Compare Amazon MSK vs. Vitria VIA
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Top Answer: MSK has a private network that's an out-of-box feature.
Top Answer: MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise. MSK has a private network that's an out-of-the-box feature. For our case, we needed something… more »
Top Answer: Behind the scenes, we use Kafka. We tried using MSK to collect old data surrounding inventory from e-commerce websites, for example.
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Compared 75% of the time.
Compared 18% of the time.
Compared 4% of the time.
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Amazon Managed Streaming for Apache Kafka
VIA, VIA Analytics Platform
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.
VIA by Vitria is an agile analytics platform enabling rapid design, development, and deployment of solutions that solve problems by making sense of data - even the volume and speed of data coming from IoT devices. Agile analytics enables companies to react quickly to changes and improve business outcomes.
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Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Telefonica
Computer Software Company27%
Comms Service Provider17%
Media Company17%
Financial Services Firm9%
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Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: April 2021.
475,291 professionals have used our research since 2012.
Amazon MSK is ranked 7th in Streaming Analytics with 1 review while Vitria VIA is ranked 31st in Streaming Analytics. Amazon MSK is rated 8.0, while Vitria VIA is rated 0.0. The top reviewer of Amazon MSK writes "Allows you to build and run applications easily". On the other hand, Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Apache Flink, whereas Vitria VIA is most compared with .
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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.