Amazon Kinesis Data Streams
4.2
79

Not Claimed

Amazon Kinesis Data Streams is a scalable and cost-effective streaming data service that can capture large amounts of data from various sources in real-time. It is used for real-time analytics, such as anomaly detection and dynamic pricing, and is capable of processing tens of petabytes of data per day.
Developer
Amazon Web Services (AWS)
HQ Location
Seattle, WA
Year Founded
2006
Number of Employees
127,329
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Strengths
  • Scalability

    Ability to handle large amounts of data

  • Real-time processing

    Data is processed in real-time

  • Integration with AWS ecosystem

    Seamless integration with other AWS services

Weaknesses
  • Complexity

    Can be difficult to set up and manage

  • Cost

    Can be expensive for large amounts of data

  • Limited functionality

    May not have all the features needed for certain use cases

Opportunities
  • Increasing need for real-time data processing in various industries
  • Potential for new integrations with other AWS services
  • Potential for new applications of real-time data processing
Threats
  • Competition from other real-time data processing solutions
  • Growing concerns over data privacy and security
  • Potential changes in regulations that could impact data processing and storage

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Amazon Kinesis Data Streams Plan

Amazon Kinesis Data Streams charges based on the number of shards and data volume, with a free version available.
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