In the last few years, Apache Kafka has become one of the most popular open-source streaming platforms. From startups to large enterprises, many organizations use Kafka for its high throughput and low latency capabilities.
But for those new to Kafka, the question often arises – Who uses Kafka and why? So let us take a look.
Who needs Kafka?
- Organization that needs a fault-tolerant, scalable, high-throughput system
Kafka is often used in mission-critical applications where data needs to be processed as soon as it is generated. For example, Kafka is used in real-time streaming data architectures to provide low-latency, high-throughput pipelines that enable collecting and processing large stream data sets.
- Where data needs to be processed in real-time
Kafka is used in many real-time data processing systems, such as online gaming, financial trading, log aggregation, metering and monitoring, clickstream analysis, and geo-tracking. These applications need to process data as it arrives to get the most up-to-date results.
- Where data needs to be processed in batches
It is a common approach for dealing with large data sets that can't be processed in real-time. For example, Kafka can process historical data like log files from web servers.
- Where there is a need for high availability
Kafka was designed with high availability in mind. It can be deployed in a cluster and replicated across multiple servers.
There are several reasons why Kafka is a popular choice for dealing with streaming data:
- Stream processing is a new and growing area
Kafka is popular for stream processing because it is a relatively new technology. It is still being developed and improved, and there is a lot of excitement around it.
- Offers real-time data analysis
Kafka can be used to perform real-time data analysis. This is because it can process data as it comes in without waiting for all the data to be collected before processing it.
- Metrics collection and monitoring
Kafka can be used to collect and monitor metrics. This is because it can store data in a compact format that is easy to query.
- Tracking of website activity
LinkedIn uses Kafka to track the activity on its website. With the help of Kafka, website activity can be tracked in real-time. This is possible because it can process data as it comes in without waiting for all the data to be collected before processing it.
There's no doubt that Kafka is a powerful tool that can be used in several ways. It's a versatile tool that can be used for things like real-time data processing, monitoring, and metrics collection. If you're looking for a tool to help you with these things, then Kafka is worth considering.