling capabilities for resilient data streaming
    Real-Time Analytics Transformation
    Capability to convert Kafka topics to Apache Iceberg tables for downstream analytics across multiple AWS data services
    Event Streaming Platform
    Fully managed event streaming platform with Kafka API compatibility and support for real-time and AI applications
    Connector Ecosystem
    Comprehensive collection of 300+ built-in connectors to popular data systems including Snowflake, MongoDB, Amazon S3, and change data capture for databases
    Deployment Flexibility
    Supports multiple deployment models including Serverless, Dedicated, and Bring-Your-Own-Cloud (BYOC) options with enterprise-grade security
    Performance Optimization
    Engineered to maximize hardware performance potential, delivering higher throughput and lower latencies compared to traditional Kafka systems
    Data Management
    Automated cluster operations including zero-downtime upgrades, data and partition balancing with tiered storage for efficient long-term data retention
    Messaging Platform
    Distributed messaging and streaming platform supporting multiple programming languages and client libraries
    Data Processing Capabilities
    Supports real-time analytics, machine learning pipelines, log management, and event-driven architectures
    Cloud Integration
    Native integration with AWS services including Amazon S3, Amazon Kinesis, and AWS Lambda for seamless data streaming
    Storage Compatibility
    Supports Apache Iceberg and Delta Lake formats for advanced data lake architectures and real-time analytics
    Cluster Management
    Fully managed service with enterprise-grade SLAs, automatic version updates, and on-demand technical support

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    -
    -
    No security profile
    No security profile

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    0 AWS reviews
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    110 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Prajwal C.

    Confluent: Go to platform for Real-Time Data Streaming

    Reviewed on Oct 10, 2025
    Review provided by G2
    What do you like best about the product?
    I really liked how Confluent simplified working with Kafka and Flink through managed cloud services like Azure. The simple UI and wide range of connectors make real-time data integration effortless to me. Another highlight is the scalability and reliability while working on massive data streams. The schema registry and also KSQLDB make stream processing and governance much better and fluent.
    What do you dislike about the product?
    The pricing will shoot up as your data volume grows up. Some features are only available in Enterprise edition. Also one must spend lot of time to understand the whole workflow. Quite a bit steep learning curve.
    What problems is the product solving and how is that benefiting you?
    Confluent's Steaming Agents is what we are working on. We are building Agentic AI systmes powered by Streaming Data / Event- Driven. Confluents seamless real-time data streaming is a very powerful service which is solving lot of problems for us while working with Agentic AI.
    Computer & Network Security

    Experience with Confluent in my undergraduate research

    Reviewed on Aug 20, 2024
    Review provided by G2
    What do you like best about the product?
    Confluent has great documentation and developer advocacy resources. I learned Kafka and Kafka Streams almost exclusively using Confluent resources.
    What do you dislike about the product?
    I did not use Confluent tooling deeply or long enough to find downsides.
    What problems is the product solving and how is that benefiting you?
    Not a business problem, but helped me implement an event-stream processor using Kafka Streams. The streaming portion of the work was abstracted so I could focus on the algorithmic gist of my project.
    Gambling & Casinos

    Senior Software Engineer

    Reviewed on Dec 19, 2023
    Review provided by G2
    What do you like best about the product?
    High availability and throughput. It's very reliable.
    What do you dislike about the product?
    It's costly and often we need to think about alternatives.
    What problems is the product solving and how is that benefiting you?
    Kafka is our main component in delivering events to various services.
    Manish J.

    "A Game-Changer for Real-Time Data Management"

    Reviewed on Dec 15, 2023
    Review provided by G2
    What do you like best about the product?
    With Kafka topics, it is possible to easily set up a pub/sub pattern and provide producers and consumers with complete end-to-end visibility using Confluent Center. Simple to scale through the addition of brokers and "no downtime" software update/patch deployments.
    What do you dislike about the product?
    Confluent has nothing that I don't like. Instead, they are focusing on improving the data flow from the CDC.
    What problems is the product solving and how is that benefiting you?
    Our architecture is being redefined using event-driven microservices and stream processing pipelines, with Kafka serving as the only source of truth. Since our team's developers still need to go through a specific learning curve and paradigm shift, productivity is still lacking.
    Ganesh G.

    Flexibility of use

    Reviewed on Dec 04, 2023
    Review provided by G2
    What do you like best about the product?
    Confluent made our event processing butter smooth. Millions of events fired and all got processed without breaking any sweat. Installation, configuration & integrations with relational database was cherry on top. As an administrator and developer, the documentation was so easy and relatable that we actually spend less time than we anticipated.
    What do you dislike about the product?
    Lack of third party learning resource and community support
    What problems is the product solving and how is that benefiting you?
    User attributions in performance marketing.
    View all reviews