

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.
| Product | Mindshare (%) |
|---|---|
| AWS Lambda | 14.5% |
| Amazon EC2 | 14.4% |
| AWS Fargate | 9.5% |
| Other | 61.6% |
| Product | Mindshare (%) |
|---|---|
| IBM Streams | 2.1% |
| Databricks | 7.4% |
| Apache Flink | 6.9% |
| Other | 83.6% |


| Company Size | Count |
|---|---|
| Small Business | 37 |
| Midsize Enterprise | 14 |
| Large Enterprise | 46 |
AWS Lambda offers a serverless architecture that facilitates seamless integration with other AWS services, providing rapid scalability and cost efficiency. It supports event-driven computing and multiple programming languages, allowing for automatic scaling and enhanced performance.
AWS Lambda is favored for its ease of integration with AWS services like S3, API Gateway, and DynamoDB, ensuring efficient application and scaling. It supports rapid deployment with low coding requirements, parallelism, and event-triggered execution, making it suitable for event-driven processes, API services, data processing, and backend functions. While improvements in integration with external services, execution time limits, cold start latency, and support for more programming languages are needed, its price and monitoring tools could be optimized further. Users desire simplified deployments and improved documentation, especially for high-demand applications.
What are AWS Lambda's most valuable features?AWS Lambda is widely used in industries like IoT, finance, and education for its ability to handle image processing, authentication, and real-time notifications. Its flexibility and integration capabilities make it suitable for integrating CI/CD pipelines, automating workloads, and supporting event-driven processes across diverse industry applications.
IBM Streams is a real-time analytics platform providing enhanced data processing capabilities for large-scale data sets, enabling enterprises to swiftly analyze and act on data-in-motion.
IBM Streams offers a robust infrastructure for processing high-velocity data, enabling the analysis and monitoring of streaming data in real time. It supports the development of applications that handle massive volumes of data with low latency. It seamlessly integrates into existing ecosystems, ensuring real-time insights are accessible across various channels. IBM Streams is especially suited for industries requiring dynamic data management capabilities.
What are the key features of IBM Streams?In finance, IBM Streams is used for monitoring trading activities and fraud detection, ensuring compliance and reducing risk. In healthcare, it analyzes patient data streams for immediate decision-making. Retailers utilize it for inventory management and customer behavior analytics, aligning offers in real-time with customer interests.
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