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The Eventador Platform Review

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Very good

Revainrating 4 out of 5  
Rating 
4.0
IT Infrastructure, Data Integration

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Description of The Eventador Platform

Eventador ESP simply and quickly paves the way for using distributed log technologies as your enterprise data bus to deliver a secure, unified platform for managing critical streaming data processors. Whether you already have an Apache Kafka deployment or are looking to get started, Eventador’s ESP provides the fully managed Apache Kafka, Apache Flink, connectors, endpoints, observability, and features needed to democratize data throughout the enterprise. By enabling these with the simple push of a button, users aren’t forced into specific streaming configurations. Instead, they build, deploy and update an internal, self-service platform that directly fits their needs. The 24x7x365 expert support means not worrying about massive man hours to update, optimize or troubleshoot your stream processing platform—we work directly with you to ensure that everything is operating smoothly at all times.

Reviews

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Type of review

Revainrating 4 out of 5

Eventhor helped me get started quickly

I like that there is zero code involved in getting up and running with stream processing from event sources. It was easy enough to set up so it doesn't require much prior knowledge of streams/stream processing (even though they offer good tutorials). When we decided to go ahead with this product - even before any testing phase had taken place - their support team went above & beyond by providing us several additional resources including sample use cases via Github that could be used immediately

Pros
  • Ease of use, low latency, high throughput, ability to integrate easily with other systems
Cons
  • Nothing if you are looking for a stream processing solution, go for it

Revainrating 4 out of 5

Best Event sourcing and business insights

It is very easy to set up with minimal configuration required from our side which was really good experience so far! We haven't faced any issue yet but I would like if they will fix some of their minor bugs/issues in future releases because it's not that bad at all!! Currently we use this tool only when there is need of real time analytics then why should one go through other tools? This helps us solve problems related to event processing where events keep coming into stream every second hence…

Pros
  • Easy installation
  • Efficient for handling big amount data.
  • Can scale easily by adding more CPUs or memory resources etc
  • Reduce latency between receiving input streams & getting output results back via API services (even though, sometimes you may have an instance fail over)
Cons
  • Sometimes hard code errors occur mostly due wrong placement / order
  • In case no response comes after sometime , its better just