# Azure Event Hubs vs Lenses Comparison | | Azure Event Hubs | Lenses | |---|---|---| | **Star Rating** | 4.2 out of 5 | 4.2 out of 5 | | **Total Reviews** | 13 | 17 | | **Largest Market Segment** | Small-Business (66.7% of reviews) | Enterprise (50.0% of reviews) | | **Entry Level Price** | No pricing available | Free | --- ## Top Pros & Cons ### Azure Event Hubs **Not enough data** ### Lenses Pros: - Ease of Use (7 reviews) - User Interface (6 reviews) Cons: - Feature Limitations (5 reviews) - Limitations (5 reviews) --- ## Ratings Comparison | Rating | Azure Event Hubs | Lenses | |---|---|---| | **Meets Requirements** | 9.2 (8 reviews) | 8.2 (13 reviews) | | **Ease of Use** | 8.3 (8 reviews) | 9.4 (14 reviews) | | **Ease of Setup** | Not enough data | 7.6 (11 reviews) | | **Ease of Admin** | Not enough data | 8.8 (11 reviews) | | **Quality of Support** | 9.0 (7 reviews) | 7.4 (14 reviews) | | **Has the product been a good partner in doing business?** | Not enough data | 8.5 (10 reviews) | | **Product Direction (% positive)** | 8.7 (9 reviews) | 5.5 (13 reviews) | --- ## Pricing ### Azure Event Hubs #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Lenses #### Entry-Level Pricing Plan: Community Edition Price: Free Description: Run it now, for free, forever. Connect it to up to 2 Kafka clusters or your local instance. Key Features: - Full observability features - Supports all kafka vendors - 2 user accounts [Browse all 3 editions](https://www.g2.com/products/lenses/pricing) #### Free Trial Yes --- ## Features Comparison By Category ### Data Masking | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | 9.0/10 | 6 | #### Data Masking | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Sensitive Fields** | Not enough data | 8.6 (6 reviews) | | **Dynamic Masking** | Not enough data | 8.3 (5 reviews) | | **Static Masking** | Not enough data | 8.6 (6 reviews) | | **Consistent Masking** | Not enough data | 8.6 (6 reviews) | | **Random Masking** | Not enough data | 7.7 (5 reviews) | ### Event Stream Processing | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Data | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Processing** | Not enough data | 7.7 (5 reviews) | | **Data Sources** | Not enough data | Not enough data | | **Integration** | Not enough data | 7.7 (5 reviews) | | **Real-Time Processing** | Not enough data | 8.0 (5 reviews) | #### Analytics | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Reporting & Analytics** | Not enough data | 8.3 (5 reviews) | ### Data Governance | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Administration | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Modelling** | Not enough data | Not enough data | | **Recommendations** | Not enough data | Feature Not Available | | **Workflow Management** | Not enough data | Not enough data | | **Dashboards and Visualizations** | Not enough data | Not enough data | #### Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Business Glossary** | Not enough data | Feature Not Available | | **Data Discovery** | Not enough data | Not enough data | | **Data Profililng** | Not enough data | Not enough data | | **Reporting and Visualization** | Not enough data | Not enough data | | **Data Lineage** | Not enough data | Not enough data | #### Compliance | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Sensitive Data Compliance** | Not enough data | Not enough data | | **Training and Guidelines** | Not enough data | Not enough data | | **Policy Enforcement** | Not enough data | Not enough data | | **Compliance Monitoring** | Not enough data | Not enough data | #### Security | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Access Control** | Not enough data | Not enough data | | **Roles Management** | Not enough data | Not enough data | | **Compliance Management** | Not enough data | Not enough data | #### Data Quality | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Preparation** | Not enough data | Not enough data | | **Data Distribution** | Not enough data | Not enough data | | **Data Unification** | Not enough data | Not enough data | #### Maintainence | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Quality Management** | Not enough data | Not enough data | | **Policy Management** | Not enough data | Not enough data | #### Generative AI | Feature | Azure Event Hubs | Lenses | |---|---|---| | **AI Text Generation** | Not enough data | Not enough data | | **AI Text Summarization** | Not enough data | Not enough data | #### Agentic AI - Data Governance | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Autonomous Task Execution** | Not enough data | Not enough data | | **Multi-step Planning** | Not enough data | Not enough data | | **Cross-system Integration** | Not enough data | Not enough data | | **Adaptive Learning** | Not enough data | Not enough data | | **Natural Language Interaction** | Not enough data | Not enough data | | **Decision Making** | Not enough data | Not enough data | ### ETL Tools | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Reporting** | Not enough data | Not enough data | | **Auditing** | Not enough data | Not enough data | #### Functionality | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Extraction** | Not enough data | Not enough data | | **Transformation** | Not enough data | Not enough data | | **Loading** | Not enough data | Not enough data | | **Automation** | Not enough data | Not enough data | | **Scalability** | Not enough data | Not enough data | ### AIOps Platforms | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Functionality | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Artificial Intelligence** | Not enough data | Not enough data | | **Machine Learning** | Not enough data | Not enough data | | **Systems Monitoring** | Not enough data | Not enough data | #### Issue Resolution | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Root Cause Identification** | Not enough data | Not enough data | | **Proactive Identification** | Not enough data | Not enough data | | **Resolution Guidance** | Not enough data | Not enough data | #### Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **System Integration** | Not enough data | Not enough data | | **Alerting** | Not enough data | Not enough data | | **Reporting** | Not enough data | Not enough data | #### Generative AI | Feature | Azure Event Hubs | Lenses | |---|---|---| | **AI Text Generation** | Not enough data | Not enough data | | **AI Text Summarization** | Not enough data | Not enough data | #### Agentic AI - AIOps Platforms | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Autonomous Task Execution** | Not enough data | Not enough data | | **Multi-step Planning** | Not enough data | Not enough data | | **Cross-system Integration** | Not enough data | Not enough data | | **Adaptive Learning** | Not enough data | Not enough data | | **Natural Language Interaction** | Not enough data | Not enough data | | **Proactive Assistance** | Not enough data | Not enough data | | **Decision Making** | Not enough data | Not enough data | ### DataOps Platforms | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Data Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Integration** | Not enough data | Not enough data | | **Metadata** | Not enough data | Not enough data | | **Self-service** | Not enough data | Not enough data | | **Automated workflows** | Not enough data | Not enough data | #### Agentic AI - DataOps Platforms | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Autonomous Task Execution** | Not enough data | Not enough data | | **Multi-step Planning** | Not enough data | Not enough data | | **Cross-system Integration** | Not enough data | Not enough data | | **Adaptive Learning** | Not enough data | Not enough data | | **Decision Making** | Not enough data | Not enough data | #### Analytics | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Analytics capabilities** | Not enough data | Not enough data | | **Dasboard visualizations** | Not enough data | Not enough data | #### Monitoring and Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Data Observability** | Not enough data | Not enough data | | **Testing capabilities** | Not enough data | Not enough data | #### Cloud Deployment | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Hybrid cloud support** | Not enough data | Not enough data | | **Cloud migration capabilities** | Not enough data | Not enough data | #### Generative AI | Feature | Azure Event Hubs | Lenses | |---|---|---| | **AI Text Generation** | Not enough data | Not enough data | | **AI Text Summarization** | Not enough data | Not enough data | ### Data Observability | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Functionality | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Real-time Analytics** | Not enough data | Not enough data | | **Data quality monitoring** | Not enough data | Not enough data | | **Automation** | Not enough data | Not enough data | | **End to End visiblity** | Not enough data | Not enough data | #### Management | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Anomaly identification** | Not enough data | Not enough data | | **Single pane view** | Not enough data | Not enough data | | **Real-time alerts** | Not enough data | Not enough data | | **Data lineage** | Not enough data | Not enough data | | **Integrations** | Not enough data | Not enough data | #### Generative AI | Feature | Azure Event Hubs | Lenses | |---|---|---| | **AI Text Generation** | Not enough data | Not enough data | #### Agentic AI - Data Observability | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Autonomous Task Execution** | Not enough data | Not enough data | | **Multi-step Planning** | Not enough data | Not enough data | | **Cross-system Integration** | Not enough data | Not enough data | | **Natural Language Interaction** | Not enough data | Not enough data | | **Proactive Assistance** | Not enough data | Not enough data | ### Data Security | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Compliance | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Access Management** | Not enough data | Not enough data | | **At-Risk Analysis** | Not enough data | Not enough data | | **DLP Configuration** | Not enough data | Not enough data | | **Sensitive Data Compliance** | Not enough data | Not enough data | #### Administration | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Database Management** | Not enough data | Not enough data | | **Deduplication ** | Not enough data | Not enough data | | **Backup** | Not enough data | Not enough data | | **API / integrations** | Not enough data | Not enough data | #### Security | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Multi-Factor Authentication** | Not enough data | Not enough data | | **Data Transport** | Not enough data | Not enough data | | **Data Types** | Not enough data | Not enough data | | **Security Tools** | Not enough data | Not enough data | ### Big Data Processing and Distribution | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Database | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Real-Time Data Collection** | Not enough data | Not enough data | | **Data Distribution** | Not enough data | Not enough data | | **Data Lake** | Not enough data | Not enough data | #### Integrations | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Hadoop Integration** | Not enough data | Not enough data | | **Spark Integration** | Not enough data | Not enough data | #### Platform | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Machine Scaling** | Not enough data | Not enough data | | **Data Preparation** | Not enough data | Not enough data | | **Spark Integration** | Not enough data | Not enough data | #### Processing | Feature | Azure Event Hubs | Lenses | |---|---|---| | **Cloud Processing** | Not enough data | Not enough data | | **Workload Processing** | Not enough data | Not enough data | ### Big Data | Product | Score | Reviews | |---|---|---| | **Azure Event Hubs** | N/A | N/A | | **Lenses** | N/A | N/A | #### Building Reports | Feature | Azure Event Hubs | Lenses | |---|---|---| | **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 | #### Platform | Feature | Azure Event Hubs | Lenses | |---|---|---| | **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 | --- ## Categories **Shared Categories (1):** [Stream Analytics Software](https://www.g2.com/categories/stream-analytics) **Unique to Lenses (9):** [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [Data Governance Tools](https://www.g2.com/categories/data-governance-tools), [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing), [Data Masking Software](https://www.g2.com/categories/data-masking), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms), [Data Observability Software](https://www.g2.com/categories/data-observability), [ETL Tools](https://www.g2.com/categories/etl-tools), [AIOps Tools](https://www.g2.com/categories/aiops-platforms), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) --- ## Reviewer Demographics ### By Company Size | Segment | Azure Event Hubs | Lenses | |---|---|---| | **Small-Business** | 66.7% | 12.5% | | **Mid-Market** | 0% | 37.5% | | **Enterprise** | 33.3% | 50.0% | ### 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% #### Lenses - **Retail:** 12.5% - **Human Resources:** 12.5% - **Banking:** 12.5% - **Consulting:** 6.3% - **Transportation/Trucking/Railroad:** 6.3% - **Sports:** 6.3% - **Maritime:** 6.3% - **Leisure, Travel & Tourism:** 6.3% - **Information Technology and Services:** 6.3% - **Financial Services:** 6.3% - **Other:** 18.8% --- ## Alternatives ### Alternatives to Azure Event Hubs - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) — 4.5/5 stars (132 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 (91 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) — 4.3/5 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 (479 reviews) - [Evam](https://www.g2.com/products/evam/reviews) — 4.8/5 stars (226 reviews) - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) — 4.0/5 stars (117 reviews) ### Alternatives to Lenses - [Confluent](https://www.g2.com/products/confluent/reviews) — 4.4/5 stars (114 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) — 4.4/5 stars (724 reviews) - [New Relic](https://www.g2.com/products/new-relic/reviews) — 4.4/5 stars (586 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) — 4.5/5 stars (576 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) — 4.5/5 stars (1364 reviews) - [Egnyte](https://www.g2.com/products/egnyte/reviews) — 4.4/5 stars (1161 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1223 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.5/5 stars (756 reviews) - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) — 4.4/5 stars (2284 reviews) --- ## Top Discussions ### Azure Event Hubs No discussions available for this product. ### Lenses No discussions available for this product. --- **Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/azure-event-hubs-vs-lenses)