Confluent and Amazon Kinesis are two competing products in the realm of real-time data streaming. Amazon Kinesis takes the lead in scalability, while Confluent stands out for better integration options, making it preferred for enterprises with diverse data ecosystems.
Features: Confluent provides robust Kafka integration, a comprehensive selection of data connectors, and supports various data formats. Amazon Kinesis excels with seamless AWS integration, superior scalability, and strong data processing capabilities.
Room for Improvement: Confluent could improve in areas such as initial setup complexity, on-premise adjustments, and deployment customization. Amazon Kinesis may enhance multi-cloud integration, improve connection with non-AWS services, and optimize real-time data latency.
Ease of Deployment and Customer Service: Amazon Kinesis benefits from strong AWS support and straightforward integration within AWS. Confluent offers versatile deployment options, both on-premises and in the cloud, though it may require more initial setup.
Pricing and ROI: Confluent's pricing model may lead to higher initial costs but offers better ROI through tailored Kafka solutions. Amazon Kinesis offers competitive pricing within AWS and beneficial scalability, often resulting in lower costs for high-volume processing.
| Product | Market Share (%) |
|---|---|
| Amazon Kinesis | 5.6% |
| Confluent | 6.8% |
| Other | 87.6% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.
Confluent has integrated cutting-edge features that are designed to enhance these tasks:
Confluent is a more complete distribution of Kafka in that it enhances the integration possibilities of Kafka by introducing tools for managing and optimizing Kafka clusters while providing methods for making sure the streams are secure. Confluent supports publish-and-subscribe as well as the storing and processing of data within the streams. Kafka is easier to operate and build thanks to Confluent.
Confluent's software is available in three different varieties:
Confluent Advantage Features
Confluent has many valuable key features. Some of the most useful ones include:
Reviews from Real Users
Confluent stands out among its competitors for a number of reasons. Two major ones are its robust enterprise support and its open source option. PeerSpot users take note of the advantages of these features in their reviews:
Ravi B., a solutions architect at a tech services company, writes of the solution, “KSQL is a valuable feature, as is the Kafka Connect framework for connecting to the various source systems where you need not write the code. We get great support from Confluent because we're using the enterprise version and whenever there's a problem, they support us with fine-tuning and finding the root cause.”
Amit S., an IT consultant, notes, “The biggest benefit is that it is open source. You have the flexibility of opting or not opting for enterprise support, even though the tool itself is open source.” He adds, “The second benefit is it's very modern and built on Java and Scala. You can extend the features very well, and it doesn't take a lot of effort to do so.”
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