Azure Data Lake Analytics vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | Confluent |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 37 | 117 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.6 | 8.3 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 50 | 59.292035 |
| Small Business | 19.4% | 34.2% |
| Mid-Market | 27.8% | 29.9% |
| Enterprise | 52.8% | 35.9% |
| Total page views | 95 | 757 |
| Total LLM citations | 35 | 7,445 |
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
Confluent
Today’s customers expect every digital experience to be immediate, connected, and personalized. That takes more than data at rest - it takes trusted data in motion. Confluent is the complete Data Streaming Platform for keeping data in motion from the moment business change occurs through processing, governance, and serving. Built by the original creators of Apache Kafka®, Confluent connects applications, services, and systems; processes streams in real time with Apache Flink®; and serves trusted, always-current data wherever it is needed across cloud, hybrid, and self-managed environments.
- Streaming
- Scaling
- Data Integration
- Easy Integrations
- Features
- User Interface