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.
| Product | Mindshare (%) |
|---|---|
| Amazon Kinesis | 5.2% |
| Apache Flink | 10.9% |
| Databricks | 9.0% |
| Other | 74.9% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Streaming Analytics | Apr 1, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Apr 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Databricks | Apr 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Azure Stream Analytics | Apr 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Apache Flink | Apr 1, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | 9.0% | 96% | 93 interviewsAdd to research |
| Confluent | 4.1 | 6.9% | 95% | 25 interviewsAdd to research |
Amazon Kinesis was previously known as Amazon AWS Kinesis, AWS Kinesis, Kinesis.
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| Author info | Rating | Review Summary |
|---|---|---|
| AWS Cloud Architect at a healthcare company with 10,001+ employees | 3.5 | I am using Amazon Kinesis for real-time streaming, drawn to its easy setup, comprehensive documentation, and seamless AWS integration. Its competitive pricing and KCL library documentation need improvement. We considered Kafka but preferred Kinesis for its ease and AWS compatibility. |
| Director of Software Development at a tech vendor with 10,001+ employees | 4.5 | We've used Amazon Kinesis for reliable stream processing of on-premise security events, leveraging real-time analytics and smooth AWS integration, but are considering alternatives due to high costs despite its excellent stability, scalability, and Lambda integration. |
| Senior Software Engineer at JPMorgan Chase & Co. | 4.0 | We use Amazon Kinesis for media and live-streaming data, valuing its real-time data streaming capabilities for call monitoring and transcripts. However, the two-minute time delay in live streaming could be improved. Our deployment is on AWS. |
| Senior Engineering Consultant at ASSURANCE IQ, INC. | 4.5 | In our project, we utilize Amazon Kinesis for logging and temporary buffering, finding its scalability and ease of use valuable. It replaced direct API calls to data warehouses and seamlessly integrates with other analytical tools without needing additional features. |
| Data Engineer at Tiger Analytics | 4.5 | I use Amazon Kinesis Data Streams in my company similarly to Kafka topics. It's a managed service that handles automatic scaling, though it has hard limits leading to throughput errors. We consolidated multiple jobs into one to address this issue. |
| Solutions Architect & PMO at AS TV Play Baltics/TV3 Group | 4.0 | Our company uses Amazon Kinesis to integrate data into our data lake as part of our processing workflow. While it serves its primary purpose well, integrating AI for data processing would be beneficial. However, adding too many features may affect its efficacy. |
| Senior Director of Product Management at Sprinklr | 4.0 | I use Amazon Kinesis for data streaming, mainly to integrate with Redshift and Amazon Connect configurations. It's easy to configure and test but needs improvement in reducing delays, especially with Kinesis Video Streams, for seamless third-party integration. |
| DevOps Engineer at Bipolar Factory | 4.0 | I use Amazon Kinesis in my company for streaming AI-based camera data, appreciating its data streaming and real-time analytics features. However, its machine learning capabilities require improvement to enhance user learning and daily operations. |
