Spark Pros and Cons

Its provides libraries like Spark MLlib for machine learning and spark streaming for real-time data processing. This allows to perform advance analytics and build machine learning model at scale Review collected by and hosted on G2.com.

Integrating Spark with other tools or system may require additional development effort, especially when connecting to legacy data sources.

Although this can be addressed with experience and best . Review collected by and hosted on G2.com.

The best part I like as of my experience in memory computing power of spark it handle real time data processing with speed because of this we can do various task with speed . Review collected by and hosted on G2.com.

I hate spark configuration and some time it' is complex if user is beginner and the troubleshooting part is to hectic as compared previous program performance issue some time. Review collected by and hosted on G2.com.

It's infrastructure and syntax is pretty simple. And the codes are available in internet easily. Review collected by and hosted on G2.com.

Some of the codes are hard to understand. Sometimes the code doesn't work as the dataset is very large. Review collected by and hosted on G2.com.

I really like when it comes to smart inbox features as well as being able to change/customize the tool based on what I like and how I like, that personalization is making myself feel good about the product. Review collected by and hosted on G2.com.

The free-mium package is limited and eventually it is disturbing, altough natural, when everything you try to access is blocked by a paid impromptu interstitial Review collected by and hosted on G2.com.

Versatile and fault tolerance ,ensuring that data processing continues even in the event of node failures, which is crucial for mission-critical applications. Review collected by and hosted on G2.com.

It us very resource intensive, it is in-memory. Review collected by and hosted on G2.com.

It's easier to use. Which is the best thing i like about it. Review collected by and hosted on G2.com.

It requires large data for broadcast. Which makes me frustrated. Review collected by and hosted on G2.com.

It is an open source software, distributed processing system used for big data workloads. Review collected by and hosted on G2.com.

No file management system

Expensive

No Real time data processing Review collected by and hosted on G2.com.

Efficient in running the jobs and memory handling mechanism Review collected by and hosted on G2.com.

The monitoring of spark is a bit tricky and difficult to integrate. Though we can use spark ui, i feel that sonething like ganglia ui is better than this. Review collected by and hosted on G2.com.

Range of service offering in terms of being a single shop for branding, campaign, digital & motion work Review collected by and hosted on G2.com.

As a brand it needs more differentiation from its peer set and you should evaluate as per your needs Review collected by and hosted on G2.com.

The best part is to it is versatiledue to this wode range of data processing including batch processingreal time streaming. Review collected by and hosted on G2.com.

Some complexityand realtime processing due to real time processing Review collected by and hosted on G2.com.