Kafka collects, handles, and processes a high volume of data for both online and offline consumption. It is extremely fast and prevents data loss. Some of the key benefits of using Kafka are summarized below -
- Reliable data integration - Kafka can efficiently integrate with any data source within the information system to distribute, partition, and replicate data without any faults.
- Scalable - Kafka is easily scalable with high throughput.
- High fault tolerance - Kafka offers stable performance throughout with high fault tolerance which makes it perfect to be used in leading financial industries for fraud detection and IoT.
- Monitoring data - Kafka finds its applications in monitoring operational data for producing centralized feed. You can also obtain real-time metrics from the data.
- Stream processing - It tracks web activities and performs real-time computations to store and process streams of data at any scale. It also undergoes continuous processing of data into topics.
- High performance - Kafka offers high and error-free performance for both subscribing and publishing the messages. It is very durable in collecting multiple logs and stream processing.
- Transforming data - Kafka is used in many industries to handle unlimited feeds and collect logs from multiple services. These are then converted into the standard format.
- Zero downtime - Kafka is very flexible and guarantees zero downtime.