Elastic Stack vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Elastic Stack | Confluent |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 109 | 117 |
| Ease of use | 8.3 | 8.6 |
| Ease of setup | 8.0 | 8.3 |
| Quality of support | 8.4 | 8.5 |
| Meets requirements | 9.1 | 8.9 |
| NPS | 69.52381 | 59.292035 |
| Small Business | 22.2% | 34.2% |
| Mid-Market | 43.5% | 29.9% |
| Enterprise | 34.3% | 35.9% |
| Total page views | 505 | 757 |
| Total LLM citations | 1,347 | 7,445 |
Elastic Stack
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data.
- Ease of Use
- Log Management
- Versatility
- Search Efficiency
- Flexibility
- Dashboard Usability
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