Amazon Kinesis provides real-time data streaming with seamless AWS integration, ideal for analytics, data transformation, and external customer feeds. It offers cost-effective data management with high throughput and low latency, supporting multiple programming languages.
| Product | Mindshare (%) |
|---|---|
| Amazon Kinesis | 4.5% |
| Apache Flink | 8.9% |
| Databricks | 8.1% |
| Other | 78.5% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Streaming Analytics | May 1, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Databricks | May 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Azure Stream Analytics | May 1, 2026 | Download |
| Comparison | Amazon Kinesis vs Apache Flink | May 1, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | 8.1% | 96% | 93 interviewsAdd to research |
| Confluent | 4.1 | 6.6% | 95% | 25 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 9 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 100 |
| Midsize Enterprise | 52 |
| Large Enterprise | 170 |
Amazon Kinesis enables organizations to manage real-time data streams efficiently. Its integration with AWS ensures seamless setup and operation, while features like auto-scaling and fault tolerance make it reliable for diverse data sources such as IoT devices and server logs. The platform's ability to handle large-scale event-driven systems and dynamic workloads makes it suitable for complex streaming architectures. Despite some challenges with costs and setup complexity, Kinesis remains a popular choice for its efficient data management and processing capabilities.
What are the key features of Amazon Kinesis?In industries such as IoT, finance, and entertainment, Amazon Kinesis facilitates the real-time ingestion and processing of data streams. It connects seamlessly to data lakes and warehouses, enabling businesses to harness data-driven insights without performance loss. This capability is essential for managing dynamic workloads and large-scale event systems. By supporting tools like KDS, Firehose, and Video Streams, Kinesis empowers organizations to respond quickly to changing data environments, enhancing operational effectiveness across different sectors.
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 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. |
| 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. |
| 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. |
| Director AWS at NeuraFlash India Pvt Ltd | 4.0 | We use Amazon Kinesis with Amazon Connect for voice and screen recording, valuing its VideoStream and DataStream features for real-time streaming. The product meets our needs effectively, requiring no improvements, and serves primarily developers and architects. |
| AWS / Big Data Engineer at Waste Management, Inc. | 4.0 | I use Amazon Kinesis on AWS for ingesting data from sources like OCS for analysis and reporting. I value its speed and data reliability but feel the pricing could be improved. Overall, it meets our needs effectively. |
