Antwort Does Spotify use Kafka? Weitere Antworten – Which company use Kafka
Today, Kafka is used by thousands of companies including over 80% of the Fortune 100. Among these are Box, Goldman Sachs, Target, Cisco, Intuit, and more.Messaging and Streaming: Kafka and Flink
This is where messaging and streaming technologies come into play. Netflix uses Apache Kafka for messaging and Apache Flink for stream processing, which are crucial in its backend infrastructure.Since its inception over a decade ago, Kafka has matured into the de facto standard for data streaming, because it has the following advantages: Scalability — up to trillions of messages per day, thousands of topics split into tens of thousands of partitions and hundreds (or even thousands) of brokers.
What is the real world example of Apache Kafka : Let's take an example of Flipkart, when you visit flipkart & perform any action like search, login, click on a product etc all of these events are captured. Tracking event will create a message stream for this based on the kind of event it'll go to a specific topic by Kafka Producer.
What apps use Kafka
Apache Kafka Applications
- LinkedIn. In 2010, LinkedIn developed Apache Kafka.
- Uber. Uber use Kafka as a message bus to connect different parts of the ecosystem.
- Twitter.
- Netflix.
- Oracle.
- Mozilla.
How big companies use Kafka : Customers of Apache Kafka
| Customers | Employee Range | Country |
|---|---|---|
| Stanford University | 10,000+ | United States |
| Southern California Edison | 10,000+ | United States |
| Advanced Micro Devices, Inc. | 10,000+ | United States |
| Rheem Manufacturing Company | 10,000+ | United States |
Top Aiven for Apache Kafka Alternatives
- Amazon Kinesis Data Analytics.
- Confluent Platform.
- Google Cloud Dataflow.
- Apache Storm.
- Cribl Stream.
- Azure Stream Analytics.
- Red Hat Decision Manager.
- Cloudera DataFlow.
It provides a data store optimized for ingesting and processing streaming data in real-time and, as such, can be used for real-time data pipelines, stream processing, and data integration at scale. Kafka was initially developed at LinkedIn in 2011 for performing data analytics on user activity in social networking.
Why not to use Kafka
Here are some of the reasons: Latency: Kafka is designed to handle large volumes of data, but there can be some latency in processing the data. This latency can increase as the volume of data increases, making it less suitable for real-time processing where low latency is critical.Deciding Between Kafka and RabbitMQ
While Kafka is best suited for big data use cases requiring the best throughput, RabbitMQ is perfect for low latency message delivery and complex routing. There are some common use cases for both Kafka and RabbitMQ.Uber relies on Apache Kafka for uninterrupted data flow and business continuity.
Microsoft provides a 99.9% Service Level Agreement (SLA) on Kafka uptime. For more information, see the SLA information for HDInsight document. It uses Azure Managed Disks as the backing store for Kafka. Managed Disks can provide up to 16 TB of storage per Kafka broker.
Why not use Apache Kafka : This one is pretty straightforward and related to the above section. Kafka is not a deterministic system. Safety-critical applications cannot use it for a car engine control system, a medical system such as a heart pacemaker, or an industrial process controller.
What is the Google equivalent of Kafka : Pub/Sub
Pub/Sub provides features similar to Kafka 2.0 error handling and to how Kafka Connect handles dead-letter topics. To notify Pub/Sub that a message was delivered successfully, subscribers to Pub/Sub topics can acknowledge messages that they receive and process.
When Kafka is overkill
For small to medium-sized systems with moderate data processing needs, integrating Kafka might be excessive. If your system doesn't require real-time data streaming or doesn't deal with an extensive volume of events, simpler messaging systems may suffice without the added complexity that Kafka introduces.
Other important factors to consider when researching alternatives to Apache Kafka include communication. We have compiled a list of solutions that reviewers voted as the best overall alternatives and competitors to Apache Kafka, including Confluent, Google Cloud Pub/Sub, MuleSoft Anypoint Platform, and IBM MQ.Apache Kafka is not the right technology for safety-critical latency requirements. Soft real-time is data processing in a non-deterministic network with potential latency spikes . Data is processed in near real-time. That can be microseconds, milliseconds, seconds, or slower.
Why use Kafka instead of RabbitMQ : Deciding Between Kafka and RabbitMQ
Your decision will however depend on your specific user case. While Kafka is best suited for big data use cases requiring the best throughput, RabbitMQ is perfect for low latency message delivery and complex routing. There are some common use cases for both Kafka and RabbitMQ.