Apache Spark Streaming Room for Improvement

Oscar Estorach - PeerSpot reviewer
Chief Data-strategist and Director at theworkshop.es

The installation is difficult. You definitely need more than one person. That said, if you are implementing the cloud, it's easier.

The solution itself could be easier to use.

The solution is free to use as it is open-source.

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AbhishekGupta - PeerSpot reviewer
Engineering Leader at Walmart

The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better.

Apache Spark Streaming does not have auto-tuning. A customer needs to invest a lot, in terms of management and maintenance.

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JV
Head of Data Science at a energy/utilities company with 10,001+ employees

We would like to have the ability to do arbitrary stateful functions in Python.

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Buyer's Guide
Streaming Analytics
November 2022
Find out what your peers are saying about Apache, Amazon, Microsoft and others in Streaming Analytics. Updated: November 2022.
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VK
Chief Innovation & Technology Leader at a mining and metals company with 1,001-5,000 employees

There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused. For example, it is still not plug and play and use as some of the cloud offerings that come ready to use. It is not up there in the reading leading edge.

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Buyer's Guide
Streaming Analytics
November 2022
Find out what your peers are saying about Apache, Amazon, Microsoft and others in Streaming Analytics. Updated: November 2022.
656,474 professionals have used our research since 2012.