Apache Spark for Azure HDInsight vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Confluent |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 13 | 117 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 8.9 | 8.3 |
| Quality of support | 8.7 | 8.5 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 30.769231 | 59.292035 |
| Small Business | 16.7% | 34.2% |
| Mid-Market | 58.3% | 29.9% |
| Enterprise | 25.0% | 35.9% |
| Total page views | 105 | 757 |
| Total LLM citations | 29 | 7,445 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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