Compare Grails and Spark Software 
- Users report that Grails has a lower star rating of 3.6 compared to Spark's 4.3, indicating that overall satisfaction may be higher with Spark among users.
- Reviewers mention that Grails is primarily favored by small businesses (47.8% of reviews), while Spark is more popular in the enterprise segment (38.5% of reviews), suggesting that Spark may offer features better suited for larger organizations.
- G2 users highlight that Grails has a lower quality of support rating (6.5) compared to Spark (7.6), which may impact user experience and problem resolution.
- Users on G2 report that both products have the same ease of setup rating (8.1), indicating that users find both platforms relatively straightforward to implement.
- Reviewers mention that Grails has a lower score for product direction (6.3) compared to Spark (7.1), suggesting that users may feel more confident in Spark's future development and feature enhancements.
- Users say that while Grails excels in ease of use (8.6), Spark slightly outperforms it with an ease of use rating of 8.7, indicating that both products are user-friendly but Spark may have a slight edge in this area.
I like the easiness of the framework. One can really get a quick start on a project. Even if someone has started the development, he can also take advantage of it to create a prototype quickly.
Since it uses Java, the development requires so much hardware, or it may be tedious cause this is slow. Another point is that it changes so much, features appear and desappar from a version to other.
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,...
The inefficiency of the product. It is a terrible way to communicate effectively
I like the easiness of the framework. One can really get a quick start on a project. Even if someone has started the development, he can also take advantage of it to create a prototype quickly.
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,...
Since it uses Java, the development requires so much hardware, or it may be tedious cause this is slow. Another point is that it changes so much, features appear and desappar from a version to other.
The inefficiency of the product. It is a terrible way to communicate effectively
