1. Speed of the queries when executing on Databricks
2. It gets easily integrated with scala.
3. Very easy for distribution data. Review collected by and hosted on G2.com.
1. Cost is very high
2. Maintenance is very high and complex Review collected by and hosted on G2.com.
The speed and efficiency of SQL querying on distributed computing of Apache Spark platform is what I like the most about Spark SQL. Review collected by and hosted on G2.com.
The only disadvantage of Spark SQL that i dislike is, it lacks advanced security features Review collected by and hosted on G2.com.
Spark SQL is incredibly fast when dealing with large amounts of data. And provides almost every function that is commonly used to transform and query data. Review collected by and hosted on G2.com.
It is not as intuitive as using exactly SQL. But I have found almost every function I need available but need to comb through the documentation. Review collected by and hosted on G2.com.
Distribution and faster query process and aggregation Review collected by and hosted on G2.com.
Not specific one,sometime it took longer time for aggregation Review collected by and hosted on G2.com.
Easy to learn and easy to understand. Can write complex queries in just few lines compare with oracle SQL queries. Review collected by and hosted on G2.com.
While working with huge data sometimes get hang. Review collected by and hosted on G2.com.
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What type of SQL does Spark use?
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