# Azure Event Hubs vs Confluent Comparison

---
## Frequently Asked Questions

### What is the difference between Confluent vs Azure Event Hubs?

Confluent stands out for its higher G2 rating, more robust review volume, and reviewer-cited integration strengths, while Azure Event Hubs is noted for its strong support and meets requirements scores.

| [Confluent](https://www.g2.com/products/confluent/reviews) | [Azure Event Hubs](https://www.g2.com/products/azure-event-hubs/reviews) |
| --- | --- |
| 4.4/5 (114 reviews) | 4.2/5 (13 reviews) |
| — | — |
| 8.2 | — |
| 8.3 | 9.0 |
| Integration and ease of use | Strong support and meets requirements |



### How do the pricing models of Confluent and Azure Event Hubs compare?

Confluent is perceived as more expensive as data volume grows, while Azure Event Hubs receives fewer direct value comments but is noted for its free trial and efficiency.

- **Confluent:** Reviewers frequently mention that pricing increases significantly with data volume and that some features are only available in higher editions.
- **Azure Event Hubs:** Reviewers highlight the availability of a free trial and describe the platform as efficient for building dynamic pipelines, but also note that the Microsoft Azure stack is considered overpriced by some.
- **Switching reasons:** Several Confluent reviewers cite cost as a reason for considering alternatives, especially as usage scales.



### What are the best alternatives to Confluent and Azure Event Hubs?

The top three alternatives to Confluent and Azure Event Hubs are Apache Kafka, Cloudera, and Lenses.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Confluent](https://www.g2.com/products/confluent/reviews) | 4.4/5 (114 reviews) | — | Pricing increases with data volume | Integration and ease of use |
| [Azure Event Hubs](https://www.g2.com/products/azure-event-hubs/reviews) | 4.2/5 (13 reviews) | — | Free trial available, efficient for pipelines | Strong support and meets requirements |
| [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) | 4.5/5 (132 reviews) | Enterprise | — | Scalability and reliability |
| [Cloudera](https://www.g2.com/products/cloudera/reviews) | 4.1/5 (136 reviews) | Enterprise | — | Big data management |
| [Lenses](https://www.g2.com/products/lenses/reviews) | 4.2/5 (17 reviews) | — | — | — |



### Which Event Stream Processing features should I prioritize when comparing Confluent and Azure Event Hubs?

Buyers should prioritize integration capabilities, ease of setup, quality of support, scalability, and cost transparency when comparing Confluent and Azure Event Hubs.

- **Integration:** Confluent is cited for integration strengths in recent reviews, with 1 all-time mention for integrations and connectors.
- **Ease of Setup:** Confluent scores 8.2 for Ease of Setup; Azure Event Hubs has qualitative feedback highlighting easy setup but lacks a score.
- **Quality of Support:** Azure Event Hubs scores 9.0, while Confluent scores 8.3 for Quality of Support.
- **Scalability:** Both products are praised for scalability in reviews, with Confluent reviewers frequently mentioning scalability as a key benefit.
- **Cost Transparency:** Confluent reviewers note challenges with cost estimation and pricing increases as usage grows.



### What are the pros and cons of Confluent vs Azure Event Hubs?

Confluent's headline strength is integration and ease of use, while Azure Event Hubs is recognized for strong support and meeting requirements.

- **Confluent strengths:** Integration (1 all-time mention), connectors (1), ease of use (1), real-time streaming (1), reliability (1), scalability (1), and data integration (1).
- **Confluent trade-offs:** Cost estimation (1), expensive as data volume grows (1), learning curve (1), limited features in lower tiers (1), and documentation gaps (1).
- **Azure Event Hubs strengths:** Strong support (Quality of Support score 9.0), meets requirements (9.2), efficient for building dynamic pipelines, and free trial availability.
- **Azure Event Hubs trade-offs:** Some reviewers note the Microsoft Azure stack is overpriced and documentation could be improved for new users.



### Is Confluent or Azure Event Hubs better for small businesses?

Confluent is better suited for small businesses based on reviewer sentiment and ease of setup.

- **Confluent:** Reviewers highlight that Confluent removes the operational burden of running Kafka, offers easy setup, and is accessible to users without advanced technical skills, making it attractive for lean teams and small businesses.
- **Azure Event Hubs:** Reviewers note that Azure Event Hubs is efficient and offers a free trial, but some mention a steeper learning curve for those unfamiliar with cloud platforms.



### Which Event Stream Processing platform has better integrations?

Confluent is favored for integrations, with reviewers consistently citing its integration capabilities.

- **Confluent:** Integration is cited as a strength in recent reviews, with 1 all-time mention for integrations and connectors.
- **Azure Event Hubs:** No reviewer-cited integrations or mention counts are available.



### How do Confluent and Azure Event Hubs compare on customer support?

Azure Event Hubs leads on Quality of Support with a 0.7-point advantage over Confluent (9.0 vs 8.3).

- **Confluent:** Reviewers describe support as knowledgeable, helpful, and responsive, with several citing positive experiences and a Quality of Support score of 8.3.
- **Azure Event Hubs:** Reviewers consistently praise support, reflected in a Quality of Support score of 9.0, and mention efficient issue resolution and helpful documentation.



### Which is easier to implement, Confluent or Azure Event Hubs?

Confluent and Azure Event Hubs are at parity on Ease of Setup, with Confluent scoring 8.2 and Azure Event Hubs receiving positive qualitative feedback.

- **Confluent:** Reviewers highlight quick setup, minimal technical requirements, and the ability to get started in 1-2 days, with an Ease of Setup score of 8.2.
- **Azure Event Hubs:** Reviewers describe setup as easy and straightforward, with several noting that it is simple to configure and integrate, though no score is available.



### Which product has better Integration?

Confluent is favored for Integration, which is the most frequently mentioned feature across both products' reviews.

- **Confluent:** Integration is cited as a strength in recent reviews, with 1 all-time mention for integrations and connectors; reviewers also highlight ease of integration with other platforms and software.
- **Azure Event Hubs:** No reviewer-cited integration strengths or mention counts are available.



| | Azure Event Hubs | Confluent | 
|---|---|---|
| **Star Rating** | 4.2 out of 5 | 4.4 out of 5 | 
| **Total Reviews** | 13 | 114 | 
| **Largest Market Segment** | Small-Business (66.7% of reviews) | Enterprise (35.1% of reviews) | 
| **Entry Level Price** | No pricing available | No pricing available | 

---
## Top Pros & Cons

### Azure Event Hubs

**Not enough data**

### Confluent

Pros:
- Cloud Computing (1 reviews)
- Cloud Services (1 reviews)

Cons:
- Cost Estimation (1 reviews)
- Expensive (1 reviews)

---
## Ratings Comparison
| Rating | Azure Event Hubs | Confluent | 
|---|---|---|
  | **Meets Requirements** | 9.2 (8 reviews) | 8.7 (88 reviews) | 
  | **Ease of Use** | 8.3 (8 reviews) | 8.4 (89 reviews) | 
  | **Ease of Setup** | Not enough data | 8.2 (39 reviews) | 
  | **Ease of Admin** | Not enough data | 8.1 (39 reviews) | 
  | **Quality of Support** | 9.0 (7 reviews) | 8.3 (82 reviews) | 
  | **Has the product been a good partner in doing business?** | Not enough data | 8.5 (36 reviews) | 
  | **Product Direction (% positive)** | 8.7 (9 reviews) | 9.0 (89 reviews) | 

---
## Pricing

### Azure Event Hubs

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### Confluent

#### Entry-Level Pricing

No pricing available

#### Free Trial

Yes

---
## Features Comparison By Category

### Event Stream Processing

| Product | Score | Reviews |
|---|---|---|
| **Azure Event Hubs** | N/A | N/A |
| **Confluent** | 8.7/10 | 68 |

#### Data

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Data Processing** | Not enough data | 8.7 (63 reviews) | 
| **Data Sources** | Not enough data | 8.8 (59 reviews) | 
| **Integration** | Not enough data | 8.8 (63 reviews) | 
| **Real-Time Processing** | Not enough data | 9.0 (64 reviews) | 

#### Analytics

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Reporting & Analytics** | Not enough data | 8.2 (57 reviews) | 

### Big Data Processing and Distribution

| Product | Score | Reviews |
|---|---|---|
| **Azure Event Hubs** | N/A | N/A |
| **Confluent** | 8.3/10 | 23 |

#### Database

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Real-Time Data Collection** | Not enough data | 9.0 (18 reviews) | 
| **Data Distribution** | Not enough data | 8.7 (17 reviews) | 
| **Data Lake** | Not enough data | 8.3 (15 reviews) | 

#### Integrations

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Hadoop Integration** | Not enough data | 8.3 (12 reviews) | 
| **Spark Integration** | Not enough data | 8.2 (14 reviews) | 

#### Platform

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Machine Scaling** | Not enough data | 8.2 (17 reviews) | 
| **Data Preparation** | Not enough data | 7.8 (16 reviews) | 
| **Spark Integration** | Not enough data | 8.2 (14 reviews) | 

#### Processing

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Cloud Processing** | Not enough data | 8.2 (16 reviews) | 
| **Workload Processing** | Not enough data | 8.3 (17 reviews) | 

### Big Data Analytics

| Product | Score | Reviews |
|---|---|---|
| **Azure Event Hubs** | N/A | N/A |
| **Confluent** | 8.3/10 | 26 |

#### Data Transformation

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Real-Time Analytics** | Not enough data | 8.9 (22 reviews) ✓ Verified | 
| **Data Querying** | Not enough data | 8.4 (20 reviews) ✓ Verified | 
| **Reporting/Analytics** | Not enough data | Not enough data | 
| **Predictive Analytics** | Not enough data | Not enough data | 
| **Visual Analytics** | Not enough data | Not enough data | 

#### Connectivity

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Hadoop Integration** | Not enough data | 8.2 (17 reviews) ✓ Verified | 
| **Spark Integration** | Not enough data | 8.6 (19 reviews) ✓ Verified | 
| **Multi-Source Analysis** | Not enough data | 8.3 (22 reviews) ✓ Verified | 
| **Data Lake** | Not enough data | 8.1 (19 reviews) ✓ Verified | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **Data Capture and Transfer** | Not enough data | Not enough data | 
| **Trend Analysis** | Not enough data | Not enough data | 
| **What-if Analysis** | Not enough data | Not enough data | 
| **Statistical Analysis** | Not enough data | Not enough data | 
| **Data Blending** | Not enough data | Not enough data | 
| **Ad hoc Analysis** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 

#### Operations

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Data Visualization** | Not enough data | 8.3 (22 reviews) ✓ Verified | 
| **Data Workflow** | Not enough data | 7.9 (21 reviews) ✓ Verified | 
| **Governed Discovery** | Not enough data | 8.2 (18 reviews) ✓ Verified | 
| **Embedded Analytics** | Not enough data | Feature Not Available | 
| **Notebooks** | Not enough data | Feature Not Available | 
| **Data Discovery** | Not enough data | Not enough data | 

#### Additional Functionality

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Data Warehousing** | Not enough data | Not enough data | 
| **Drag & Drop** | Not enough data | Not enough data | 
| **Activity Dashboard** | Not enough data | Not enough data | 
| **Data Connectors** | Not enough data | Not enough data | 
| **Ad hoc Reporting** | Not enough data | Not enough data | 
| **Customizable Reports** | Not enough data | Not enough data | 
| **Alerts/Escalation** | Not enough data | Not enough data | 
| **Templates** | Not enough data | Not enough data | 
| **Forecasting** | Not enough data | Not enough data | 
| **Data Migration** | Not enough data | Not enough data | 
| **Data Transformation** | Not enough data | Not enough data | 
| **Access Controls/Permissions** | Not enough data | Not enough data | 
| **API** | Not enough data | Not enough data | 
| **Data Cleansing** | Not enough data | Not enough data | 
| **Data Synchronization** | Not enough data | Not enough data | 
| **AI Copilot** | Not enough data | Not enough data | 
| **Dashboard Creation** | Not enough data | Not enough data | 
| **Data Extraction** | Not enough data | Not enough data | 
| **Data Security** | Not enough data | Not enough data | 
| **SSL Security** | Not enough data | Not enough data | 
| **Collaboration Tools** | Not enough data | Not enough data | 
| **No-Code** | Not enough data | Not enough data | 
| **High Volume Processing** | Not enough data | Not enough data | 
| **Database Support** | Not enough data | Not enough data | 
| **Search/Filter** | Not enough data | Not enough data | 
| **Generative AI** | Not enough data | Not enough data | 

### Big Data

| Product | Score | Reviews |
|---|---|---|
| **Azure Event Hubs** | N/A | N/A |
| **Confluent** | N/A | N/A |

#### Building Reports

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Data Transformation** | Not enough data | Not enough data | 
| **Data Modeling** | Not enough data | Not enough data | 
| **WYSIWYG Report Design** | Not enough data | Not enough data | 
| **Integration APIs** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 

#### Platform

| Feature | Azure Event Hubs | Confluent | 
|---|---|---|
| **Mobile User Support** | Not enough data | Not enough data | 
| **Customization ** | Not enough data | Not enough data | 
| **User, Role, and Access Management** | Not enough data | Not enough data | 
| **Internationalization** | Not enough data | Not enough data | 
| **Sandbox / Test Environments** | Not enough data | Not enough data | 
| **Performance and Reliability** | Not enough data | Not enough data | 
| **Breadth of Partner Applications** | Not enough data | Not enough data | 
| **Mobile Access** | Not enough data | Not enough data | 
| **Metadata Management** | Not enough data | Not enough data | 

---
## Categories
**Shared Categories (1):** [Stream Analytics Software](https://www.g2.com/categories/stream-analytics)


**Unique to Confluent (3):** [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics)


---
## Reviewer Demographics

### By Company Size

| Segment | Azure Event Hubs | Confluent | 
|---|---|---|
| **Small-Business** | 66.7% | 33.3% | 
| **Mid-Market** | 0% | 31.5% | 
| **Enterprise** | 33.3% | 35.1% | 

### By Industry

#### 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%

#### Confluent

- **Computer Software:** 21.8%
- **Information Technology and Services:** 15.5%
- **Financial Services:** 13.6%
- **Banking:** 5.5%
- **Retail:** 5.5%
- **Telecommunications:** 4.5%
- **Hospital & Health Care:** 2.7%
- **Automotive:** 1.8%
- **Semiconductors:** 1.8%
- **Computer & Network Security:** 1.8%
- **Other:** 25.5%

---
## Alternatives

### Alternatives to Azure Event Hubs

- [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) — 4.5/5 stars (131 reviews)
- [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) — 4.3/5 stars (90 reviews)
- [Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews) — 4.5/5 stars (39 reviews)
- [Apache Flink](https://www.g2.com/products/apache-flink/reviews) — 4.4/5 stars (17 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 (614 reviews)
- [Tealium](https://www.g2.com/products/tealium-2026-08-12/reviews) — 4.3/5 stars (477 reviews)
- [Informatica Data Integration and Engineering](https://www.g2.com/products/informatica-data-integration-and-engineering/reviews) — 4.3/5 stars (335 reviews)
- [Evam](https://www.g2.com/products/evam/reviews) — 4.8/5 stars (228 reviews)
- [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) — 4.0/5 stars (115 reviews)

### Alternatives to Confluent

- [Cloudera](https://www.g2.com/products/cloudera/reviews) — 4.2/5 stars (200 reviews)
- [Lenses](https://www.g2.com/products/lenses/reviews) — 4.2/5 stars (17 reviews)
- [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) — 4.5/5 stars (131 reviews)
- [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) — 4.3/5 stars (90 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 (24 reviews)
- [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) — 4.3/5 stars (245 reviews)
- [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) — 4.3/5 stars (433 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1363 reviews)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.6/5 stars (762 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews)

---
## Top Discussions

### Azure Event Hubs

No discussions available for this product.

### Confluent

No discussions available for this product.

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/azure-event-hubs-vs-confluent)