# Apache Kafka, Azure Event Hubs vs Google Cloud Pub/Sub Comparison | | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Star Rating** | 4.5 out of 5 | 4.2 out of 5 | 4.5 out of 5 | | **Total Reviews** | 131 | 13 | 39 | | **Largest Market Segment** | Enterprise (46.8% of reviews) | Small-Business (66.7% of reviews) | Small-Business (44.1% of reviews) | | **Entry Level Price** | No pricing available | No pricing available | No pricing available | --- ## Top Pros & Cons ### Apache Kafka Pros: - Scalability (5 reviews) - Real-time Data (3 reviews) Cons: - Complexity (1 reviews) - Data Management Issues (1 reviews) ### Azure Event Hubs **Not enough data** ### Google Cloud Pub/Sub Pros: - Scalability (2 reviews) - Customer Support (1 reviews) Cons: - Expensive (1 reviews) - Limitations (1 reviews) --- ## Ratings Comparison | Rating | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Meets Requirements** | 8.9 (95 reviews) | 9.2 (8 reviews) | 9.2 (29 reviews) | | **Ease of Use** | 8.6 (96 reviews) | 8.3 (8 reviews) | 8.7 (30 reviews) | | **Ease of Setup** | 8.0 (34 reviews) | Not enough data | 9.1 (11 reviews) | | **Ease of Admin** | 7.8 (24 reviews) | Not enough data | 7.9 (7 reviews) | | **Quality of Support** | 7.8 (84 reviews) | 9.0 (7 reviews) | 8.8 (26 reviews) | | **Has the product been a good partner in doing business?** | 8.3 (20 reviews) | Not enough data | 8.9 (6 reviews) | | **Product Direction (% positive)** | 8.8 (91 reviews) | 8.7 (9 reviews) | 8.4 (29 reviews) | --- ## Pricing ### Apache Kafka #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Azure Event Hubs #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Google Cloud Pub/Sub #### Entry-Level Pricing No pricing available #### Free Trial No information available --- ## Features Comparison By Category ### Event Stream Processing | Product | Score | Reviews | |---|---|---| | **Apache Kafka** | 8.8/10 | 41 | | **Azure Event Hubs** | N/A | N/A | | **Google Cloud Pub/Sub** | N/A | N/A | #### Data | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Data Processing** | 9.0 (37 reviews) | Not enough data | Not enough data | | **Data Sources** | 8.7 (35 reviews) | Not enough data | Not enough data | | **Integration** | 8.9 (38 reviews) | Not enough data | Not enough data | | **Real-Time Processing** | 9.1 (39 reviews) | Not enough data | Not enough data | #### Analytics | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Reporting & Analytics** | 8.3 (31 reviews) | Not enough data | Not enough data | ### Message Queue (MQ) | Product | Score | Reviews | |---|---|---| | **Apache Kafka** | 8.4/10 | 54 | | **Azure Event Hubs** | N/A | N/A | | **Google Cloud Pub/Sub** | 8.8/10 | 20 | #### Functionality | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Asynchronous Messaging** | 8.9 (52 reviews) | Not enough data | 9.2 (15 reviews) | | **Language Support** | 8.5 (49 reviews) | Not enough data | 8.5 (11 reviews) | | **Cloud-based Messaging** | 8.3 (45 reviews) | Not enough data | 9.3 (15 reviews) | | **Latency** | 8.1 (49 reviews) | Not enough data | 7.6 (13 reviews) | #### Integration | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Application Integration** | 8.8 (51 reviews) | Not enough data | 9.1 (15 reviews) | | **Data Integration** | 8.4 (47 reviews) | Not enough data | 9.2 (14 reviews) | | **Plugins and integrations** | 8.1 (46 reviews) | Not enough data | 8.8 (12 reviews) | #### Management | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Policies and Controls** | 8.2 (42 reviews) | Not enough data | 8.3 (13 reviews) | | **Security Monitoring** | 8.0 (42 reviews) | Not enough data | 8.8 (13 reviews) | | **Activity Monitoring** | 8.3 (43 reviews) | Not enough data | 8.8 (13 reviews) | #### Agentic AI - Message Queue (MQ) | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Autonomous Task Execution** | Not enough data | Not enough data | Not enough data | | **Multi-step Planning** | Not enough data | Not enough data | Not enough data | | **Cross-system Integration** | Not enough data | Not enough data | Not enough data | | **Proactive Assistance** | Not enough data | Not enough data | Not enough data | ### Big Data | Product | Score | Reviews | |---|---|---| | **Apache Kafka** | N/A | N/A | | **Azure Event Hubs** | N/A | N/A | | **Google Cloud Pub/Sub** | N/A | N/A | #### Building Reports | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Data Transformation** | Not enough data | Not enough data | Not enough data | | **Data Modeling** | Not enough data | Not enough data | Not enough data | | **WYSIWYG Report Design** | Not enough data | Not enough data | Not enough data | | **Integration APIs** | Not enough data | Not enough data | Not enough data | #### Platform | Feature | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Mobile User Support** | Not enough data | Not enough data | Not enough data | | **Customization ** | Not enough data | Not enough data | Not enough data | | **User, Role, and Access Management** | Not enough data | Not enough data | Not enough data | | **Internationalization** | Not enough data | Not enough data | Not enough data | | **Sandbox / Test Environments** | Not enough data | Not enough data | Not enough data | | **Performance and Reliability** | Not enough data | Not enough data | Not enough data | | **Breadth of Partner Applications** | Not enough data | Not enough data | Not enough data | --- ## Categories **Shared Categories (1):** [Stream Analytics Software](https://www.g2.com/categories/stream-analytics) **Unique to Apache Kafka (2):** [Message Queue (MQ) Software](https://www.g2.com/categories/message-queue-mq), [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) **Unique to Google Cloud Pub/Sub (1):** [Message Queue (MQ) Software](https://www.g2.com/categories/message-queue-mq) --- ## Reviewer Demographics ### By Company Size | Segment | Apache Kafka | Azure Event Hubs | Google Cloud Pub/Sub | |---|---|---|---| | **Small-Business** | 20.6% | 66.7% | 44.1% | | **Mid-Market** | 32.5% | 0% | 23.5% | | **Enterprise** | 46.8% | 33.3% | 32.4% | ### By Industry #### Apache Kafka - **Computer Software:** 24.6% - **Information Technology and Services:** 19.0% - **Financial Services:** 7.9% - **Banking:** 5.6% - **Retail:** 4.8% - **Computer & Network Security:** 4.0% - **Insurance:** 3.2% - **Transportation/Trucking/Railroad:** 2.4% - **Telecommunications:** 2.4% - **Hospital & Health Care:** 2.4% - **Other:** 23.8% #### Azure Event Hubs - **Marketing and Advertising:** 16.7% - **Entertainment:** 16.7% - **Public Relations and Communications:** 8.3% - **Information Technology and Services:** 8.3% - **Hospital & Health Care:** 8.3% - **Higher Education:** 8.3% - **Health, Wellness and Fitness:** 8.3% - **Education Management:** 8.3% - **Computer Software:** 8.3% - **Computer & Network Security:** 8.3% #### Google Cloud Pub/Sub - **Computer Software:** 20.6% - **Education Management:** 14.7% - **Retail:** 8.8% - **Marketing and Advertising:** 8.8% - **Information Technology and Services:** 5.9% - **Information Services:** 5.9% - **E-Learning:** 5.9% - **Automotive:** 5.9% - **Music:** 2.9% - **Medical Practice:** 2.9% - **Other:** 17.6% --- ## Alternatives ### Alternatives to Apache Kafka - [Confluent](https://www.g2.com/products/confluent/reviews) — 4.4/5 stars (114 reviews) - [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) — 4.5/5 stars (744 reviews) - [IBM MQ](https://www.g2.com/products/ibm-mq/reviews) — 4.3/5 stars (174 reviews) - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) — 4.3/5 stars (90 reviews) - [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews) — 4.3/5 stars (103 reviews) - [RabbitMQ](https://www.g2.com/products/rabbitmq/reviews) — 4.1/5 stars (47 reviews) - [Google Cloud Dataflow](https://www.g2.com/products/google-cloud-dataflow/reviews) — 4.2/5 stars (45 reviews) - [Amazon MQ](https://www.g2.com/products/amazon-mq/reviews) — 3.6/5 stars (18 reviews) - [Azure Queue Storage](https://www.g2.com/products/azure-queue-storage/reviews) — 3.9/5 stars (13 reviews) - [KubeMQ](https://www.g2.com/products/kubemq/reviews) — 4.5/5 stars (12 reviews) ### Alternatives to Azure Event Hubs - [Confluent](https://www.g2.com/products/confluent/reviews) — 4.4/5 stars (114 reviews) - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) — 4.3/5 stars (90 reviews) - [Apache Flink](https://www.g2.com/products/apache-flink/reviews) — 4.3/5 stars (16 reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) — 4.5/5 stars (576 reviews) - [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) — 4.3/5 stars (474 reviews) - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) — 4.0/5 stars (117 reviews) - [Evam](https://www.g2.com/products/evam/reviews) — 4.8/5 stars (216 reviews) - [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) — 4.1/5 stars (136 reviews) - [Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews) — 4.0/5 stars (22 reviews) ### Alternatives to Google Cloud Pub/Sub - [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) — 4.5/5 stars (744 reviews) - [IBM MQ](https://www.g2.com/products/ibm-mq/reviews) — 4.3/5 stars (174 reviews) - [Confluent](https://www.g2.com/products/confluent/reviews) — 4.4/5 stars (114 reviews) - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) — 4.3/5 stars (90 reviews) - [RabbitMQ](https://www.g2.com/products/rabbitmq/reviews) — 4.1/5 stars (47 reviews) - [Amazon MQ](https://www.g2.com/products/amazon-mq/reviews) — 3.6/5 stars (18 reviews) - [Apache ActiveMQ](https://www.g2.com/products/apache-activemq/reviews) — 4.3/5 stars (16 reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) — 4.5/5 stars (576 reviews) - [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) — 4.3/5 stars (474 reviews) --- ## Top Discussions ### Apache Kafka - Title: [What is Apache Kafka used for?](https://www.g2.com/discussions/what-is-apache-kafka-used-for) — 2 comments > **Top comment:** "It is an advanced message broker with very high throughput based on Sequential IO, Zero copy and Compression principles with Publisher and Subscriber models." - Title: [What is Apache Kafka used for?](https://www.g2.com/discussions/apache-kafka-what-is-apache-kafka-used-for) — 1 comment > **Top comment:** "It used this Mnemonic to remember what kafka is and what it is used for - S - Stream Data in Real-Time: Handles and processes live data (e.g., Uber car..." - Title: [What is the maximum limit of the number of partitions in a Kafka topic?](https://www.g2.com/discussions/26572-what-is-the-maximum-limit-of-the-number-of-partitions-in-a-kafka-topic) — 1 comment, 1 upvote > **Top comment:** "The answer is closely related to the version of the Kafka broker that you are running. A reasonably up to date cluster can hold up to 4,000 partitions per..." ### Azure Event Hubs No discussions available for this product. ### Google Cloud Pub/Sub No discussions available for this product. --- **Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/apache-kafka-vs-azure-event-hubs-vs-google-cloud-pub-sub)