They ran a third set of data to see which was correct, only to find that it was completely different as well!Īt each turn, developers were forced to create an increasingly complex system that was too complicated and slowed them down. At one point, while working with data, they found discrepancies between two sets. It was an overly complex system, and they struggled to get the reliable feeds of data they needed to accomplish tasks. They operated many data systems, which were all connected and tangled together. At the time, they did make use of some services, but they proved to be a poor fit and were hard to manage as LinkedIn continued to grow.Īdditionally, LinkedIn had issues with its data pipeline. However, this started to create serious issues with data.įor one thing, the engineers and developers needed a better option for the various real-time applications on their site, such as LinkedIn’s newsfeed. In 2010, LinkedIn was quickly growing its user base and business. Here’s what you need to know about Kafka and why it’s a popular choice for many enterprises. Apache Kafka can harness these large streams of data to provide a solution for a wide variety of businesses. So it's a message queue, but it's also more than a message queue.ĭata in real-time is non-negotiable for many large companies. It can be used for a variety of purposes: metrics, messaging, and stream processing are just a few. Their open-source structure makes them ideal as a message queue since it enables them to continue to grow and be refined by some of the top innovators. So why is it taking enterprises by storm?Īs a data pipeline, Kafka offers unique solutions to companies that need scalable streaming. In addition to top tech companies adopting Kafka, it's gaining popularity among organizations that are usually slow to adopt new technology. In fact, more than a third of the Fortune 500 companies use Kafka, including PayPal, Microsoft, and Uber. Apache Kafka is a popular choice for organizations that need to collect, move, and store large amounts of data.
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