Amazon Kinesis vs Azure Stream Analytics

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Amazon Kinesis

769
579
+ 1
9
Azure Stream Analytics

7
2
+ 1
0
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Pros of Amazon Kinesis
Pros of Azure Stream Analytics
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    Scalable
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    Cons of Amazon Kinesis
    Cons of Azure Stream Analytics
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      Cost
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      No Stats

      What is Amazon Kinesis?

      Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

      What is Azure Stream Analytics?

      As a company, and as individuals, we value integrity, honesty, openness, personal excellence, constructive self-criticism, continual self-improvement, and mutual respect. We are committed to our customers and partners and have a passion for technology. We take on big challenges, and pride ourselves on seeing them through. We hold ourselves accountable to our customers, shareholders, partners, and employees by honoring our commitments, providing results, and striving for the highest quality.

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      What companies use Amazon Kinesis?
      What companies use Azure Stream Analytics?
      See which teams inside your own company are using Amazon Kinesis or Azure Stream Analytics.
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      What tools integrate with Amazon Kinesis?
      What tools integrate with Azure Stream Analytics?
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        Blog Posts

        Jul 2 2019 at 9:34PM

        Segment

        Google AnalyticsAmazon S3New Relic+25
        10
        6515
        GitHubPythonNode.js+47
        53
        71246
        GitHubDockerAmazon EC2+23
        12
        6458
        GitHubMySQLSlack+44
        109
        50487
        What are some alternatives to Amazon Kinesis and Azure Stream Analytics?
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        Amazon SQS
        Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
        Amazon Kinesis Firehose
        Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.
        Firehose.io
        Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
        See all alternatives