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Confluent Cloud vs. Amazon MSK

Future-proofing your Apache Kafka® investment and reducing your total cost of ownership is essential, which is many turn to managed Kafka services . In this in-depth comparison of Confluent Cloud vs Amazon MSK, we'll walk you through how each solution's features, scalability, and technical support stack up.

Founded by the original co-creators of Kafka, Confluent delivers a complete data streaming platform that lets you stream, connect, govern, and process your data wherever it lives, on-premises and across multiple clouds. Kora, our cloud-native Kafka engine, has been re-architected to power a seamless, fully managed experience on Confluent Cloud, one that's ready support all of your data streaming projects from inception to large scale.

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Cloud Native
Reducing Your Operational Burden – Confluent vs Amazon MSK

Although MSK addresses some operational gaps, it still has many limitations. Confluent removes the majority of operational burden and common Kafka challenges you'll encounter throughout your data streaming journey.

Plan

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Sizing	Throughput-based Eliminate cumbersome performance testing and reduce infrastructure costs with elastically scalable, scale-to-zero clusters where you only pay for usage versus provisioned infrastructure	Broker-based Allocate time and resources to run performance tests to pick broker types and count Overprovision infrastructure to reduce the need for complex expansions later due to autoscaling limitations (four operations per day)	Throughput-based Elastically scale with support up to 200MBps in and 400MBps out

Confluent Cloud
Throughput-based Eliminate cumbersome performance testing and reduce infrastructure costs with elastically scalable, scale-to-zero clusters where you only pay for usage versus provisioned infrastructure

Amazon MSK
Broker-based Allocate time and resources to run performance tests to pick broker types and count Overprovision infrastructure to reduce the need for complex expansions later due to autoscaling limitations (four operations per day)

MSK Serverless
Throughput-based Elastically scale with support up to 200MBps in and 400MBps out

Deploy

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Provision	Self-serve, on-demand Provision Kafka clusters along with any other Confluent Cloud component including Schema Registry, Connect & Flink	Self-serve, on-demand for Kafka only Provision Kafka clusters along with Glue Schema Registry and Flink Custom efforts needed for connectors and Kafka proxy	Self-serve, on-demand for Kafka only Provision Kafka clusters along with Glue Schema Registry and Flink Custom efforts needed for connectors and Kafka proxy
Infrastructure as Code	For both control plane and data plane Unified experience for deploying and managing Confluent resources across diverse environments. Leverage Terraform provider to manage both control plane resources—like Clusters and Schema Registry—and data plane resources, such as Topics and ACLs	For control plane only Terraform is only able to deploy and manage control plane resources. Need to build custom operators and processes to manage data plane resources.	For control plane only Terraform is only able to deploy and manage control plane resources. Need to build custom operators and processes to manage data plane resources.

Confluent Cloud
Self-serve, on-demand Provision Kafka clusters along with any other Confluent Cloud component including Schema Registry, Connect & Flink
For both control plane and data plane Unified experience for deploying and managing Confluent resources across diverse environments. Leverage Terraform provider to manage both control plane resources—like Clusters and Schema Registry—and data plane resources, such as Topics and ACLs

Amazon MSK
Self-serve, on-demand for Kafka only Provision Kafka clusters along with Glue Schema Registry and Flink Custom efforts needed for connectors and Kafka proxy
For control plane only Terraform is only able to deploy and manage control plane resources. Need to build custom operators and processes to manage data plane resources.

MSK Serverless
Self-serve, on-demand for Kafka only Provision Kafka clusters along with Glue Schema Registry and Flink Custom efforts needed for connectors and Kafka proxy
For control plane only Terraform is only able to deploy and manage control plane resources. Need to build custom operators and processes to manage data plane resources.

Operate

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Infra Monitoring	Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance from the Kafka experts Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures	Manual monitoring Assign resources to monitor broker metrics such as CPU utilization to proactively manage cluster performance Monitor and create alerts for disk space to prevent failures due to storage capacity	Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures
Topic Monitoring	Free, pre-aggregated metrics Access most important metrics pre-aggregated at the topic and cluster level at no additional cost; consume metrics with your third party monitoring service of choice using Metrics API	Topic-level metrics cost extra Pay to consume and manually aggregate per-broker and per-topic level metrics to monitor overall usage	Default monitoring is free Access topic-level metrics for free using CloudWatch console, a separate tool for monitoring multiple AWS products; does not include partition level metrics, or native-integration with popular monitoring tools like Datadog and Dynatrace
Upgrades	Always latest stable version Zero intervention as part of non-disruptive rolling upgrades to latest stable Kafka version that includes strategic patches ahead of scheduled Apache releases	Limited version support Manually trigger upgrades once AWS adds support for it after the scheduled Apache release; MSK only supports a subset of Kafka releases	Limited version support Zero intervention as part of nondisruptive rolling upgrades; MSK only supports a subset of Kafka releases and latest version is unknown and fully abstracted
Software Patches	Proactive fixes Stream confidently and reliably with Kafka experts that proactively address known bugs and vulnerabilities and resolve even the most complicated Kafka issues	Reactive fixes MSK chooses to offer only select versions of Kafka and failures due to Kafka software not covered by MSK uptime SLAs. Embracing a subset of releases forces a reactive approach to fixing vulnerabilities.	Reactive fixes MSK chooses to offer only select versions of Kafka and failures due to Kafka software not covered by MSK uptime SLAs. Embracing a subset of releases forces a reactive approach to fixing vulnerabilities.

Confluent Cloud
Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance from the Kafka experts Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures
Free, pre-aggregated metrics Access most important metrics pre-aggregated at the topic and cluster level at no additional cost; consume metrics with your third party monitoring service of choice using Metrics API
Always latest stable version Zero intervention as part of non-disruptive rolling upgrades to latest stable Kafka version that includes strategic patches ahead of scheduled Apache releases
Proactive fixes Stream confidently and reliably with Kafka experts that proactively address known bugs and vulnerabilities and resolve even the most complicated Kafka issues

Amazon MSK
Manual monitoring Assign resources to monitor broker metrics such as CPU utilization to proactively manage cluster performance Monitor and create alerts for disk space to prevent failures due to storage capacity
Topic-level metrics cost extra Pay to consume and manually aggregate per-broker and per-topic level metrics to monitor overall usage
Limited version support Manually trigger upgrades once AWS adds support for it after the scheduled Apache release; MSK only supports a subset of Kafka releases
Reactive fixes MSK chooses to offer only select versions of Kafka and failures due to Kafka software not covered by MSK uptime SLAs. Embracing a subset of releases forces a reactive approach to fixing vulnerabilities.

MSK Serverless
Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures
Default monitoring is free Access topic-level metrics for free using CloudWatch console, a separate tool for monitoring multiple AWS products; does not include partition level metrics, or native-integration with popular monitoring tools like Datadog and Dynatrace
Limited version support Zero intervention as part of nondisruptive rolling upgrades; MSK only supports a subset of Kafka releases and latest version is unknown and fully abstracted
Reactive fixes MSK chooses to offer only select versions of Kafka and failures due to Kafka software not covered by MSK uptime SLAs. Embracing a subset of releases forces a reactive approach to fixing vulnerabilities.

Scale

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Cluster Expansions	Elastic scalability Automatic resource allocation to your cluster to manage consumer lag as throughput scales up or down to GBps scale with fully elastic, self-balancing clusters Eliminate cluster compute over-provisioning when increasing topic retention with Infinite Storage	Manual data rebalancing Manual data rebalancing process required using Cruise Control after brokers are added to any cluster Tiered storage available, but still need EBS volumes which can be scaled up to 16TB per broker with a 30 broker limit	Elastic scalability Effortless scaling up and down from 0 to 200 MBps with automatic cluster rebalancing Eliminate cluster compute over-provisioning when increasing topic retention with Infinite Storage
Connectors	Pre-built and fully managed Accelerate integration to modern and legacy services across on-premises and public clouds with a continuously growing portfolio of 120+ connectors available either as fully managed components or as pre-built components covered by Confluent support	Self develop and manage Leverage self-built or community-built connectors without expressed technical support from AWS; only underlying MSK Connect infrastructure is included	Self develop and manage Leverage self-built or community-built connectors without expressed technical support from AWS; only underlying MSK Connect infrastructure is included

Confluent Cloud
Elastic scalability Automatic resource allocation to your cluster to manage consumer lag as throughput scales up or down to GBps scale with fully elastic, self-balancing clusters Eliminate cluster compute over-provisioning when increasing topic retention with Infinite Storage
Pre-built and fully managed Accelerate integration to modern and legacy services across on-premises and public clouds with a continuously growing portfolio of 120+ connectors available either as fully managed components or as pre-built components covered by Confluent support

Amazon MSK
Manual data rebalancing Manual data rebalancing process required using Cruise Control after brokers are added to any cluster Tiered storage available, but still need EBS volumes which can be scaled up to 16TB per broker with a 30 broker limit
Self develop and manage Leverage self-built or community-built connectors without expressed technical support from AWS; only underlying MSK Connect infrastructure is included

MSK Serverless
Elastic scalability Effortless scaling up and down from 0 to 200 MBps with automatic cluster rebalancing Eliminate cluster compute over-provisioning when increasing topic retention with Infinite Storage
Self develop and manage Leverage self-built or community-built connectors without expressed technical support from AWS; only underlying MSK Connect infrastructure is included

See What Confluent Customers Have to Say

“Since we built Horus, our global IPv4 scanning platform, on top of Confluent, we’ve saved over a million dollars compared to open source Kafka or MSK. Business resilience and ensuring no disruption to delivering customer value, all of that is enabled by having a system like Confluent that works securely and reliably to do data streaming.”

Jared Smith

Senior Director, Threat Intelligence at Security Scorecard

“We want our engineers to focus on making the RevLifter Platform world-class, not managing infrastructure and worrying about Kafka outages. With our previous provider, we still had to consider operational aspects such as brokers and storage - with Confluent, we get true elasticity which is critical for scaling on big retail events such as Black Friday or when signing on large new clients - all backed by a higher SLA.”

Ian Compton

Technology Director

Jared Smith

Senior Director, Threat Intelligence at Security Scorecard

Ian Compton

Technology Director

Complete
Confluent vs MSK on Enterprise-Grade Features & Deployment Flexibility

Confluent delivers enterprise-grade capabilities above and beyond MSK's feature set to deliver a complete data streaming platform, equipping you to unlock countless data streaming and stream processing use cases. Plus, Confluent offers true deployment flexibility to support hybrid & multi-cloud architectures.

See the side-by-side comparison with MSK's features on key data streaming platform capabilites like stream processing, integration with third-party system, governance, security, and more.

Cloud vs MSK Enterprise Features Comparison

Explore Kafka Use Cases

Stream Processing and Integration

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Connectors	Pre-built & fully managed Seamlessly and effortlessly integrate Apache Kafka with modern and legacy services across on-premises and public clouds with a continuously growing portfolio of +120 connectors available either as fully managed components or as pre-built components covered by Confluent support	Custom-built & self-managed Integrate Kafka with your data services with the option to build your own connectors or deploy from a small subset of community developed connectors. Custom built connectors require maintenance and Kafka community connectors are not covered by AWS technical support	Custom-built & self-managed Integrate Kafka with your data services with the option to build your own connectors or deploy from a small subset of community developed connectors. Custom built connectors require maintenance and Kafka community connectors are not covered by AWS technical support
Stream Processing	Fully managed Offers fully managed Flink & ksqDB service. Users simply create a cluster and get started with stream processing using SQL like language. Also supports AWS fully managed Lambda service	Adds complexities Supports Lambda and self-managed ksqlDB Supports Managed Service for Apache Flink (MSF), which is powerful but adds complexities. As users need to configure networking, create MSF Studio notebook, author the job using SQL-like syntax, test the code, package the code, upload to S3, and create a MSF application from the uploaded code.	Adds complexities Supports Lambda but does not support ksqlDB Supports Managed Service for Apache Flink (MSF), which is powerful but adds complexities. As users need to configure networking, create MSF Studio notebook, author the job using SQL-like syntax, test the code, package the code, upload to S3, and create a MSF application from the uploaded code.
No-code stream processing	Fully managed Build streaming data pipelines visually using a point-and-click interface with Stream Designer	Custom-built & self-managed Custom efforts are required to build your own no-code stream processing solution	Custom-built & self-managed Custom efforts are required to build your own no-code stream processing solution

Confluent Cloud
Pre-built & fully managed Seamlessly and effortlessly integrate Apache Kafka with modern and legacy services across on-premises and public clouds with a continuously growing portfolio of +120 connectors available either as fully managed components or as pre-built components covered by Confluent support
Fully managed Offers fully managed Flink & ksqDB service. Users simply create a cluster and get started with stream processing using SQL like language. Also supports AWS fully managed Lambda service
Fully managed Build streaming data pipelines visually using a point-and-click interface with Stream Designer

Amazon MSK
Custom-built & self-managed Integrate Kafka with your data services with the option to build your own connectors or deploy from a small subset of community developed connectors. Custom built connectors require maintenance and Kafka community connectors are not covered by AWS technical support
Adds complexities Supports Lambda and self-managed ksqlDB Supports Managed Service for Apache Flink (MSF), which is powerful but adds complexities. As users need to configure networking, create MSF Studio notebook, author the job using SQL-like syntax, test the code, package the code, upload to S3, and create a MSF application from the uploaded code.
Custom-built & self-managed Custom efforts are required to build your own no-code stream processing solution

MSK Serverless
Custom-built & self-managed Integrate Kafka with your data services with the option to build your own connectors or deploy from a small subset of community developed connectors. Custom built connectors require maintenance and Kafka community connectors are not covered by AWS technical support
Adds complexities Supports Lambda but does not support ksqlDB Supports Managed Service for Apache Flink (MSF), which is powerful but adds complexities. As users need to configure networking, create MSF Studio notebook, author the job using SQL-like syntax, test the code, package the code, upload to S3, and create a MSF application from the uploaded code.
Custom-built & self-managed Custom efforts are required to build your own no-code stream processing solution

Management and Monitoring

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Kafka UI	Fully managed Provides an intuitive easy to use Kafka UI that allows you to manage Control plane resources (Kafka clusters and Connectors), Data plane resources (topics and ACLs) and monitor your resources from the same UI. It also provides native management for Kafka resources, which is useful for Kafka Gitops	Not available You can use the console to manage control plane resources. No Kafka UI, and thus, you will have to rely on free community tools without support or paid third-party tools to manage Kafka resources. Lack of native topic management makes it difficult to implement GitOps with MSK.	Not available You can use the console to manage control plane resources. No Kafka UI, and thus, you will have to rely on free community tools without support or paid third-party tools to manage Kafka resources. Lack of native topic management makes it difficult to implement GitOps with MSK.
Infrastructure Monitoring	Proactive monitoring Stop thinking about infrastructure with features such as Infinite Storage that decouples compute and storage to reduce disk space related failures in addition to proactive monitoring from the Kafka experts to help you maintain peak cluster performance	DIY monitoring Assign resources to export, aggregate and monitor broker level metrics (which increase your third party monitoring services costs) such as disk space to prevent failures due to storage capacity and CPU utilization to proactively manage cluster performance	Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures
Topic Monitoring	Pre-aggregated and free Access most important metrics pre-aggregated at the topic and cluster level consumable through the cloud UI or create custom dashboards when manually integrating Metrics API with your third party monitoring service of choice	PER_TOPIC cost extra Pay to consume and manually aggregate per-broker and per-topic-per-broker level metrics to monitor overall usage; aggregations will need to be recalculated after events such as scaling when partitions are rebalanced across different brokers	Default monitoring is free Topic level is monitoring is included with no additional cost and available using CloudWatch console. Does not include partition level monitoring or access to the metrics API. Could not be easily integrated with popular monitoring tools like Datadog and New Relic.

Confluent Cloud
Fully managed Provides an intuitive easy to use Kafka UI that allows you to manage Control plane resources (Kafka clusters and Connectors), Data plane resources (topics and ACLs) and monitor your resources from the same UI. It also provides native management for Kafka resources, which is useful for Kafka Gitops
Proactive monitoring Stop thinking about infrastructure with features such as Infinite Storage that decouples compute and storage to reduce disk space related failures in addition to proactive monitoring from the Kafka experts to help you maintain peak cluster performance
Pre-aggregated and free Access most important metrics pre-aggregated at the topic and cluster level consumable through the cloud UI or create custom dashboards when manually integrating Metrics API with your third party monitoring service of choice

Amazon MSK
Not available You can use the console to manage control plane resources. No Kafka UI, and thus, you will have to rely on free community tools without support or paid third-party tools to manage Kafka resources. Lack of native topic management makes it difficult to implement GitOps with MSK.
DIY monitoring Assign resources to export, aggregate and monitor broker level metrics (which increase your third party monitoring services costs) such as disk space to prevent failures due to storage capacity and CPU utilization to proactively manage cluster performance
PER_TOPIC cost extra Pay to consume and manually aggregate per-broker and per-topic-per-broker level metrics to monitor overall usage; aggregations will need to be recalculated after events such as scaling when partitions are rebalanced across different brokers

MSK Serverless
Not available You can use the console to manage control plane resources. No Kafka UI, and thus, you will have to rely on free community tools without support or paid third-party tools to manage Kafka resources. Lack of native topic management makes it difficult to implement GitOps with MSK.
Proactive monitoring Stay focused on app development with proactive cluster monitoring and maintenance Infinite Storage enables unlimited cluster-level storage use cases while reducing risk of disk space-related failures
Default monitoring is free Topic level is monitoring is included with no additional cost and available using CloudWatch console. Does not include partition level monitoring or access to the metrics API. Could not be easily integrated with popular monitoring tools like Datadog and New Relic.

Enterprise Grade Security

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Authentication	Broad authentication Only allows authenticated clients to access the cluster. Supports SASL/PLAIN and SASL/OAUTHBEARER (in preview) as Authentication mechanisms	Broad authentication Allows authenticated access. Supported SASL/SCRAM, mTLS and IAM as Authentication mechanisms	Limited authentication Only allows authenticated clients to access the cluster. Only supports IAM as authentication mechanism.
Encryption	End-to-end encryption Client-Side Field Level Encryption (early access) on Confluent Cloud adds an extra layer of security by encrypting sensitive data on the client, securing it on both client and server, and maintaining security during data in motion between producers and consumers	Not supported No support for field level encryption	Not supported No support for field level encryption
Vulnerability and Bug Patches	Proactive fixes Kafka experts address bugs and known vulnerabilities as identified and implemented across all clusters once fix is tested and stable in order to maintain the highest service availability	Reactive fixes Software related issues excluded from uptime SLAs as AWS cannot address bugs ahead of Kafka releases. MSK customers have option to manually upgrade clusters, if a newer version is supported, or cluster migration if no path to upgrade available	Reactive fixes Software related issues excluded from uptime SLAs as AWS cannot address bugs ahead of Kafka releases. MSK customers have option to manually upgrade clusters, if a newer version is supported, or cluster migration if no path to upgrade available

Confluent Cloud
Broad authentication Only allows authenticated clients to access the cluster. Supports SASL/PLAIN and SASL/OAUTHBEARER (in preview) as Authentication mechanisms
End-to-end encryption Client-Side Field Level Encryption (early access) on Confluent Cloud adds an extra layer of security by encrypting sensitive data on the client, securing it on both client and server, and maintaining security during data in motion between producers and consumers
Proactive fixes Kafka experts address bugs and known vulnerabilities as identified and implemented across all clusters once fix is tested and stable in order to maintain the highest service availability

Amazon MSK
Broad authentication Allows authenticated access. Supported SASL/SCRAM, mTLS and IAM as Authentication mechanisms
Not supported No support for field level encryption
Reactive fixes Software related issues excluded from uptime SLAs as AWS cannot address bugs ahead of Kafka releases. MSK customers have option to manually upgrade clusters, if a newer version is supported, or cluster migration if no path to upgrade available

MSK Serverless
Limited authentication Only allows authenticated clients to access the cluster. Only supports IAM as authentication mechanism.
Not supported No support for field level encryption
Reactive fixes Software related issues excluded from uptime SLAs as AWS cannot address bugs ahead of Kafka releases. MSK customers have option to manually upgrade clusters, if a newer version is supported, or cluster migration if no path to upgrade available

Data Governance

Cloud-Native

Self-Managed

Custom/Unsupported

Service	Confluent Cloud	Amazon MSK	MSK Serverless
Data Governance	Fully managed Provides a suite of fully managed services that work together to manage the availability, integrity, and security of data used across the organization. Stream Governance is built upon three key strategic pillars: Stream Lineage, Stream Catalog, Stream Quality. Data Quality Rules guarantee high-quality streams.	Not available Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance. For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments	Not available Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance. For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments

Confluent Cloud
Fully managed Provides a suite of fully managed services that work together to manage the availability, integrity, and security of data used across the organization. Stream Governance is built upon three key strategic pillars: Stream Lineage, Stream Catalog, Stream Quality. Data Quality Rules guarantee high-quality streams.

Amazon MSK
Not available Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance. For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments

Amazon MSK

Not available

Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance.
For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments

MSK Serverless
Not available Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance. For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments

MSK Serverless

Not available

Does not have lineage or catalog capabilities. Need to rely on free community tools without support or paid third-party tools to provide stream governance.
For data quality, MSK and MSK Serverless integrate with Confluent and Glue Schema registry. However, they lack broker-side schema validation that enforces data producers to use schema registry to control schema evolution, Data Quality Rules to validate and constrain individual field values within a data stream, and schema linking that syncs schemas across different environments

Additional Resources

Data Sheet

Future-proof your investment with a fully managed, cloud-native, and complete data streaming platform available everywhere

View the Data Sheet

Competitive Brief

Learn how Confluent Cloud differs from Amazon MSK and the benefits your teams can realize

Read the brief

White Paper

Overview of the direct and indirect costs of self-supporting Kafka and using Amazon MSK, and how Confluent can reduce your overall Kafka spend by up to 60%

Read the whitepaper