Spark SQL Reviews & Product Details

I have been using Spark SQL for quite some time now, and I must say it has completely revolutionized the way I analyze and query large-scale datasets. With its impressive capabilities and seamless integration with Apache Spark, Spark SQL has become an essential tool in my data processing toolkit. Review collected by and hosted on G2.com.

One area where Spark SQL can be challenging is its learning curve. Review collected by and hosted on G2.com.

if you are familiar with sql queries, It is one of the best tool for you to analyse any data with minimum coding. it is effective of any type of data Review collected by and hosted on G2.com.

it is mostly awesome tool, but can provide intellisense, charts for user Review collected by and hosted on G2.com.

The best thing about Spark SQL is Its ability to work with Large dataset with parallel distribution. Currently, I am working on 80 GB dataset and It is very useful in that. Review collected by and hosted on G2.com.

As of now my experience is very good with spark. So, I don't dislike anything about Spark SQL so far. Review collected by and hosted on G2.com.

I like it's easy SQL like syntax when querying from tables Review collected by and hosted on G2.com.

I've been using it for around a year, so nothing to dislike Review collected by and hosted on G2.com.

The UI is very user friendly and easy to navigate through all the tools. Review collected by and hosted on G2.com.

There is no such thing I dislike about Spark SQL. Review collected by and hosted on G2.com.

The visual of editor in the website is too good, it helps me to find the errors happened in the actual line of code. Review collected by and hosted on G2.com.

Nothing, everything is good enough only. Review collected by and hosted on G2.com.

Spark SQL made easy querying in Spark and it is easy to integrate with Hive. Also, it is easy to connect to any data source, and mainly JDBC connections are simple which is much needed for Application developers or Data Engineers. Review collected by and hosted on G2.com.

As of now, errors related to oversized varchars are not shown. Apart from that, everything is good. Review collected by and hosted on G2.com.

It's a very comprehensive tool for all big data and data modeling. It was well managed Review collected by and hosted on G2.com.

Nothing. All good. I liked everything about it Review collected by and hosted on G2.com.

Spark SQL is very user friendly even for someone who isn't from core coding background. Review collected by and hosted on G2.com.

So far I din't find any downside of using Spark SQL in my job role. Review collected by and hosted on G2.com.

Spark SQL doesn't require schema or table-like structure for performing advanced aggregations. Code customization will be complicated when the dataset's schema changes, so Spark SQL supports customization. Review collected by and hosted on G2.com.

Most of the databases, like Hive, don't support this. Cost-Effective. Review collected by and hosted on G2.com.