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Spark Reviews & Product Details - Page 3

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Spark Overview

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What is Spark?

Spark - A micro framework for creating web applications in Java 8 with minimal effort

Spark Details

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Spark Community

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Product Description

Spark - A micro framework for creating web applications in Java 8 with minimal effort

Seller

The Apache Software Foundation

Description

Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

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Kubendra Reddy M.

Data Engineer

Enterprise (> 1000 emp.)

2/28/2022

"Top engine for distribute computing"

5/5

What do you like best about Spark?

What I like most is its in memory processing and its rich API libraries. We can code in Python, Scala, R, Java and most importantly in SQL. It follows lazy evaluation which only triggers when we run actions. It allows us to do cashing, persisting, partitioning, broadcasting and many more which optimise the performance. Review collected by and hosted on G2.com.

What do you dislike about Spark?

Nothing Spark is at its best. I see no drawbacks. Review collected by and hosted on G2.com.

Recommendations to others considering Spark:

If you are dealing with bigdata then good to go with Spark. Review collected by and hosted on G2.com.

What problems is Spark solving and how is that benefiting you?

I used to store the data in hive data warehouse and used to process the data with spark for better performance. We wrote the code mainly in sql which uses SparkSql and catalyst optimizer for better performance. Review collected by and hosted on G2.com.

Anson A.

Data Czar

Mid-Market (51-1000 emp.)

1/13/2022

"HAdoop? SPARK all the way"

4.5/5

What do you like best about Spark?

Fast, effecient, scalable, supports python and R now. Mostly in memory vs disks. Supports SparkSQL. Supports variety of libraries not available in Hadoop/MapREduce frameowork Review collected by and hosted on G2.com.

What do you dislike about Spark?

some libs that are not meant to be executed in a distributed, does not work well in Spark. SparkSQL doesn't do ACIDity (ie updates). Limited by memory per node. If not enough, then failure. Review collected by and hosted on G2.com.

Alexander D.

Head Photographer

Mid-Market (51-1000 emp.)

11/27/2021

"Smart and Small"

3.5/5

What do you like best about Spark?

I believe spark delivers the good without putting up excessive work. Spark has a wide enough array of features for a communication system to work properly on a business. It is light, easy to use, and simple to understand. Review collected by and hosted on G2.com.

What do you dislike about Spark?

At some point, it might be necessary to update the look and feel of this IM service as its main layout and appearance seems to have fallen behind in modern times. Review collected by and hosted on G2.com.

Recommendations to others considering Spark:

If your main goal is to find a simple solution to your communication needs when working in teams, provide live knowledge to workgroups, and make easy interactions between different hierarchy members, this is a great choice. Review collected by and hosted on G2.com.

What problems is Spark solving and how is that benefiting you?

It has provided swift ways to communicate in our small business group, in specific departments, it's secure, and allows for work-related messages to be sent back and forth without too much of a hassle. Review collected by and hosted on G2.com.

Verified User in Computer & Network Security

Small-Business (50 or fewer emp.)

7/15/2022

"Fast, clean, robust"

5/5

What do you like best about Spark?

High level APIs

Multi language support

Clean APIs

Powerful utility methods

Integration with multiple platforms and databases

Fast

Efficient use of Memory

Amazing ML support in pyspark Review collected by and hosted on G2.com.

What do you dislike about Spark?

More support in Java with cleaner methods and more suggestions. Add more about different methods in spark streaming. Review collected by and hosted on G2.com.

KanuPriya K.

Product Manager

Mid-Market (51-1000 emp.)

9/11/2021

"Spark for data processing"

4.5/5

What do you like best about Spark?

The best thing about spark is it provide massive parellel processing on large datatset which made my life so easy in term of time complexity. Review collected by and hosted on G2.com.

What do you dislike about Spark?

What i don't like about spark is complex coding syntax and there is not much documentation around operations. Review collected by and hosted on G2.com.

Verified User in Higher Education

Enterprise (> 1000 emp.)

7/28/2020

"Spark for modern big data processing"

4.5/5

What do you like best about Spark?

The best thing about spark is, it uses memory to do all the computation unlike hadoop which uses disk to do mapper and reducer tasks which eventually take a large amount of time. Review collected by and hosted on G2.com.

What do you dislike about Spark?

I feel debugging spark is a bit challenging since out of all mappers one can fail and it's really difficult to view the logs of each mapper to see which one failed Review collected by and hosted on G2.com.

Recommendations to others considering Spark:

I believe atleast people using hadoop should start using spark. Also, it's a bit challenging to use initially but once you get going it becomes easy. Review collected by and hosted on G2.com.

What problems is Spark solving and how is that benefiting you?

I used spark in my data mining course. Also I use spark to process high volume of logs in my company Review collected by and hosted on G2.com.

Zachary B.

Junior Data Analyst

Information Technology and Services

Enterprise (> 1000 emp.)

7/10/2019

"Apache Spark: Unified Analytics Engine"

4/5

What do you like best about Spark?

Spark is great for running batch and streaming big data jobs. It is very easy to work with, allowing you to distribute data in a fault tolerant way and allow you to scale out your performance depending on the job size. It's also great to have access to the Python, Scala and R API's. Review collected by and hosted on G2.com.

What do you dislike about Spark?

Join's in Spark can be very finnicky and can often be hard to trace back errors when performing jobs as the stack trace does not hold anything back. Review collected by and hosted on G2.com.

Recommendations to others considering Spark:

Spark is a great choice as a big data processing engine. It works extremely well for both batch and streaming data processing tasks. Additionally, having access to the R and Python API's is tremendously helpful. Review collected by and hosted on G2.com.

What problems is Spark solving and how is that benefiting you?

We are running big data jobs to perform machine learning tasks for our clients. This can be anything from forecasting, to inventory optimization to NLP. Review collected by and hosted on G2.com.

Verified User in Health, Wellness and Fitness

Enterprise (> 1000 emp.)

10/12/2019

"Faster processing "

5/5

What do you like best about Spark?

In memory processing of spark helps process large amount of data quickly. Complex analytics and Machine learning streams should start leveraging spark parallel processing. Review collected by and hosted on G2.com.

What do you dislike about Spark?

there is no support for real time processing. People who work should have a clear understanding om the data. Sometimes small files have issues processing in large clustered spark environment. Review collected by and hosted on G2.com.

Verified User in Marketing and Advertising

Mid-Market (51-1000 emp.)

9/27/2019

"Easy to use, easy to talk"

5/5

What do you like best about Spark?

Its so simple to communicate with my coworkers Review collected by and hosted on G2.com.

What do you dislike about Spark?

You have to click on contact name to see previous conversations instead of there being a tab with old conversations Review collected by and hosted on G2.com.