Spark Reviews & Provider Details

-- learn the basics, with a solid understanding of distributed computing concept

-- leverage caching

-- stay informed with ongoing developments and new libraries

-- consider cloud service Review collected by and hosted on G2.com.

-- handle massive volume of data efficiently

-- In-memory processing

-- Spark offers APIs in multiple programming languages ( python, scala, java )

-- Real time data processing, helps in monitoring social media trends and real- time fraud detection

-- Can connect with various data sources

-- It is cost efficient, and we can scale resources up or down as needed, reducing infrastructure costs Review collected by and hosted on G2.com.

If you are using large data set in real time processing I suggest to use spark as compared to Hadoop it is better to use . Review collected by and hosted on G2.com.

As of my expirence when I use spark in my previous project it is easy to our work when we work with large data or will divide in cluster to avoid workload an the best part is this spark use in memory computing due to this processing is fast as compared to Hadoop. Review collected by and hosted on G2.com.

It's a great tool for large dataset. If the data is not structured data, then spark can be used. By this you can remove unwanted things from the data and make it clean and usable. Review collected by and hosted on G2.com.

Big data problems can be easily solvable using spark. If there is a dataset which has huge amount of data which has to be undergone through many transformations spark is the best option. This is how it is benefitting in my work. Review collected by and hosted on G2.com.

I'd recommend the usage of Spark only after a carefult due diligence is being made, because every organization might have different needs and they might need more tailor made soluiton for themselves. Review collected by and hosted on G2.com.

Spark is solving email management for us, especially send later feature is helping me to organize my business when we work from home where our work time sometimes might be different. Review collected by and hosted on G2.com.

Definitely use this Review collected by and hosted on G2.com.

Sprak solves various problems in the field of data analytics and processing. Its benefits can be significant for businesses and individuals in several ways like business analytics and speed.

Very cost efficient. Review collected by and hosted on G2.com.

Although it has few limitations but it's a best software to use. Review collected by and hosted on G2.com.

It's high speed is solving many connection problem. It helps me to consume less time than other software in this field. Review collected by and hosted on G2.com.

Spark is the multi-language engine for executing data engineering, data science and machine learning on single node. Review collected by and hosted on G2.com.

Spark can be used efficiently if its properly integrated with the system. Review collected by and hosted on G2.com.

It is used for stream processing & machine learning purposes, highly used for analyzing and processing our data with the help of notebooks. Review collected by and hosted on G2.com.

As of my expirenence it helps us to handle latlrge dataset for faster performance when we analytics the dataand the best things is to in memory processing as compare to hadoop. Review collected by and hosted on G2.com.

There wasn't an option at the time to have meetings like other systems do now. This would have been useful because we had many employees in different locations. Review collected by and hosted on G2.com.

We used Spark to communicate important process or policy changes within the company. This ensured real time changes could be made from 1 location to many departments at once. Review collected by and hosted on G2.com.