Apache Spark Pros and Cons
Apache Spark Pros
I feel the streaming is its best feature.View full review »
I found the solution stable. We haven't had any problems with it.View full review »
The most valuable feature of this solution is its capacity for processing large amounts of data.View full review »
The features we find most valuable are the machine learning, data learning, and Spark Analytics.View full review »
The main feature that we find valuable is that it is very fast.View full review »
The scalability has been the most valuable aspect of the solution.View full review »
The solution is very stable.View full review »
The processing time is very much improved over the data warehouse solution that we were using.View full review »
Features include machine learning, real time streaming, and data processing.
The fault tolerant feature is provided.
It provides a scalable machine learning library.View full review »
Apache Spark Cons
When you want to extract data from your HDFS and other sources then it is kind of tricky because you have to connect with those sources.View full review »
It needs a new interface and a better way to get some data. In terms of writing our scripts, some processes could be faster.View full review »
When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data.View full review »
We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data.View full review »
We use big data manager but we cannot use it as conditional data so whenever we're trying to fetch the data, it takes a bit of time.View full review »
The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive.View full review »
The solution needs to optimize shuffling between workers.View full review »
I would like to see integration with data science platforms to optimize the processing capability for these tasks.View full review »
It should support more programming languages.
Needs to provide an internal schedule to schedule spark jobs with monitoring capability.View full review »