Apache Kafka vs. Cloudera DataFlow Comparison


Apache Kafka The Apache Software Foundation	Cloudera DataFlow Cloudera	+	+
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About Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.	About Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies searching for an open-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications	Audience SMBs and enterprises looking for a powerful Event Stream Processing solution
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Good performance Excellent scaling capability & fault tolerance Handles real time data pipelines Can be used as a message broker service as well Can be used in a variety of use cases Cons It is an advanced solution so it takes time and learning to deploy and use. Not very beginner friendly.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information The Apache Software Foundation Founded: 1999 United States kafka.apache.org	Company Information Cloudera Founded: 2008 United States www.cloudera.com/products/cdf.html
Alternatives HiveMQ	Alternatives Data Flow Manager Ksolves
Amazon EventBridge Amazon	Striim
MuleSoft Anypoint Platform Salesforce	Apache NiFi Apache Software Foundation
PubSub+ Platform Solace	Confluent
IBM Event Streams IBM View All	Google Cloud Dataflow Google View All
Categories Data Pipeline Supported Event Brokers Supported Event Stream Processing Supported iPaaS Supported Message Queue Supported Message-Oriented Middleware Supported Real-Time Data Streaming Supported	Categories Data Integration Supported Event Stream Processing Supported Real-Time Data Streaming Supported Streaming Analytics Supported
Show More Features Message Queue Features Asynchronous Communications Protocol Supported Data Error Reduction Supported Message Encryption Supported On-Premise Installation Supported Roles / Permissions Supported Storage / Retrieval / Deletion Supported System Decoupling Supported	Show More Features Streaming Analytics Features Data Enrichment Supported Data Wrangling / Data Prep Supported Multiple Data Source Support Supported Process Automation Supported Real-time Analysis / Reporting Supported Visualization Dashboards Supported
Integrations Litmus Edge Supported Altinity Supported Apache Camel Supported Apache Kylin Supported Baidu Palo Supported DBOS Supported Diffusion Supported Emgage Supported HiveMQ Supported Isovalent Supported Kestra Supported LOGIQ Supported Mozart Data Supported Parasoft Supported RTILA Supported Selector Analytics Supported Sirius Supported Stratio Supported Togai Supported Vert.x Supported Show More Integrations View All 327 Integrations	Integrations Litmus Edge Supported Altinity Not Supported Apache Camel Not Supported Apache Kylin Not Supported Baidu Palo Not Supported DBOS Not Supported Diffusion Not Supported Emgage Not Supported HiveMQ Not Supported Isovalent Not Supported Kestra Not Supported LOGIQ Not Supported Mozart Data Not Supported Parasoft Not Supported RTILA Not Supported Selector Analytics Not Supported Sirius Not Supported Stratio Not Supported Togai Not Supported Vert.x Not Supported Show More Integrations View All 5 Integrations
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