amazon-kinesis-vs-apache-kafka

Apache Kafka and Amazon Kinesis are both streaming analytics software solutions that perform real-time reporting and create visualizations on streaming data collected from multiple sources. Businesses of all sizes use both software options, but larger organizations are more likely to use Apache Kafka, while Amazon Kinesis users are evenly spread across businesses of all sizes.

Features

Apache Kafka and Amazon Kinesis both offer essential streaming analytics features, including reporting and visualization creation, but they also have a few features that set them apart from each other.

Apache Kafka is an open-source technology. Being open-source means that Apache Kafka’s code is available for free, and an active community of developers is continuously contributing to it, resulting in quick bug fixes and feature updates. Apache Kafka can be deployed on-premises, on the cloud, or with a hybrid approach. In addition to flexible deployments, Apache Kafka is also very scalable and allows for the analysis of huge amounts of data.

Amazon Kinesis is built to run on AWS and integrate with other AWS technologies, making it a great choice for organizations that need to analyze data from AWS software. Additionally, Amazon Kinesis requires minimal configuration for features like data replication. The usability of Amazon Kinesis can make it more usable for an organization with few technical staff members. Amazon Kinesis also provides high performance and reporting speed.

Limitations

Apache Kafka and Amazon Kinesis both provide robust features, but they also have a few limitations.

Apache Kafka offers greater flexibility in deployment and scale, but it doesn’t integrate as well with AWS technologies compared to Amazon Kinesis. Additionally, Apache Kafka requires technical users or vendor support for configuration and implementation. Lastly, Apache Kafka performs slightly slower than Amazon Kinesis.

Amazon Kinesis offers usability and performance but lacks flexibility. Organizations must use a cloud deployment for Amazon Kinesis, as opposed to Apache Kafka’s multiple deployment options. Additionally, Amazon Kinesis isn’t open-source, which limits how low costs can be compared to DIY Apache Kafka implementations. Lastly, Amazon Kinesis is not as scalable as Apache Kafka due to a limited amount of shards, which hold data to be analyzed.

Pricing

Apache Kafka is an open-source technology, but if a company decides to go with a vendor, pricing can vary depending on the vendor chosen, level of support, and type of deployment. Though pricing can vary a lot, it can start as low as $40.00 per month.

Amazon Kinesis pricing depends on region, the number of shards, and optional features such as enhanced data retention. Though pricing can vary greatly, organizations can expect the essential features to start around $50.00 per month.