Spark Streaming Pros and Cons

APIs of Spark is very powerful for data pre processing.

SQL interface is very user friendly

Faster compared to any other big data tool Review collected by and hosted on G2.com.

Documentation would have been improved. It becomes very easy to use if they've well written documentation, we don't have to visit other sites like this.

Debugging is particularly hard. Review collected by and hosted on G2.com.

Apache Spark is able to gather and process an enormous amount of data... it can almost be overwhelming. Spark is incredibly fast and powerful compared to the service we previously used. We really like the data output that Spark provides. It allows us to boil down huge data sets to something digestable and presentable. Review collected by and hosted on G2.com.

The set up and initial implementation was a nightmare for us. This could be in part to our previous provider and the shortcomings we had with them. The transition to a more fully functional tool was not easy. As with any upgrade, there is a learning curve and we are still working through ours, especially when it comes to training new users. Review collected by and hosted on G2.com.

I loved using this software at IBEX Global when I worked with their DirecTV campain. This made my job so much easier because I could chat with our managers and also our Tech support that was above me as well as other co-workers to assist with any questions or help I needed on the call or to help other people. As well this helped me to chat to make sales to the customers or to know to take over someone elses call for them if needed. This was an amazing way to communicate through out the office. This like never froze up and saved your previous chats from that day. Review collected by and hosted on G2.com.

I just wish that Spark would have saved all messages instead of clearing them when you log out. It would have been helpful to have those messages later to search through that way I could have reflected on past conversations and issues just in case I ran into the issue again. Review collected by and hosted on G2.com.

user friendly environment

easy to do batch processing

It increases the throughput

data input can be from many source

it uses complex algorithm

can develop real time dashboard of the real time data

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there is no proper file management system

all the process are divided into batches and processed

data are kept in memory which consumes more Amount of RAM Review collected by and hosted on G2.com.

The best thing about spark streaming is that it helps in processing of huge data and algorithms with a faster pace.It saves on time and is not like its other bogus streaming competitor's products. Review collected by and hosted on G2.com.

The worst thing about it is its interface.Its difficult to work upon it without prior training. Review collected by and hosted on G2.com.

The processing of live data streams is a scalable, high performance and fault tolerant tool. It has the capacity to process a large number of algorithms and functions that form data packets and has the ability to process data continuously. Review collected by and hosted on G2.com.

Not all of these models or versions are compatible with all types of data sources. Review collected by and hosted on G2.com.

1. Processing of huge amount of data in lesser time.

2. Fault tolerance feature

3. Re-usability of code for batch processing

4. In memory computation Review collected by and hosted on G2.com.

1. No file management system

2. Takes longer time with small files

3. Less active community Review collected by and hosted on G2.com.

The tool is easy to use and very simple to understand. Also there are no faults in it Review collected by and hosted on G2.com.

There are no things until now that I have disliked about the tool. Review collected by and hosted on G2.com.

Processing huge dataset in an optimal way to improve performance Review collected by and hosted on G2.com.

Slow/sluggish system and errors, where data workflows and pipeline fails for any reason, Review collected by and hosted on G2.com.

I love the fact that when spark streaming you are able to build scalable streaming applications and this can be done more than one at a time. Review collected by and hosted on G2.com.

I haven't dug deep enough into the software thus far to find anything that I don't dislike about the software. Review collected by and hosted on G2.com.