Azure Data Lake Store vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Store | Confluent |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 40 | 117 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 9.3 | 8.3 |
| Quality of support | 9.2 | 8.5 |
| Meets requirements | 9.3 | 8.9 |
| NPS | 72.972973 | 59.292035 |
| Small Business | 27.5% | 34.2% |
| Mid-Market | 27.5% | 29.9% |
| Enterprise | 45.0% | 35.9% |
| Total page views | 165 | 757 |
| Total LLM citations | 79 | 7,445 |
Azure Data Lake Store
Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data silos by providing a single storage platform that supports structured, semi-structured, and unstructured data. This service is optimized for high-performance analytics workloads, allowing businesses to derive insights from their data efficiently.
- Easy Integrations
- Fast Processing
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